Cyber: Ai Agents: The Next Wave Identity Dark Matter - Powerful,...
The Model Context Protocol (MCP) is quickly becoming a practical way to push LLMs from “chat” into real work. By providing structured access to applications, APIs, and data, MCP enables prompt-driven AI agents that can retrieve information, take action, and automate end-to-end business workflows across the enterprise. This is already showing up in production through horizontal assistants and custom vertical agents. like Microsoft Copilot, ServiceNow, Zendesk bots, and Salesforce Agentforce, with custom and vertical agents moving fast behind them. This echoes the recent Gartner “Market Guide for Guardian Agents” report, where analysts note that the rapid enterprise adoption of these AI agents is significantly outpacing the maturity of the governance and policy controls required to manage them.
We believe the primary disconnect is that these AI “colleagues” don’t look like humans.
They’re often invisible to traditional IAM, and that’s how they become identity dark matter: real identity risk outside the governance fabric. And agentic systems don’t just use access, they hunt for the path of least resistance. They’re optimized to finish the job with minimal friction: fewer approvals, fewer prompts, fewer blockers. In identity terms, that means they’ll gravitate toward whatever already works, in-app-local accounts, stale service identities, long-lived tokens, API keys, bypass auth paths, and if it works, it gets reused.
MCP adoption isn’t a question of if; it’s a question of how fast and wisely. It’s already here, and it’s only accelerating. Complicating this further is the reality of hybrid environments. Based on the Gartner research, it seems that organizations face significant hurdles in managing these non-human identities because native platform controls and vendor safeguards generally do not extend beyond their own cloud or platform borders. Without an independent oversight mechanism, cross-cloud agent interactions remain entirely ungoverned. The real question is whether your AI agents become trusted teammates or unmanaged identity dark matter?
As autonomous AI agents that can plan and execute multi-step tasks with minimal human input, Agent AI is a powerful assistant but also a major cyber risk. Interestingly, leading industry analysts seem to expect that the vast majority of unauthorized agent actions will stem from internal enterprise policy violations, such as misguided AI behavior or information oversharing, rather than malicious external attacks.
Source: The Hacker News
