The Norway Cyber (Liability) Insurance market, while exhibiting a modest Compound Annual Growth Rate (CAGR) of 1.00%, is poised for steady expansion from 2025 to 2033. This growth reflects the increasing digitalization of Norwegian businesses across sectors like banking, IT, healthcare, and retail, coupled with a rising awareness of cyber risks and the resultant regulatory pressures to secure robust cyber insurance coverage. The market is segmented by product type (packaged and standalone policies) and application type (spanning the aforementioned sectors, plus others). While the precise market size in 2025 is unavailable, considering the CAGR and a reasonable estimation based on comparable European markets, a plausible figure could be in the range of 20-30 million USD. Key market drivers include escalating cyber threats like ransomware attacks and data breaches, along with evolving data privacy regulations like GDPR, which impose significant liabilities on organizations in case of data compromises. Trends indicate an increasing demand for comprehensive cyber insurance solutions that incorporate threat prevention and incident response services, in addition to liability coverage. However, restraints include potential pricing challenges and limited understanding among smaller businesses regarding the nuances and necessity of cyber insurance. Major players like Aon Plc, AIG, AXA XL, Allianz Group, and Chubb Limited are actively shaping the market, offering a diverse portfolio of cyber insurance products catered to the needs of various business sizes and sectors. The competitive landscape is characterized by both established global insurers and specialized cyber insurance providers. This suggests a potential for further market consolidation and innovation as insurers aim to meet growing demand with tailored solutions and advanced risk assessment methodologies. The relatively low CAGR underscores a potential for disruption from innovative Insurtech companies that offer agile, technology-driven solutions. Despite the modest growth rate, the Norwegian market presents opportunities for specialized service offerings that proactively address the unique cyber risks faced by different industry segments. Further growth could be fueled by increased government initiatives promoting cyber security awareness and the adoption of robust digital infrastructure. The consistent market expansion, driven by digital transformation and heightened risk awareness, points to a promising outlook for the cyber liability insurance sector in Norway over the forecast period. Recent developments include: December 2020, Aon plc, a leading global professional services firm providing a broad range of risk, retirement, and health solutions, today announced the launch of a digital insurance solution for small and middle-market businesses. With this new offering, businesses across a wide spectrum of industries can go through the full end-to-end process of buying and managing cyber and professional liability insurance online. They also have access to an insurance specialist to walk through the application process and coverage details., March 2019, Marsh, a global leader in insurance broking and innovative risk management solutions, today announced the launch of Cyber Catalyst, a new way to assist organizations in making more informed choices about cybersecurity products and services to manage cyber risk. The Cyber Catalyst program brings together leading cyber insurers to identify and evaluate solutions they consider effective in reducing cyber risk, giving organizations greater clarity in an increasingly complex cybersecurity marketplace.. Notable trends are: The General Data Protection Regulation (GDPR).

Dataset Card for the M-ALERT Benchmark

  This is the multilingual extension of ALERT -- the safety benchmark for LLMs. The translations are obtained with the MT-OPUS-en-X models, google translate, and the tower-instruct-mistral-v0.2 model. For each language and sample, we chose the best translation based on COMET-XXL and MetricX-XXL.






  Data

It consists of around 15K standard red-teaming prompts per language, each classified by category from our safety risk… See the full description on the dataset page: https://huggingface.co/datasets/felfri/M-ALERT.

GigaSpeech is an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and 40,000 hours of total audio suitable for semi-supervised and unsupervised training. Around 40,000 hours of transcribed audio is first collected from audiobooks, podcasts and YouTube, covering both read and spontaneous speaking styles, and a variety of topics, such as arts, science, sports, etc. A new forced alignment and segmentation pipeline is proposed to create sentence segments suitable for speech recognition training, and to filter out segments with low-quality transcription. For system training, GigaSpeech provides five subsets of different sizes, 10h, 250h, 1000h, 2500h, and 10000h. For our 10,000-hour XL training subset, we cap the word error rate at 4% during the filtering/validation stage, and for all our other smaller training subsets, we cap it at 0%. The DEV and TEST evaluation sets, on the other hand, are re-processed by professional human transcribers to ensure high transcription quality.