Securing AI-Speed Development: Webinar Explores New Operating Model for Security Teams
AI is enabling development teams to ship 10 to 50 times more code, but security teams still operate at human speed, creating…
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…
MDASH is Microsoft's platform that combines multiple AI models for vulnerability detection and remediation. It now includes MAI-Cyber-1-Flash and GPT-5.4, achieving 95.95%…
The cybersecurity industry initially focused on the volume of new CVEs introduced by Anthropic's Mythos AI model, but the real threat lies…
Qualys offers cloud-based vulnerability management, policy compliance, and web application scanning solutions, used in the article as an example of a vulnerability…
Pentera has introduced an MCP (Model Context Protocol) Server that integrates its security validation platform directly into AI-driven security workflows. The move…