API security

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

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

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

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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Descope Agentic Identity Hub: AI Agent IAM Arrives

Descope Agentic Identity Hub: AI Agent IAM Arrives

Descope has launched the Agentic Identity Hub, a dedicated identity provider for AI agents and MCP servers. The product addresses a fundamental gap in traditional IAM: AI agents need ephemeral credentials, runtime-scoped permissions, and delegation-aware audit trails that existing platforms were never designed to provide. ECI Research finds AI code governance is the #1 enterprise security investment priority for 2026, making this launch well-timed.

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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

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

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

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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Wallarm AI Control Platform: Runtime AI Governance for Enterprise

Wallarm AI Control Platform: Runtime AI Governance for Enterprise

Wallarm has launched the AI Control Platform, bringing runtime discovery, behavioral visibility, and inline policy enforcement to enterprise AI workloads. Built in partnership with AWS and available on AWS Marketplace, the platform targets the widening gap between AI deployment speed and AI governance maturity. With EU AI Act enforcement arriving in August 2026, the compliance case for continuous AI governance infrastructure is becoming unavoidable.

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