22 datasets found
  1. Osint_public_profiles_dataset

    • kaggle.com
    zip
    Updated May 27, 2025
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    Aniket kumar (2025). Osint_public_profiles_dataset [Dataset]. https://www.kaggle.com/datasets/alliot032/osint-public-profiles-dataset
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    zip(182999 bytes)Available download formats
    Dataset updated
    May 27, 2025
    Authors
    Aniket kumar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    🕵️‍♂️ Advanced OSINT Public Profiles Dataset (Synthetic) 📄 Overview This dataset contains 2,000 synthetic public profile records generated for open-source intelligence (OSINT) research, cybersecurity education, and red team simulation. It mimics realistic personal, professional, and breach-related information typically found through OSINT tools and techniques.

    It is 100% synthetic — no real individuals or private data were used.

    Column NameDescription
    Name Full name of the synthetic individual
    Username Commonly used username
    Email Generated email address
    Phone Randomly formatted phone number
    Twitter Simulated Twitter profile link
    LinkedIn Simulated LinkedIn profile link
    Domain Domain name associated with the person
    Location City and country
    Job_Title Profession or role
    Company Employer or organization
    IP_Address Public IPv4 address
    MAC_Address Synthetic MAC address
    Breached Indicates whether their data was breached
    Breach_Source Known breach source (LinkedIn, Dropbox, etc.)
    Breach_Year Year of breach (if applicable)
    Password_StrengthSimulated password strength: Weak, Moderate, or Strong
    Public_PastebinWhether their data appeared on a pastebin (Yes/No)

    🎯 Use Cases You can use this dataset for:

    ✅ OSINT Reconnaissance Practice

    ✅ Identity Risk Scoring Systems

    ✅ Cybersecurity Education & Red Team Simulations

    ✅ NLP & Fuzzy Matching for Entity Resolution

    ✅ Network Graphs of Breached Users

    ✅ Training AI models for fake profile detection

    ✅ Demonstrating recon tools and dashboards 📌 License This dataset is licensed under the Creative Commons CC0 1.0 — Public Domain Dedication.

    Feel free to use it in your academic projects, machine learning models, blogs, or demos — with or without attribution.

  2. O

    Open-Source Intelligence (OSINT) Software and Tools Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Jul 10, 2025
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    Market Research Forecast (2025). Open-Source Intelligence (OSINT) Software and Tools Report [Dataset]. https://www.marketresearchforecast.com/reports/open-source-intelligence-osint-software-and-tools-540017
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2026 - 2034
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Open-Source Intelligence (OSINT) Software and Tools market is booming, projected to reach $7 billion by 2033. Learn about key market drivers, trends, and leading companies shaping this rapidly evolving landscape. Discover insights into regional market share and future growth projections.

  3. c

    The global Open-Source Intelligence - OSINT Market size will be USD 9124.5...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, The global Open-Source Intelligence - OSINT Market size will be USD 9124.5 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/open-source-intelligence-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2022 - 2034
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Open-Source Intelligence - OSINT Market size was USD 9124.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 25.20% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 3649.80 million in 2024 and will grow at a compound annual growth rate (CAGR) of 23.4% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 2737.35 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 2098.64 million in 2024 and will grow at a compound annual growth rate (CAGR) of 27.2% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 456.23 million in 2024 and will grow at a compound annual growth rate (CAGR) of 24.6% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 182.49 million in 2024 and will grow at a compound annual growth rate (CAGR) of 24.9% from 2024 to 2031.
    The Social Media Analytics category is the fastest growing segment of the Open-Source Intelligence industry
    

    Market Dynamics of Open-Source Intelligence - OSINT Market

    Key Drivers for Open-Source Intelligence - OSINT Market

    Growth of Open Data from Social Media, Government, and Online Sources Boosting the OSINT Market
    

    The expanding availability of open data from sources like social media, government publications, and online forums is a significant driver of the Open-Source Intelligence (OSINT) market. As more public data becomes accessible, organizations can leverage it for various intelligence-gathering purposes, such as threat detection, market analysis, and competitive intelligence. This wealth of open data allows businesses and security agencies to enhance decision-making, monitor trends, and predict risks. The ease of access to diverse, real-time data fuels the demand for OSINT tools that can efficiently process and analyze vast amounts of information.

    Rising Cybersecurity Threats Drive Increased Demand for OSINT Solutions to Proactively Detect and Mitigate Risks
    

    Increasing cyber threats and attacks globally have heightened the demand for advanced intelligence tools like OSINT to prevent and mitigate potential risks. OSINT solutions help organizations identify vulnerabilities, monitor suspicious activities, and track emerging threats in real-time, especially in sectors such as finance, healthcare, and government. The growing frequency and sophistication of cyberattacks create a strong need for proactive defence mechanisms. OSINT provides essential insights to detect threats early, ensuring robust cybersecurity measures are in place. As a result, the OSINT market continues to grow in response to these escalating cybersecurity concerns.

