The shift to AI-native design drastically expands the enterprise API attack surface. Large Language Models (LLMs) and autonomous agents operate via complex, API-chained workflows. This reality of AI ...
LLM-powered applications are rapidly expanding the enterprise attack surface — but not in entirely new ways. At their core, these systems still rely on APIs. What’s changed is how those APIs are used.
SecureIQLab today announced that its SOCx AI-Driven Cloud Security Validation Platform has integrated AI Security CyberRisk ...
AI has moved from experimentation to core business systems. In first quarter of 2026, we saw companies push AI into ...
Coinspect has been part of the blockchain security landscape since 2014, a time when few organizations were examining ...
Postman, the world's leading API platform used by more than 40 million developers and 500,000 organizations, today announced ...
We've moved past the era of "ChatGPT wrappers" (thank God), but the industry still treats autonomous agents like they're just ...
Autonomous AI coding agents are shipping code faster than security teams can review it. Here’s why the governance gap is ...
Powered by a proprietary co-evolutionary training architecture, self-evolving AI agents autonomously discover and exploit vulnerabilities across APIs, mobile apps, and web applications -- teaching ...
AI agents may be fast and unpredictable in their reasoning, but their actions are concrete—and that's a problem security ...
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