You have to go through emulation, attacking, and really testing every single controls that you're putting into place," said Bri Frost.

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...

The security of operational technology (OT) in critical infrastructure has been a recurring theme for years, but this week the US National Security Agency (NSA) and its global partners added a new ...

On November 2, 1988, graduate student Robert Morris released a self-replicating program into the early Internet. Within 24 hours, the Morris worm had infected roughly 10 percent of all connected ...

Cyber security is under intense scrutiny these days, especially as more adversarial AI-based attacks such as Scattered Spider can use a variety of living-off-the-land methods to spread and speed their ...

AI momentum is building, and it’s transforming every industry. This is causing organizations to rethink their security strategies to account for the new challenges AI brings. While the topic of AI is ...

Penetration testing is undergoing a structural shift. For years, automation meant running scanners faster or scripting repetitive tasks. Today, a new class of tools is emerging, agentic AI systems ...

Effective network management is critical for ensuring reliable system performance and safeguarding the flow of information that powers nearly every business operation. AI has quickly become the ...

F5's Guardrails blocks prompts that attempt jailbreaks or injection attacks, and its AI Red Team automates vulnerability discovery in AI systems. Network and security teams managing enterprise ...