Cequence AI Gateway Provides Agent Personas, a Governance Layer That Identity Alone Cannot Provide

Cequence Security, a leader in application, API, and Agentic AI protection, announced the general availability of Agent Personas in Cequence AI Gateway—giving enterprises granular, infrastructure-level control over what AI agents are permitted to do. 

According to the company, Agent Personas uses a plain-English job description to define a scoped virtual MCP endpoint for each agent role. For example, a customer service AI agent gets CRM read-only access, not the ability to modify records. A coding agent can read GitHub issues and create Jira tickets but cannot merge pull requests. A CI/CD automation agent gets access to specific pipeline tools and a single notification channel, and nothing else. 

The release also introduces Agent Access Keys, a new composite credential type purpose-built for headless agents running in automated workflows. Each key binds agent identity, user identity, and persona-level privileges into a single attributable credential, giving security teams the forensic clarity to answer exactly who did what, when, and under which permissions, the company said.

Agent Personas capabilities include: 

• Scoped virtual MCP endpoint per agent role: each persona defines access down to the specific API endpoint and permission level, presented as a single endpoint 
• Natural language persona creation: describe in plain language what an agent should do; the gateway selects the right tools automatically 
• Single source of truth: update a persona once and the change applies immediately across every agent using it, with no code changes required 
• Agent Access Keys: a composite credential binding agent identity, user identity, and persona privileges into a single attributable credential for headless agents 
• Per-tool policy enforcement: rate limits, data masking, and approval workflows applied at the individual tool call level 
• Full audit trail: every tool call is attributable to the specific agent, user, persona, and timestamp 
• Model-agnostic: enforced at the infrastructure layer across OpenAI, Google, Anthropic, open-source, and custom models equally  

“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.” 

For more information about this news, visit www.cequence.ai.