The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate.

Application programming interface company Akto Io Inc. today announced the launch of GenAI Security Testing, a new solution aimed at enhancing the security of generative artificial intelligence and ...

About 77% of organizations have adopted or are exploring AI in some capacity, pushing for a more efficient and automated workflow. With the increasing reliance on GenAI models and Language Learning ...

On February 20, 2026, AI company Anthropic released a new code security tool called Claude Code Security. This release ...

Anthropic's Claude Opus 4.6 surfaced 500+ high-severity vulnerabilities that survived decades of expert review. Fifteen days later, they shipped Claude Code Security. Here's what reasoning-based ...

Bonn, Germany, September 13th, 2023 – Code Intelligence today announced CI Spark, an LLM-powered AI-assistant for software security testing. CI Spark automatically identifies attack surfaces and ...

CI Spark automates the generation of fuzz tests and uses LLMs to automatically identify attack surfaces and suggest test code. Security testing firm Code Intelligence has unveiled CI Spark, a new ...

A new technical paper titled “ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification” was published by researchers at University of Florida. “Current ...

Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks that ...

Rochester Institute of Technology experts have created a new tool that tests artificial intelligence (AI) to see how much it really knows about cybersecurity. And the AI will be graded. The tool, ...

In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool. The promise of static application security testing (SAST) has always been the ...

One of the biggest threats with AI today is that it reads untrusted content. That means that attackers can hide malicious instructions inside input for AI, including web pages, PDFs and user uploads.