    Restraint Factor for the Open-Source Intelligence - OSINT Market

    Data Privacy and Ethical Concerns Impacting the Growth of the Open-Source Intelligence Market
    

    Despite the growing use of OSINT, concerns surrounding data privacy and ethical issues pose a restraint to the market. The collection and analysis of publicly available data may raise questions about the boundaries of personal privacy, especially when social media and other public platforms are involved. Organizations using OSINT tools must navigate legal regulations and ethical considerations regarding data usage, especially in jurisdictions with strict privacy laws. These concerns may limit the adoption of OSINT solutions in certain sectors and regions, creating challenges for market growth as businesses strive to balance intelligence gathering with privacy compliance.

    Impact of COVID-19 on the Open-Source Intelligence (OSINT) Market
    

    The COVID-19 pandemic significantly impacted the Open-Source Intelligence (OSINT) market by accelerating the demand for real-time intelligence and data analysis. With increased reliance on digital platforms during lockdowns, the volume of publicly available data surged, presenting new opportunities for OSINT solutions. Businesses, governments, and security agencies turned to OSINT for monitoring emerging threats, tracking public sentiment, and analyzing global trends. However, the pandemic also heightened concerns about data privacy and the ethical i...

  4. d

    Key Stakeholders Interviewed

    • datainsightsreports.com
    Updated Jul 2, 2026
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    (2026). Key Stakeholders Interviewed [Dataset]. https://www.datainsightsreports.com/reports/open-source-intelligence-osint-market-15263
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    Dataset updated
    Jul 2, 2026
    Variables measured
    Interview Share Allocation by Stakeholder Role
    Description

    Primary research representation of key stakeholders interviewed: Director of Threat Intelligence (35%), VP of Security Operations (25%), Lead OSINT Investigator (20%), Head of Cyber Warfare/Intelligence (20%).

  5. A Systematic Review on Research Utilising Artificial Intelligence for Open...

    • opal.latrobe.edu.au
    xlsx
    Updated Apr 7, 2024
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    Thomas Oakley Browne; Mohammad Jabed Morshed Chowdhury; Mohammad Abedin (2024). A Systematic Review on Research Utilising Artificial Intelligence for Open Source Intelligence (OSINT) Applications - Search and Data.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.25558899.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Apr 7, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Thomas Oakley Browne; Mohammad Jabed Morshed Chowdhury; Mohammad Abedin
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This Excel file contains data for a systematic review conducted on literature leveraging AI for OSINT purposes. The review is titled "A Systematic Review on Research Utilising Artificial Intelligence for Open Source Intelligence (OSINT) Applications".

  6. d

    Industry Ecosystem Breakdown

    • datainsightsreports.com
    Updated Jul 2, 2026
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    (2026). Industry Ecosystem Breakdown [Dataset]. https://www.datainsightsreports.com/reports/open-source-intelligence-osint-market-15263
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    Dataset updated
    Jul 2, 2026
    Variables measured
    Ecosystem Representation Share by Company Type
    Description

    Industry ecosystem breakdown of companies surveyed and analyzed: OSINT Platform Developers (30%), Cybersecurity & Threat Intelligence Firms (25%), Data Analytics & Visualization Software Vendors (20%), Digital Forensics & Investigation Services (15%), Managed Security Service Providers (MSPs) offering OSINT (10%).

  7. O

    Open-Source Intelligence (OSINT) Market Report

    • datainsightsreports.com
    doc, pdf, ppt
    Updated Jul 2, 2026
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    Srinwanti Kar (2026). Open-Source Intelligence (OSINT) Market Report [Dataset]. https://www.datainsightsreports.com/reports/open-source-intelligence-osint-market-15263
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jul 2, 2026
    Dataset provided by
    Data Insights Reports
    Authors
    Srinwanti Kar
    License

    https://www.datainsightsreports.com/privacy-policyhttps://www.datainsightsreports.com/privacy-policy

    Time period covered
    2026 - 2034
    Area covered
    Global
    Variables measured
    Market Size
    Measurement technique
    Primary and Secondary Research Methodology Mix. Primary research interviews breakdown: Director of Threat Intelligence (35%), VP of Security Operations (25%), Lead OSINT Investigator (20%), Head of Cyber Warfare/Intelligence (20%). Industry ecosystem representation: OSINT Platform Developers (30%), Cybersecurity & Threat Intelligence Firms (25%), Data Analytics & Visualization Software Vendors (20%), Digital Forensics & Investigation Services (15%), Managed Security Service Providers (MSPs) offering OSINT (10%). Secondary research includes analysis of annual reports, press releases, white papers, paid databases, and industry associations.
    Description

    The Open-Source Intelligence (OSINT) Market expands due to rising cybercrimes, terrorism, and AI adoption in defense. Analyze market drivers and strategic growth opportunities. Key drivers for this market are: The rising availability of publicly available unclassified information, Rise in illegal practices such as cybercrimes, and terrorism, Rapid penetration of advanced big data processing and data analytics, Penetration of artificial intelligence across the military and defense sector, Growing affinity of enterprises toward unstructured data for business intelligence. Potential restraints include: Stringent regulations on data privacy and fair usage of publicly available data, Lack of expert professionals and limited skillsets in the OSINT industry.

