Simulating cyberattacks in order to reveal the vulnerabilities in a network, business application or AI system. Performed by ethical hackers, red teaming not only looks for network vulnerabilities, ...
AI red teaming — the practice of simulating attacks to uncover vulnerabilities in AI systems — is emerging as a vital security strategy. Traditional red teaming focuses on simulating adversarial ...
The insurance industry’s use of artificial intelligence faces increased scrutiny from insurance regulators. Red teaming can be leveraged to address some of the risks associated with an insurer’s use ...
AI red teaming has emerged as a critical security measure for AI-powered applications. It involves adopting adversarial methods to proactively identify flaws and vulnerabilities such as harmful or ...
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Why Red Teaming belongs on the C-suite agenda
Cyber threats have evolved far beyond the domain of the IT department. With the introduction of the Cyber Security and Resilience Bill to the UK parliament, cyber security is now a national priority, ...
Editor's note: Louis will lead an editorial roundtable on this topic at VB Transform this month. Register today. AI models are under siege. With 77% of enterprises already hit by adversarial model ...
Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. Picking the right ...
The Cloud Security Alliance (CSA) has introduced a guide for red teaming Agentic AI systems, targeting the security and testing challenges posed by increasingly autonomous artificial intelligence. The ...
In our June 2024 white paper, Legal red teaming: A systematic approach to assessing legal risk of generative AI models, we presented legal red teaming, a methodology aimed at helping organizations ...
The insurance industry is facing increased scrutiny from insurance regulators related to its use of artificial intelligence (AI). Red teaming can be leveraged to address some of the risks associated ...
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