Blog | ReversingLabs | Artificial Intelligence (AI)/Machine Learning (ML)

Artificial Intelligence (AI)/Machine Learning (ML)

July 11, 2025

Fully autonomous development is coming: Is your AppSec ready?

Replacing software engineers with AI won't be happening soon — but AI coding is already changing the software risk landscape. Is your company prepared?

July 2, 2025

AI security tools and hype: Report breaks down key considerations

The Latio AI Security Report highlights how marketing hype is creating confusion — and hurting security outcomes. Here are the top takeaways.

June 10, 2025

Chat Playground project lets security teams toy with gen AI

The new tool provides a low-cost approach to testing the security of generative AI chat experiences — though it lacks out-of-band AI controls.

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.