  8. D

    OSINT Fusion For Defense Intelligence Market Research Report 2034

    • dataintelo.com
    csv, pdf, pptx
    Updated May 14, 2026
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    Dataintelo (2026). OSINT Fusion For Defense Intelligence Market Research Report 2034 [Dataset]. https://dataintelo.com/report/osint-fusion-for-defense-intelligence-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    May 14, 2026
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2025 - 2034
    Area covered
    United States, Japan, France, South Korea, United Kingdom, Germany, Worldwide, China
    Description

    OSINT Fusion for Defense Intelligence market valued at $12.8B in 2025, projected to reach $28.5B by 2034, growing at 10.8% CAGR. Component, deployment, application analysis.

  9. G

    OSINT Fusion for Defense Intelligence Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
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    Growth Market Reports (2025). OSINT Fusion for Defense Intelligence Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/osint-fusion-for-defense-intelligence-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    OSINT Fusion for Defense Intelligence Market Outlook



    According to our latest research for 2024, the global OSINT Fusion for Defense Intelligence market size stands at USD 2.1 billion, reflecting the rapid adoption of advanced intelligence solutions across defense and security sectors. The market is experiencing robust momentum, with a projected CAGR of 13.7% from 2025 to 2033. By the end of 2033, the market is forecasted to reach USD 6.4 billion, driven by escalating geopolitical threats, increased investments in cyber and border security, and the need for real-time, actionable intelligence. This growth is underpinned by the integration of emerging technologies such as artificial intelligence and machine learning into OSINT fusion platforms, enhancing the efficiency and effectiveness of defense intelligence operations.




    The primary growth factor for the OSINT Fusion for Defense Intelligence market is the intensifying complexity of modern warfare and security threats. Governments and defense organizations worldwide are facing asymmetrical threats, including cyberattacks, terrorism, and hybrid warfare, which necessitate the use of sophisticated intelligence-gathering tools. OSINT fusion platforms aggregate and analyze data from publicly available sources such as social media, news outlets, blogs, and forums, enabling defense agencies to obtain actionable insights quickly. The ability to correlate disparate information streams and generate a comprehensive threat landscape is increasingly critical for national security, driving widespread adoption of OSINT fusion solutions.




    Another significant driver is the rapid technological advancements in artificial intelligence, machine learning, and big data analytics. Modern OSINT fusion platforms leverage these technologies to automate data collection, filtering, and analysis, vastly improving the speed and accuracy of intelligence outputs. Defense agencies are investing in these platforms to enhance situational awareness, improve decision-making, and reduce the time required to identify and respond to threats. The scalability and flexibility offered by cloud-based deployments further accelerate adoption, especially in regions with limited legacy infrastructure, supporting a more agile defense intelligence capability.




    The increasing collaboration between public and private sectors also contributes to market growth. Defense organizations are partnering with technology vendors, cybersecurity firms, and research institutions to develop and implement advanced OSINT fusion solutions. These collaborations are instrumental in addressing evolving security challenges, ensuring access to the latest innovations, and facilitating the integration of multiple data sources. Additionally, regulatory mandates and government initiatives aimed at strengthening national security infrastructure are fostering the deployment of OSINT fusion platforms, particularly in regions facing persistent security threats.




    Regionally, North America dominates the OSINT Fusion for Defense Intelligence market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, is a major adopter, driven by significant defense budgets, advanced technological capabilities, and a strong focus on counterterrorism and cybersecurity. Europe is witnessing substantial growth due to rising concerns over border security and terrorism, while Asia Pacific is emerging as a high-growth region due to increasing military modernization programs and geopolitical tensions. Latin America and the Middle East & Africa are also showing steady adoption, primarily driven by growing investments in homeland security and law enforcement modernization.





