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Artificial Intelligence (AI)/Machine Learning (ML)

May 14, 2025

MCP is a powerful new AI coding technology: Understand the risks

Model Context Protocol makes agentic AI development easier by connecting data sources — but the risks are very real. Here's what you need to know.

May 8, 2025

Indirect prompt injection attacks target common LLM data sources

Malicious instructions buried in sources such as documents can poison ML models. Here's how it works — and how to protect your AI systems.

April 17, 2025

NIST's adversarial ML guidance: 6 action items for your security team

ML attack mitigation is a moving target. Here’s what to focus on now — and why traditional tooling like SAST and SCA is not up to the job.

January 29, 2025

OWASP tackles AI security with new NHI Top 10: What you need to know

Identity management is key for security, but AI is bringing non-humans into the mix. The new OWASP list calls attention to this. Here are top takeaways.

December 10, 2024

AI-based fuzzing targets open-source LLM vulnerabilities

Google researchers have identified 26 vulnerabilities with OSS-Fuzz, but experts warn that AI fuzzing is not a panacea for AI/ML security.

November 26, 2024

OWASP Top 10 for LLM adds risks: Get on target to secure your AI models

OWASP has updated its Top 10 list with key risk areas, and recently added an AppSec tooling guide for AI. Here's what they cover — and what they don't.

October 15, 2024

AI and cybersecurity: Modernize your SecOps to tackle today's threats

Here are highlights from Caleb Sima's recent BSides and RVAsec talks — and expert insights on how AI can help deal with today's threats head-on.

May 14, 2024

What you missed at RSA Conference 2024: Key trends and takeaways

Missed RSAC 2024? Here are the highlights from last week’s mother-of-all cybersecurity shows that practitioners and leaders should know.

February 14, 2024

5 notable supply chain compromises

2023 was a big year for software security. Here are the key lessons from last year's major attacks to learn from.

February 8, 2024

OWASP Top 10 for LLM 2.0: 3 key AppSec focus areas emerge

A survey of practitioners drove key areas of focus for the vulnerability list for AI models: data privacy, safety and bias, and mapping of vulnerabilities.

December 13, 2023

Secure AI development guidance: What software teams need to know

U.K. and U.S. cyber-watchdogs say to start with Secure by Design — but don't stop there. Here are key takeaways from their new guidelines.

December 6, 2023

6 ways AI helps SecOps punch back

While AI is mostly seen as opening a new front in the threat landscape, it will also be tapped to fight back with advanced threat hunting and more.

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Artificial Intelligence (AI)/Machine Learning (ML)

MCP is a powerful new AI coding technology: Understand the risks

Indirect prompt injection attacks target common LLM data sources

NIST's adversarial ML guidance: 6 action items for your security team

OWASP tackles AI security with new NHI Top 10: What you need to know

AI-based fuzzing targets open-source LLM vulnerabilities

OWASP Top 10 for LLM adds risks: Get on target to secure your AI models

AI and cybersecurity: Modernize your SecOps to tackle today's threats

What you missed at RSA Conference 2024: Key trends and takeaways

5 notable supply chain compromises

OWASP Top 10 for LLM 2.0: 3 key AppSec focus areas emerge

Secure AI development guidance: What software teams need to know

6 ways AI helps SecOps punch back

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