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 ...

Penetration tests of AI systems expose significantly higher severe-flaw density when compared to legacy apps. New attack ...

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 ...

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.

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, ...

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 ...

Large language models (LLMs) are increasingly used for cyber defense applications, although concerns about their reliability and accuracy remain a significant limitation in critical use cases. A team ...

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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 ...

Imagine this scenario. You’ve launched a shiny, new AI assistant to help serve your customers. A user goes to your website and makes some seemingly innocent requests to the assistant, which cheerfully ...