    Component Analysis



    The OSINT Fusion for Defense Intelligence market is segmented by component into Software, Services, and Platforms. The software segment constitutes the backbone of the market, encompassing advanced analytics tools, data aggregation engines, and visualization modules. These soft

  10. R

    AI Cybersecurity Clearinghouse Platforms Market Research Report 2034

    • researchintelo.com
    csv, pdf, pptx
    Updated Jun 24, 2026
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    Research Intelo (2026). AI Cybersecurity Clearinghouse Platforms Market Research Report 2034 [Dataset]. https://researchintelo.com/report/ai-cybersecurity-clearinghouse-platforms-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jun 24, 2026
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2025 - 2034
    Area covered
    Global
    Description


    Key Takeaways: AI Cybersecurity Clearinghouse Platforms Market



    • Global AI Cybersecurity Clearinghouse Platforms market valued at $2.1 billion in 2025

    • Expected to reach $17.8 billion by 2034 at a CAGR of 27.0%

    • Threat Intelligence Sharing APIs held the largest type segment share at 44.2% in 2025

    • North America dominated with $1.1 billion revenue share representing 52.4% of global market in 2025

    • Key drivers: escalating nation-state cyber threats, federal mandates for automated threat sharing, AI-driven anomaly detection at scale

    • Recorded Future led the competitive landscape with the broadest threat intelligence graph coverage

    • Report spans 2025 to 2034 with 195+ pages of analysis covering type, application, and regional dimensions



    AI Cybersecurity Clearinghouse Platforms Market Outlook 2025-2034


    The global AI Cybersecurity Clearinghouse Platforms market was valued at $2.1 billion in 2025 and is projected to reach $17.8 billion by 2034, expanding at a compound annual growth rate (CAGR) of 27.0% during the forecast period 2026-2034, making it one of the fastest-growing segments within the broader homeland security technology landscape.


    AI Cybersecurity Clearinghouse Platforms represent a transformative category of security infrastructure that aggregates, normalizes, analyzes, and redistributes cyber threat intelligence across government and private sector ecosystems in near-real time. These platforms combine machine learning-based pattern recognition, natural language processing for unstructured threat feed ingestion, and graph analytics to correlate indicators of compromise (IoCs) across thousands of participating entities simultaneously. The urgency driving adoption stems from the dramatic acceleration of sophisticated cyberattacks targeting critical national infrastructure, supply chains, and federal civilian networks. Nation-state threat actors affiliated with adversarial governments have demonstrated the capability to dwell undetected in federal networks for months, as evidenced by a series of high-profile intrusions reported across multiple U.S. government agencies between 2020 and 2025. Traditional siloed security operations centers (SOCs) operating with manually curated threat feeds are structurally incapable of matching the speed and scale at which modern adversaries operate. AI-powered clearinghouse platforms address this gap by enabling automated ingestion of billions of telemetry signals per day from endpoint detection systems, network sensors, dark web monitoring feeds, and open-source intelligence (OSINT) repositories, then applying probabilistic scoring and kill-chain mapping to surface actionable intelligence within seconds. Federal mandates including the May 2021 Executive Order on Improving the Nation's Cybersecurity, CISA's Binding Operational Directives, and the Cyber Incident Reporting for Critical Infrastructure Act (CIRCIA) of 2022 have collectively created a legal and regulatory framework that makes automated threat sharing and incident reporting not merely optional but obligatory for a growing universe of federal contractors, critical infrastructure operators, and regulated industries. This regulatory tailwind, combined with the rapid maturation of cloud-native AI infrastructure, has catalyzed a wave of investment and platform consolidation that is expected to sustain the market's exceptional growth trajectory through 2034.




    Market Size (2025)

    $2.1B


    <div style="flex:1;m

  11. F

    Open Source Intelligence Market By Security (Human Intelligence, Content...

    • fnfresearch.com
    pdf
    Updated Jul 5, 2026
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    Facts and Factors (2026). Open Source Intelligence Market By Security (Human Intelligence, Content Intelligence, Link/Network Analytics, Data Analytics, Artificial Intelligence, & Big Data Security), By Technology (Big Data Software, Video Analytics, Text Analytics, Visualization Tools, Cyber Security, Web Analytics, & Others), By Application (Military & Defense, Private Sector, Public Sector, National Security, & Others), And By Regions - Global & Regional Industry Perspective, Comprehensive Analysis, and Forecast 2021 – 2026 [Dataset]. https://www.fnfresearch.com/open-source-intelligence-market-by-sources-public-government-143
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 5, 2026
    Dataset authored and provided by
    Facts and Factors
    License

    https://www.fnfresearch.com/privacy-policyhttps://www.fnfresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    [205+ Pages Report] Global Open Source Intelligence Market is estimated to reach a value of USD 28.34 Billion in the year 2026 with a growth rate of 19.9% CAGR during 2021-2026

  12. R

    Generative AI Platforms for DHS Threat Intelligence Market Research Report...

