How to Build Security Operations Ready for AI-Powered Attacks
Security teams are facing a new reality where AI-powered attacks accelerate the discovery and exploitation of vulnerabilities, leaving defenders with less time…
Security teams are facing a new reality where AI-powered attacks accelerate the discovery and exploitation of vulnerabilities, leaving defenders with less time…
Frontier AI models, such as Anthropic's Mythos, are transforming vulnerability management by identifying zero-day flaws, chaining complex exploits, and adapting in real…
LDR516 is a SANS course taught by Kevin Garvey that covers how vulnerability programs must evolve to address the challenges posed by…
As AI coding tools accelerate software development, they also introduce open-source dependencies at a pace that can overwhelm security teams, leading to…
AI is enabling development teams to ship 10 to 50 times more code, but security teams still operate at human speed, creating…
This webinar by Chainguard explores how security teams can keep up with AI-driven development, addressing the challenges of vulnerability management at scale,…
The cybersecurity industry has long assumed that offensive capability scales with technical expertise, ranking attackers from nation-state actors to script kiddies. However,…
Amazon Inspector is a vulnerability management service from AWS that identified the typo-crypto package as malicious, leading to the OSV record MAL-2026-3400.
The article discusses how AI models like Anthropic's Mythos are compressing exploit timelines, forcing a reevaluation of vulnerability management strategies. It argues…
Microsoft has introduced its first cybersecurity-specific AI model, MAI-Cyber-1-Flash, within its MDASH (multi-model vulnerability identification and remediation harness) platform. The company reports…