Cybersecurity awareness month is here, and there’s no better time to talk about how state and local governments can improve their cybersecurity practices. A key component of that improvement is ...

OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams' advanced capabilities in two areas: multi-step reinforcement and external red ...

‘We can no longer talk about high-level principles,’ says Microsoft’s Ram Shankar Siva Kumar. ‘Show me tools. Show me frameworks.’ Generative artificial intelligence systems carry threats new and old ...

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 ...

As concerns mount about AI’s risk to society, a human-first approach has emerged as an important way to keep AIs in check. That approach, called red-teaming, relies on teams of people to poke and prod ...

Getting started with a generative AI red team or adapting an existing one to the new technology is a complex process that OWASP helps unpack with its latest guide. Red teaming is a time-proven ...

As enterprises rush to deploy copilots and autonomous agents, security teams are discovering that testing AI systems requires skills, tools, and assumptions that traditional red teaming was never ...

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 ...

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, ...

Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks that ...