    • researchintelo.com
    csv, pdf, pptx
    Updated Jun 24, 2026
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    Research Intelo (2026). Generative AI Platforms for DHS Threat Intelligence Market Research Report 2034 [Dataset]. https://researchintelo.com/report/generative-ai-platforms-for-dhs-threat-intelligence-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jun 24, 2026
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2025 - 2034
    Area covered
    Global
    Description


    Key Takeaways: Generative AI Platforms for DHS Threat Intelligence Market



    • Global market valued at $2.1 billion in 2025, driven by rapid adoption across homeland security agencies

    • Expected to reach $17.8 billion by 2034 at a CAGR of 30.2% through the forecast period

    • AI-Powered Data Fusion Engines held the largest segment share at 44.5% in 2025

    • North America dominated with 58.3% revenue share, reflecting concentrated DHS and federal procurement

    • Key drivers: escalating cross-border threats, federal AI investment mandates, and real-time intelligence requirements

    • Palantir Technologies led the competitive landscape with deep government integrations

    • Report spans 2025 to 2034 with 240+ pages of analysis covering 2 segments and 7 sub-segments



    Generative AI Platforms for DHS Threat Intelligence Market Outlook 2026-2034


    The generative AI platforms for DHS threat intelligence market was valued at $2.1 billion in 2025 and is projected to reach $17.8 billion by 2034, expanding at a compound annual growth rate (CAGR) of 30.2% during the forecast period from 2026 to 2034. This exceptional growth trajectory reflects a fundamental transformation in how the U.S. Department of Homeland Security and allied federal agencies are harnessing large language models, transformer-based architectures, and multi-modal AI reasoning to process, synthesize, and act upon vast streams of intelligence data in real time. The convergence of generative AI capabilities with classified data environments, secure government clouds, and mission-critical operational workflows is creating an entirely new market layer that did not exist in any meaningful commercial form prior to 2022. As of 2026, federal procurement data shows DHS allocating between $10 million and $20 million per individual AI-enhanced surveillance and intelligence contract, with aggregate program-level spending running well into the hundreds of millions annually. This momentum is set to accelerate as agencies mandate AI integration under the National AI Initiative Act and subsequent executive directives, pushing platform vendors to deliver FedRAMP High and IL5/IL6 certified generative AI solutions at scale.


    The primary catalyst for this market is the exponential growth in unstructured intelligence data - ranging from open-source intelligence (OSINT) harvested across social media, dark web forums, and foreign-language communications, to sensor feeds from border surveillance assets, biometric screening databases, and financial transaction monitoring systems. Traditional rule-based analytics platforms are fundamentally incapable of synthesizing this heterogeneous data volume in near-real time without enormous human analyst overhead. Generative AI platforms address this gap by deploying retrieval-augmented generation (RAG) architectures that can ingest classified document repositories, cross-reference emerging threat indicators, and produce natural-language intelligence briefs that analysts can act upon within minutes rather than hours or days. The shift from reactive to predictive threat posture is a central strategic goal across DHS component agencies - including CBP, ICE, TSA, CISA, and FEMA - and generative AI platforms are becoming the enabling technology layer that makes this posture operationally viable. Funding in fiscal year 2025 and 2026 reflects this urgency, with multiple multi-year IDIQ vehicles exceeding $500 million in ceiling value specifically earmarked for AI-driven intelligence modernization across the homeland security enterprise.




    Market Size (2025)

    <div style="font-size:1.8rem;font-weight

  13. H

    Intelligence Theory 2026 – Supplementary Research Materials and Supporting...

    • dataverse.harvard.edu
    Updated Jul 6, 2026
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    ÇAĞDAŞ İNAL (2026). Intelligence Theory 2026 – Supplementary Research Materials and Supporting Documentation [Dataset]. http://doi.org/10.7910/DVN/0R7G3P
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 6, 2026
    Dataset provided by
    Harvard Dataverse
    Authors
    ÇAĞDAŞ İNAL
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset accompanies the scholarly book "Intelligence Theory 2026". It contains supplementary research materials, conceptual models, tables, figures, bibliographic references, appendices, metadata, and supporting documentation developed during the preparation of the book. The research focuses on intelligence studies, artificial intelligence, cognitive warfare, cybersecurity, open-source intelligence (OSINT), strategic analysis, decision intelligence, and emerging technologies. The purpose of this dataset is to improve transparency, reproducibility, citation, and long-term preservation of the research outputs associated with the publication.

  14. G

    All-Source Intelligence Platform Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 6, 2025
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    Growth Market Reports (2025). All-Source Intelligence Platform Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/all-source-intelligence-platform-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 6, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    All-Source Intelligence Platform Market Outlook



    According to our latest research, the global All-Source Intelligence Platform market size reached USD 6.4 billion in 2024, demonstrating robust growth fueled by increasing security needs across sectors. The market is projected to expand at a CAGR of 13.2% from 2025 to 2033, reaching an estimated USD 19.1 billion by 2033. This expansion is primarily driven by the rising demand for integrated intelligence solutions among government, defense, and commercial entities seeking to counter evolving threats and harness actionable insights from vast data sources.



