AI systems introduce new security blind spots, forcing organizations to rethink testing entirely.

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 ...

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 ...

‘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 ...

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, ...

Generative artificial intelligence (GenAI) has emerged as a significant change-maker, enabling teams to innovate faster, automate existing workflows, and rethink the way we go to work. Today, more ...

The conflict between high-security protocols and the fast-paced nature of life-saving medical work can introduce an array of vulnerabilities. But red teaming exercises can help manage these risks, ...

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 ...