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Cequence Security Launches First-of-Its-Kind Agentic AI Security Layer

Cequence Security

Enhancements to Unified API Protection platform tackle AI data harvesting, shadow AI, and bot obfuscation threats

Cequence Security has unveiled a groundbreaking extension to its Unified API Protection (UAP) platform, delivering what it calls the industry’s first dedicated security layer for agentic AI. With this enhancement, enterprises can now govern, secure, and monitor AI agent interactions across both internal and third-party applications—ensuring data protection, regulatory compliance, and resilience against business logic abuse.

“Agentic AI behaves like a bidirectional API. That’s our wheelhouse.” — Ameya Talwalkar, CEO, Cequence Security

Amid the explosive growth of generative and agentic AI systems, Cequence’s platform now addresses critical blind spots, including unauthorized AI data harvestingshadow AI discovery, and sensitive data exfiltration from tools like Microsoft Copilot, Salesforce Agentforce, and ChatGPT.

“We’ve taken immediate action to extend our market-leading API security and bot management capabilities,” said Ameya Talwalkar, CEO of Cequence. “Agentic AI introduces a new layer of complexity, where every agent behaves like a bidirectional API. That’s our wheelhouse. Our platform helps organizations embrace innovation at scale without sacrificing governance, compliance, or control.”

Key platform upgrades include:

  • AI Access Control: Organizations can selectively authorize or block AI agents’ access to proprietary data.
  • Real-time Threat Detection: AI traffic anomalies are flagged instantly—even when bots disguise themselves behind unidentified or obfuscated headers.
  • Shadow AI Discovery: Automatic classification of agentic AI APIs provides full visibility into unsanctioned or unmanaged tools.
  • Compliance-Ready: Built-in support for OpenAPI schema generation and seamless integration with DevOps workflows ensure policy-driven adoption.

Cequence’s internal telemetry shows that nearly 88% of AI-related bot traffic stems from large language model infrastructures, most of it masked behind generic user agents—raising significant concerns around unauthorized data usage and regulatory violations.

Gartner predicts that by 2028, 33% of enterprise software will include agentic AI, up from less than 1% in 2024, enabling 15% of routine business decisions to be made autonomously.*

Cequence’s enhanced UAP platform will be generally available by June 2025, with demos scheduled at this year’s RSA Conference.

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