    One of the primary growth drivers for the All-Source Intelligence Platform market is the escalating complexity and volume of data generated across various sectors. Modern intelligence operations require the assimilation, analysis, and visualization of structured and unstructured data from multiple sources, including open-source intelligence, signals intelligence, and cyber intelligence. The proliferation of digital channels, IoT devices, and cloud-based infrastructures has further amplified the need for platforms capable of providing comprehensive situational awareness. Organizations, especially in defense and homeland security, are increasingly investing in advanced analytics and AI-powered solutions to facilitate real-time decision-making and threat mitigation, thereby accelerating market growth.



    Another significant factor propelling the market is the intensifying global security landscape, marked by sophisticated cyber-attacks, geopolitical tensions, and transnational crime. Governments and intelligence agencies are prioritizing the deployment of all-source intelligence platforms to enhance their capabilities in threat detection, risk assessment, and operational planning. The integration of machine learning, big data analytics, and automation within these platforms enables proactive identification of potential threats and rapid response. Moreover, the commercial sector, including financial services and critical infrastructure, is adopting these solutions to safeguard assets, ensure regulatory compliance, and maintain business continuity, thus broadening the market’s application scope.



    Technological advancements and the evolution of cloud computing have significantly contributed to the adoption and scalability of all-source intelligence platforms. Cloud-based deployment models offer enhanced flexibility, scalability, and cost-efficiency, allowing organizations to leverage advanced analytics and storage capabilities without substantial upfront investments. The emergence of hybrid and multi-cloud architectures has further facilitated seamless integration across disparate data sources, fostering collaboration between agencies and departments. Additionally, ongoing research and development in artificial intelligence, natural language processing, and data fusion technologies are expected to unlock new capabilities, making these platforms indispensable in both public and private sectors.



    From a regional perspective, North America dominates the All-Source Intelligence Platform market, owing to substantial investments in defense modernization and cybersecurity infrastructure. The United States, in particular, leads in terms of technology adoption and innovation, supported by a robust ecosystem of government agencies, defense contractors, and technology providers. Europe follows closely, driven by heightened security concerns, regulatory mandates, and cross-border intelligence-sharing initiatives. The Asia Pacific region is witnessing rapid growth, fueled by increasing defense budgets, digital transformation, and the rising threat of cyber-attacks. Meanwhile, Latin America and the Middle East & Africa are emerging markets, gradually increasing their adoption of intelligence platforms to address regional security challenges and bolster national defense capabilities.





    Component Analysis



    The All-Source Intelligence Platform market is segmented by component into software, hardware, and services, each playing a vital role in delivering com

  15. G

    OSINT Automation and Enrichment Pipelines Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 7, 2025
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    Growth Market Reports (2025). OSINT Automation and Enrichment Pipelines Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/osint-automation-and-enrichment-pipelines-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    OSINT Automation and Enrichment Pipelines Market Outlook



    According to our latest research, the global OSINT Automation and Enrichment Pipelines market size reached USD 2.14 billion in 2024, reflecting robust adoption across diverse sectors. The market is projected to grow at a CAGR of 16.8% during the forecast period, with the total market value expected to reach USD 10.04 billion by 2033. This strong growth trajectory is primarily driven by the escalating need for real-time threat intelligence, automation in security operations, and the increasing complexity of cyber threats. The proliferation of digital transformation initiatives and evolving regulatory requirements worldwide further bolster the demand for advanced OSINT automation and enrichment pipelines.




    One of the foremost growth factors for the OSINT Automation and Enrichment Pipelines market is the exponential rise in cyber threats and sophisticated attacks targeting both public and private sector organizations. As threat actors become more advanced, organizations are compelled to adopt automated OSINT solutions that can rapidly gather, analyze, and enrich vast volumes of open-source data. This automation not only accelerates the detection and mitigation of threats but also enhances the accuracy and relevance of intelligence, allowing security teams to proactively address vulnerabilities. The growing volume of data generated from social media, forums, and other digital platforms has made manual analysis impractical, further driving the shift towards automation and enrichment pipelines in OSINT.




    Another significant growth driver is the increasing emphasis on regulatory compliance and risk management across industries such as BFSI, healthcare, and government. Regulatory bodies worldwide are tightening mandates around data protection, threat monitoring, and incident response, compelling organizations to invest in robust OSINT automation platforms. These solutions enable organizations to maintain compliance by providing timely alerts, comprehensive audit trails, and actionable intelligence. Additionally, the integration of artificial intelligence and machine learning within OSINT enrichment pipelines is revolutionizing data correlation and contextualization, leading to more precise and actionable insights for risk management and compliance purposes, thereby propelling market growth.




