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Cequence Security Introduces Agent Personas in Cequence AI Gateway

Source Decision Insights Record Published April 28, 2026 Companies 4
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4 companies named across 6 categories, one of 10 articles referencing Cequence Security. Previous coverage: Digital Realty Supermicro Huawei and partners updates - Week of March 9, 2026 (Mar 2026).

Companies mentioned

Best suited for

Seniority
C Level / Executive Team
Job function
Chief Information Security Officer
Persona
Security Operations Leader
Buyer role
Decision Maker / Budget Holder
Decision stage
Which to buy
Adoption curve
Early Majority
Technology maturity
Market Correction
Industry
Information Technology / Software & Services / IT Services / Cloud Services

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Cequence Security released Agent Personas for its Cequence AI Gateway, adding governance controls for AI agents that use the Model Context Protocol. The company framed the update as a way to address a gap between agent authentication and the permissions agents actually exercise through tools.

Cequence said organizations deploy AI agents to connect to enterprise applications via MCP, and it argued that authenticating an agent does not determine what the agent can do. The release described agents as inheriting the privileges of their users and not having judgment about access use. Cequence also cited Gartner commentary and stated that many enterprises have AI-specific safeguards in place.

Agent Personas used plain-English job descriptions to define a scoped virtual MCP endpoint for each agent role, with examples that limit what access each role can perform. The release also introduced Agent Access Keys as a composite credential type that binds agent identity, user identity, and persona-level privileges into a single attributable credential for headless agents in automated workflows. It said the gateway applied per-tool policy enforcement such as rate limits, data masking, and approval workflows, and generated a full audit trail with agent, user, persona, and timestamp attribution.

The general availability includes a set of capabilities, including a scoped virtual MCP endpoint per agent role, natural language persona creation, and a single source of truth for updating personas without code changes. Cequence also described model-agnostic enforcement at the infrastructure layer across OpenAI, Google, Anthropic, open-source, and custom models. It reported an early deployment at a U.S. telecommunications provider that prevented agents from crossing boundaries in tools including GitLab, Confluence, Jira, and Slack using scoped virtual endpoints. “Enterprises have made massive investments in AI, and the race to put agents into production across customer experiences, employee workflows, and business operations is accelerating fast,” said Ameya Talwalkar, CEO and Co-Founder at Cequence. “However, security, governance, and scale requirements can’t be ignored. Cequence closes the gap that has been holding organizations back by automatically limiting agent tool access which lowers costs, enhances performance, and improves security.”

Press release, provided by Globe Newswire on behalf of Cequence Security. Read the original.

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