Cequence Security

Agentic AI Governance Gap: 94% Confident, 33% Compliant

Agentic AI Governance Gap: 94% Confident, 33% Compliant

AI, Application Development, Cyber Security, Enterprise Software, Machine Learning /

Cequence Security and EMA surveyed 202 enterprise IT and security leaders and found that 94% are confident their AI agents aren’t over-provisioned, yet only 33% enforce least-privilege access. Sixty-five percent have already experienced an out-of-scope agent action, with 29% reporting measurable business impact. The research defines a runtime authorization gap that point-in-time compliance frameworks aren’t built to close.

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Cequence Brings Agentic AI Governance Across MCP, API, and LLM

Cequence Brings Agentic AI Governance Across MCP, API, and LLM

Agentic AI, AI Governance, Application Development, Application Security, DevSecOps, Security /

Cequence Security has released AI Discovery, API Registry, LLM Registry, and Skill Registry for AI Gateway, alongside upgraded Agent Personas that bind an AI agent’s tools, model, and APIs to a single policy-enforced job description. The approach, which Cequence calls Agentic Zero Trust, is the first to govern MCP, LLM, and API surfaces under a unified agent-bound identity. This research note examines the architectural logic, the competitive stakes, and what it means for enterprise security and development teams.

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Cequence Platform 9.0: AI-Native API Security for the Agentic Era

Cequence Platform 9.0: AI-Native API Security for the Agentic Era

Agentic AI, Application Development, Application Security, DevSecOps /

Cequence Security has launched Platform 9.0, an AI-native API security release featuring an open MCP server, a built-in AI Assistant, and 250-plus pre-built compliance rules mapped to 25 global frameworks. The release positions Cequence as a composable security capability for agentic enterprise workflows, arriving as AI code governance tops enterprise security investment priorities. ECI Research data shows the compliance and agentic integration gaps this release directly targets.

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Cequence Intent Graph: Bot Defense Built for Agentic AI

Cequence Intent Graph: Bot Defense Built for Agentic AI

AI, Application Development, Automation, Compliance, Security /

Cequence Security has launched Intent Graph and Biometric Check, two capabilities designed to replace client-side bot detection with behavioral modeling and hardware-bound cryptographic verification. The move targets the growing gap between traditional bot defense architectures and the realities of MCP-based agentic commerce. ECI Research analysis examines what this means for security teams and developers building agent-integrated workflows.

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AI Agent Security: Why Behavior Beats Authentication | ECI Research

AI Agent Security: Why Behavior Beats Authentication | ECI Research

Agentic AI, AI, Application Development, Security /

Cequence Security is claiming the reference architecture position in AI agent security, pointing to independent convergence from Anthropic, Dr. Chase Cunningham, and the Center for Internet Security around runtime behavioral control over agents. ECI Research breaks down why authentication-first approaches are structurally inadequate for agentic AI, and what ITDMs and developers should do about it now. The MCP governance layer is emerging as the critical battleground for AI agent security investment through 2026.

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