    The rapid advancement of cloud technologies and scalable deployment models is also catalyzing market expansion. Cloud-based OSINT automation and enrichment pipelines provide organizations with flexibility, cost-efficiency, and seamless integration with existing security operations centers (SOCs). These platforms facilitate real-time collaboration, remote threat monitoring, and centralized intelligence management, which are critical in today’s distributed work environments. The growing adoption of hybrid and multi-cloud environments further accelerates the demand for cloud-native OSINT solutions, as organizations seek to secure their expanding digital footprint while maintaining operational agility. This technological evolution is expected to sustain the market’s upward momentum over the coming years.




    From a regional perspective, North America currently dominates the OSINT Automation and Enrichment Pipelines market, benefiting from a mature cybersecurity ecosystem, significant investments in threat intelligence, and the presence of leading technology providers. However, Asia Pacific is emerging as the fastest-growing region, driven by rapid digitalization, increasing cybercrime incidents, and government-led cybersecurity initiatives. Europe also exhibits strong growth potential, particularly in sectors such as BFSI and healthcare, where stringent data protection regulations are in place. The Middle East & Africa and Latin America are witnessing growing awareness and adoption, albeit from a smaller base, as organizations in these regions prioritize security modernization and regulatory compliance.





    Component Analysis


  16. G

    OSINT Triage Automation Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 6, 2025
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    Growth Market Reports (2025). OSINT Triage Automation Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/osint-triage-automation-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Oct 6, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    OSINT Triage Automation Market Outlook



    According to our latest research, the OSINT Triage Automation market size reached USD 1.42 billion globally in 2024, driven by the increasing demand for rapid, accurate, and scalable open-source intelligence solutions across multiple industries. The market is exhibiting robust momentum, with a recorded CAGR of 18.7% from 2025 to 2033. By 2033, the OSINT Triage Automation market is forecasted to reach USD 7.57 billion, reflecting the escalating need for automated intelligence gathering and analysis in the face of growing cyber threats and complex digital environments. This growth is primarily fueled by advancements in AI-driven analytics, expanding cybercrime risks, and the adoption of digital transformation strategies across both public and private sectors.




    The primary growth factor propelling the OSINT Triage Automation market is the rapid evolution of cyber threats and the corresponding need for real-time, actionable intelligence. As organizations face increasingly sophisticated attacks, manual intelligence gathering is no longer sufficient to keep pace with the volume and complexity of data generated from open sources. Automation in OSINT triage enables security teams to efficiently process vast datasets, identify potential threats, and prioritize incidents with minimal human intervention. The integration of artificial intelligence and machine learning algorithms has significantly enhanced the accuracy and speed of threat detection, making automated OSINT solutions indispensable for modern security operations centers. Furthermore, the growing adoption of digital technologies and cloud-based infrastructures has expanded the attack surface, necessitating more advanced and scalable intelligence tools to safeguard critical assets.




    Another significant driver for the OSINT Triage Automation market is the increasing regulatory and compliance pressures across various industries, particularly in sectors such as BFSI, healthcare, and government. Regulatory frameworks such as GDPR, HIPAA, and industry-specific mandates require organizations to proactively monitor, detect, and respond to potential data breaches and compliance violations originating from open sources. Automated OSINT solutions provide a comprehensive approach to continuous monitoring, risk assessment, and incident response, helping organizations stay ahead of regulatory requirements and avoid costly penalties. The ability to automate the collection and analysis of publicly available information not only improves operational efficiency but also enhances the overall security posture of organizations operating in highly regulated environments.




    The proliferation of advanced persistent threats (APTs), social engineering attacks, and disinformation campaigns has further underscored the importance of OSINT triage automation in both the public and private sectors. Governments and law enforcement agencies are leveraging automated OSINT platforms to monitor social media, dark web forums, and other open sources for early indicators of criminal activity, terrorism, or geopolitical risks. Similarly, enterprises across industries are utilizing these solutions to detect brand impersonation, insider threats, and reputational risks. The convergence of OSINT automation with threat intelligence platforms, security information and event management (SIEM) systems, and incident response workflows is enabling organizations to build a more proactive and resilient security ecosystem. As the digital landscape continues to evolve, the demand for scalable, automated, and intelligent OSINT solutions is expected to accelerate, driving sustained market growth through 2033.




    From a regional perspective, North America currently dominates the OSINT Triage Automation market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The strong presence of cybersecurity vendors, high adoption rates of advanced security technologies, and stringent regulatory requirements have positioned North America as the primary hub for OSINT automation innovation. Europe is experiencing significant growth due to increasing investments in cybersecurity infrastructure and heightened awareness of open-source intelligence applications among government and enterprise users. Meanwhile, the Asia Pacific region is witnessing rapid adoption of OSINT automation, fueled by expanding digital economies, rising cyber threats, and government-led digital transformation initiatives. Latin America and the Middle East & A

  17. t

    TweetFeed IOC feed

    • tweetfeed.live
    csv, json, rss
    Updated Dec 13, 2021
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    TweetFeed (2021). TweetFeed IOC feed [Dataset]. https://tweetfeed.live/
    Explore at:
    csv, rss, jsonAvailable download formats
    Dataset updated
    Dec 13, 2021
    Dataset authored and provided by
    TweetFeed
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Indicators of Compromise (URLs, domains, IPs, SHA256/MD5 hashes) shared by the infosec community on Twitter/X, aggregated every 15 minutes.

