identity security

Arkose Agent Trust Manager: Classifying Agentic Traffic

Arkose Agent Trust Manager: Classifying Agentic Traffic

AI, Application Development, Cyber Security, Security /

Arkose Labs has launched Agent Trust Manager, a classification and enforcement layer for agentic AI traffic built on its Arkose Titan platform. The product distinguishes between humans, authorized agents, and adversaries, applying proportional enforcement to each. As enterprise AI deployments scale, managing outbound and inbound agentic traffic becomes a revenue integrity issue, not just a security one.

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Descope Agentic Identity Hub 2.5: Securing AI Agents at Scale

Descope Agentic Identity Hub 2.5: Securing AI Agents at Scale

Agentic AI, Application Development, Enterprise IT Strategy, Security /

Descope has released Agentic Identity Hub 2.5, adding granular access policies, autonomous agent support, and human-in-the-loop auth flows for MCP servers and AI agents. The update addresses a growing security gap as enterprises deploy agentic AI using identity patterns designed for humans. ECI Research analyst coverage examines the business risk, developer implications, and competitive landscape.

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Specops AD Security Assessment: Exposing Attack Paths Before Attackers Do

Specops AD Security Assessment: Exposing Attack Paths Before Attackers Do

Application Development, Compliance, Cyber Security /

Specops has launched a fixed-price, fixed-scope Active Directory Security Assessment delivered by Outpost24’s CREST-Accredited Offensive Security Team. The engagement maps privilege escalation and lateral movement paths from a low-privileged user to Domain Admin. ECI Research analyst coverage examines the business case, technical depth, and competitive positioning of the offering.

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AI Agent Identity Security: The $1M Risk Enterprises Can't Ignore

AI Agent Identity Security: The $1M Risk Enterprises Can’t Ignore

AI, Application Development, Authentication, Compliance, Enterprise IT Strategy /

A new Akeyless global survey of 400 IT and security leaders finds that two-thirds of organizations suspect AI agents have already accessed data beyond their intended scope. With a 14-hour average detection window and more than $1 million in annual incident costs, the report exposes a structural gap between how AI agents are provisioned and how enterprises govern them. ECI Research examines what this means for security strategy, developer practices, and the emerging AI agent identity market.

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