For at least two years now I have been complaining about the lack of Artificial Intelligence (AI) Security resources. I complain about many…

Speaking at the #GartnerSEC Summit in London this week, #GartnerIT analyst Mark Horvath said, “CISOs can’t let #AI control their organization. AI requires new forms of trust, #risk and #security management (TRiSM) that conventional controls don’t provide.” Read more here.

Because social engineering attacks will only continue to grow, cybersecurity needs insight from both AI and human threat hunters.

Our approach to identifying malicious open-source packages combines LLMs with proprietary pattern detection and self-enhancement to improve accuracy at scale.

In collaboration with Google, we injected all the standards in OpenCRE into an AI model to create the world's first security-specialized chatbot.

Cybersecurity mishaps are expensive. The average total cost of a data breach in 2023 is $4.45 million, a 15.3% jump from 2020, according to IBM, and just over half of organizations plan to increase cybersecurity spending as a result.

Basically, it's 'not going to work'

Are Local LLMs Useful in Incident Response?, Author: Tom Webb

The average cyber incident now exceeds $4m.

We’re announcing an open call for the OpenAI Red Teaming Network and invite domain experts interested in improving the safety of OpenAI’s models to join our efforts.

AI (Artificial Intelligence) has proven to be a powerful tool in a number of areas, including Security Governance, Risk Management and Regulatory Compliance (GRC).

Sleeping on AI is a bad idea, but so is ignoring the data security risks. Learn how to explore LLMs and generative AI while minimizing risk.

CI Spark leverages LLMs to automatically detect and configure entry points for dynamic white-box testing. Find out how it works!

In a groundbreaking move, AWS unveiled a suite of cutting-edge generative AI features, accompanied by the official launch of the Amazon Bedrock platform

AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK framework. The tool generates tailored incident ...

In this paper, we propose a framework that lays a foundation for LLM platform designers to analyze and improve the security, privacy, and safety of current and future plugin-integrated LLM platforms.