
New AI security tool lays out key exposures
Risk Rubric gives assessments for LLM transparency, security and more. But it's only one tool in your AI security toolbox.

Risk Rubric gives assessments for LLM transparency, security and more. But it's only one tool in your AI security toolbox.

The Continuous Threat Exposure Management model represents an evolution from CVSS. Here’s what you need to know.

Vibe coding is not going away — and the threat is real. But are developer tools like VibeSec that shift controls left up to the job?

AI is producing code up to four times faster — but with 10 times more AppSec lapses. Here’s what you need to know.

While 2FA and trusted publishing help, you need visibility into how packages behave — not just who is publishing.

AI container workloads are growing — but security is not native. That makes additional controls essential.

More than half of Model Context Protocol servers were found to rely on static, long-lived credentials. With AI agents on the rise, that’s a problem.

Application security posture management is only as good as the technology it depends on. Here’s why modern software supply chain security tooling is key.

Vibe-coded apps that make it to production can be a minefield for security teams. Here are key takeaways for your AppSec team.

Built-in security can play a role — and fits with the Secure by Design concept — but robust security controls remain essential.

Attack surface management (ASM) isn’t just another buzzword. It represents a fundamental shift in security strategy with risk on the rise.

A malicious Model Context Protocol package was found in the wild last week. Here are lessons from the compromise of the AI interface tool.

Here's what you need to know about the discovery of the first self-replicating npm worm, which compromised packages with cloud token-stealing malware.

While security defenders welcomed the new vulnerability-validation tool, others stress it can be just as useful for would-be attackers.

AI coding and other modern development practices mean flawed code will continue to ship. Here are key recommendations for managing software risk.
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