The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate. From embedded copilots and automated support agents to internal ...
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 ...
Learn how to implement post-quantum cryptographic agility for distributed AI inference and MCP servers. Protect AI ...
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 ...
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 ...
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 ...
Anthropic's Claude Opus 4.6 surfaced 500+ high-severity vulnerabilities that survived decades of expert review. Fifteen days ...
SEATTLE--(BUSINESS WIRE)--Protect AI, a leader in AI security, today announced the acquisition of SydeLabs, which specializes in the automated attack simulation (red teaming) of generative AI (GenAI) ...
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 ...
With large language models (LLMs) more widely adopted across industries, securing these powerful AI tools has become a growing concern. At Black Hat Asia 2025 in Singapore this week, a panel of ...
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.
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