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 ...

Red teaming is a powerful way to uncover critical security gaps by simulating real-world adversary behaviors. However, in practice, traditional red team engagements are hard to scale. Usually relying ...

In day-to-day security operations, management is constantly juggling two very different forces. There are the structured ...

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 ...

A new white paper out today from Microsoft Corp.’s AI red team details findings around the safety and security challenges posed by generative artificial intelligence systems and stategices to address ...

Every frontier model breaks under sustained attack. Red teaming reveals the gap between offensive capability and defensive readiness has never been wider.

Well-trained security teams are crucial for every organization in protecting against costly attacks that can drain time and money and damage their reputation. However, building the right team requires ...

Learning that your systems aren’t as secured as expected can be challenging for CISOs and their teams. Here are a few tips that will help change that experience. Red team is the de facto standard in ...

Discover the top seven penetration testing tools essential for enterprises in 2025 to enhance security, reduce risks, and ensure compliance in an evolving cyber landscape. Learn about their core ...

A tool for red-team operations called EDRSilencer has been observed in malicious incidents attempting to identify security tools and mute their alerts to management consoles. Researchers at ...

Organisations today are increasingly exposed to cyber risks originating from unchecked network scanning and unpatched vulnerabilities. At the same time, the rise of malicious large language models ...