Use Case: Autonomous Agent Oversight
Classify, Track & Decommission Autonomous AI
AI agents run unattended in CI pipelines, desktop tools, and background services, often with standing access nobody reviews. CyberHQ.ai classifies every session as human, human-supervised agentic, or fully autonomous. Suspend or decommission an agent when one needs to stop.
Classify human, assisted, and autonomous AI
Standing-privilege age tracking
Process lineage on every endpoint AI call
3
actor classification states: human interactive, human-supervised agentic, or fully autonomous
40 +
AI providers monitored on a continuously expanding watchlist
< 30 mins
to full deployment, no proxy or SSL inspection required
< 48 hours
to first meaningful AI finding
The Problem
Autonomous AI without oversight is a liability
A team sets up an AI agent on a build server to pull from internal systems and email to automate reporting. It reads, joins, and forwards data continuously with no operator watching each run. A single task instantly becomes an unmonitored, standing process.
CI pipelines, reporting bots, and MCP servers all operate this way: standing access at machine speed. Because legacy security tooling cannot distinguish a human prompt from an autonomous agent, agents look identical to employees until something breaks.
Regulated data moves across borders with no record of which agent moved it or why. When Legal, Risk, or the board asks which AI agents can act without supervision, an assumption is not evidence.
AI Security Command
What CyberHQ.ai Does Differently
Classify every session by actor, not just by tool. Every AI session is tagged as a human interactive user, a human working with agentic assistance, or a fully autonomous agent.
Agent Roster and Lifecycle. Maintains a roster of every discovered agent with capability maps, standing-privilege ages, and a delegation-chain activity trail, ready to suspend or decommission.
MCP Server Visibility. Surfaces MCP server instances in your software inventory and attack-surface findings, so a wired-in agent shows up next to every other asset instead of hiding behind it.
AI Security Command
How To Achieve Autonomous Agent Oversight
Three capabilities that turn a guess about AI usage into an evidence-backed inventory.
Actor Classification
Actor Classification
Classifies every session as human interactive, human-supervised agentic, or fully autonomous agentic, on every event CyberHQ.ai logs.
Agent Roster and Lifecycle
Agent Roster and Lifecycle
Maintains a roster of every discovered agent with capability maps and standing-privilege ages, ready to suspend or decommission.
MCP Server Visibility
MCP Server Visibility
Surfaces MCP server instances in your software and attack-surface inventory, so a wired-in agent shows up next to every other asset instead of hiding behind it.
AI Usage Insights
AI Usage Insights Within 48hrs Of Deployment
Start a free 30-day trial and see results on your insights dashboard within 48 hours of deploying your sensor.
What AI tools are moving through your organization
Who is using AI and how they are using it
How agentic AI is acting and what it's accessing
Which AI tools are putting your data at risk and why
Start your 30-day free trial

CyberHQ.ai Does Not Replace Your Tools
You Cannot Supervise What You Cannot Classify.
CyberHQ.ai is not a replacement for your CASB, DLP, or SIEM. It sits alongside them and classifies every AI session by actor, human interactive, human-supervised agentic, or fully autonomous agentic, the context those tools were never built to generate.
CyberHQ.ai can suspend, reactivate, or decommission an agent behind a confirmation step, with suspension able to enforce a device-wide provider block once enforcement is armed.
CyberHQ.ai maintains a durable roster of every discovered agent, with capability maps and standing-privilege ages attached.
CyberHQ.ai traces each endpoint AI call back through its process ancestry, so an agentic or automated session is attributed to the program that launched it.
Related Use Cases
Frequently Asked Questions
What is an autonomous AI agent?
What is an autonomous AI agent?
An autonomous agent is software that takes a goal, decides its own steps, and acts across your tools without waiting for a human to approve each move. On the endpoint, CyberHQ.ai surfaces agentic use of native tools such as Claude Code and Cursor, so these agents show up alongside browser activity. The risk to govern is not the agent itself but unmonitored authority, so every action should be logged, bounded, and defensible to a regulator or board.
How does CyberHQ.ai help us answer an auditor's question about agent access?
How does CyberHQ.ai help us answer an auditor's question about agent access?
Every agent's capability map and standing-privilege age comes from observed activity, not a note someone wrote after the fact, so "which agent had access to this data" has an answer with evidence behind it.
What is a standing-privilege age?
What is a standing-privilege age?
It is how long an agent has held a capability, shown next to when it was last observed using it (or that it never has), so a grant made for one project and never used again stands out. On the Prove tier, CyberHQ.ai maintains a durable roster of every discovered agent with capability maps and standing-privilege ages attached, so an investigation into an agent's access does not stop at "an agent did it."
Does oversight require us to shut our agents down first?
Does oversight require us to shut our agents down first?
No. CyberHQ.ai is built to make autonomous AI agents auditable, accountable, and controllable without requiring them to be switched off. Discovery and classification run continuously in the background; suspending or decommissioning an agent is a decision you make, not a precondition.
Can we actually stop an agent, or just see it?
Can we actually stop an agent, or just see it?
Suspending an agent flips its status in the roster from active to suspended, a reversible, logged action you take directly. It can also widen network-level blocking (DNS and firewall) to block the agent's AI provider across the whole device, once a tenant explicitly arms enforcement; it does not kill the agent's running process. New-agent-detected and agent-over-privilege signals surface as alerts for an analyst to triage, not an automatic stop. Reactivating, decommissioning, and archiving are the same roster action, each behind a confirmation step.
What is an AI Security Command Platform?
What is an AI Security Command Platform?
An AI Security Command Platform gives a business a continuous, evidence-backed picture of how AI is actually being used across the organization, from first shadow AI discovery through data protection, agent oversight, and audit-ready compliance. CyberHQ.ai is built to sit alongside your existing security stack, not replace it, and to answer three questions on an ongoing basis: how is AI being used right now, what does that usage expose you to, and can you prove you have control.
CyberHQ.ai
See The Agents Acting in Your Environment
See CyberHQ.ai classify the agents already moving through your organization. See results in the first 48 hours.
No Commitment Required.