  18. F

    Open Source Intelligence-Markt nach Sicherheit (Human Intelligence, Content...

    • fnfresearch.com
    pdf
    Updated Jun 7, 2026
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    Facts and Factors (2026). Open Source Intelligence-Markt nach Sicherheit (Human Intelligence, Content Intelligence, Link-/Netzwerkanalyse, Datenanalyse, künstliche Intelligenz und Big Data-Sicherheit), nach Technologie (Big Data-Software, Videoanalyse, Textanalyse, Visualisierungstools, Cybersicherheit, Webanalyse und andere), nach Anwendung (Militär und Verteidigung, Privatsektor, öffentlicher Sektor, nationale Sicherheit und andere) und nach Regionen – globale und regionale Branchenperspektive, umfassende Analyse und Prognose 2021 – 2026 [Dataset]. https://www.fnfresearch.com/de/open-source-intelligence-market-by-sources-public-government-143
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 7, 2026
    Dataset authored and provided by
    Facts and Factors
    License

    https://www.fnfresearch.com/privacy-policyhttps://www.fnfresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    [205+ Seiten Bericht] Der globale Open Source Intelligence-Markt wird voraussichtlich im Jahr 28.34 einen Wert von 2026 Milliarden USD erreichen, mit einer Wachstumsrate von 19.9 % CAGR im Zeitraum 2021-2026

  19. f

    Number of vulnerabilities, number of exploited vulnerabilities, the fraction...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Feb 6, 2020
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    Yong Fang; Yongcheng Liu; Cheng Huang; Liang Liu (2020). Number of vulnerabilities, number of exploited vulnerabilities, the fraction of exploited vulnerabilities that appeared in each source. [Dataset]. http://doi.org/10.1371/journal.pone.0228439.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 6, 2020
    Dataset provided by
    PLOS ONE
    Authors
    Yong Fang; Yongcheng Liu; Cheng Huang; Liang Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Number of vulnerabilities, number of exploited vulnerabilities, the fraction of exploited vulnerabilities that appeared in each source.

  20. Performance metrics for prediction of different vendors by year using...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Yong Fang; Yongcheng Liu; Cheng Huang; Liang Liu (2023). Performance metrics for prediction of different vendors by year using sliding window. [Dataset]. http://doi.org/10.1371/journal.pone.0228439.t010
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yong Fang; Yongcheng Liu; Cheng Huang; Liang Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Performance metrics for prediction of different vendors by year using sliding window.

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Aniket kumar (2025). Osint_public_profiles_dataset [Dataset]. https://www.kaggle.com/datasets/alliot032/osint-public-profiles-dataset
Organization logo

Osint_public_profiles_dataset

Osint_public_profiles

Explore at:
zip(182999 bytes)Available download formats
Dataset updated
May 27, 2025
Authors
Aniket kumar
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

🕵️‍♂️ Advanced OSINT Public Profiles Dataset (Synthetic) 📄 Overview This dataset contains 2,000 synthetic public profile records generated for open-source intelligence (OSINT) research, cybersecurity education, and red team simulation. It mimics realistic personal, professional, and breach-related information typically found through OSINT tools and techniques.

It is 100% synthetic — no real individuals or private data were used.

Column NameDescription
Name Full name of the synthetic individual
Username Commonly used username
Email Generated email address
Phone Randomly formatted phone number
Twitter Simulated Twitter profile link
LinkedIn Simulated LinkedIn profile link
Domain Domain name associated with the person
Location City and country
Job_Title Profession or role
Company Employer or organization
IP_Address Public IPv4 address
MAC_Address Synthetic MAC address
Breached Indicates whether their data was breached
Breach_Source Known breach source (LinkedIn, Dropbox, etc.)
Breach_Year Year of breach (if applicable)
Password_StrengthSimulated password strength: Weak, Moderate, or Strong
Public_PastebinWhether their data appeared on a pastebin (Yes/No)

🎯 Use Cases You can use this dataset for:

✅ OSINT Reconnaissance Practice

✅ Identity Risk Scoring Systems

✅ Cybersecurity Education & Red Team Simulations

✅ NLP & Fuzzy Matching for Entity Resolution

✅ Network Graphs of Breached Users

✅ Training AI models for fake profile detection

✅ Demonstrating recon tools and dashboards 📌 License This dataset is licensed under the Creative Commons CC0 1.0 — Public Domain Dedication.

Feel free to use it in your academic projects, machine learning models, blogs, or demos — with or without attribution.

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