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 ...

Developing responsible AI isn’t a straightforward proposition. On one side, organizations are striving to stay at the forefront of technological advancement. On the other hand, they must ensure strict ...

‘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 ...

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 ...

The principles of "AI Red Teaming" go beyond searching for vulnerabilities to include identifying potential system breakdowns, e.g., the model being manipulated to produce unintended content. The ...

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 ...

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, ...

Organizations use AI technologies in many business contexts to improve internal work operations. AI tools can automate repetitive tasks, generate content, analyze massive amounts of data, personalize ...

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 ...