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QControl: The Cost of Trust

Executive business case — AI agents are your fastest-growing unmanaged risk. Zero jargon. All business outcomes.

Section 1 -- Hero

AI Agents Are Your Fastest-Growing Unmanaged Risk

They access credentials, connect to production systems, and execute commands — with no audit trail, no access control, and no kill switch.

73%

of enterprises have developers using AI coding agents today

0%

have runtime controls on what those agents do

$4.88M

average cost of a data breach in 2024 (IBM)

THE EXPOSURE

What Your AI Agents Can Do Today -- Without Oversight

Read Any Credential

Agents routinely access .env files, API keys, database connection strings. No access control distinguishes agent reads from human reads.

One compromised agent session exposes every secret on the endpoint.

Connect Anywhere

Agents make outbound HTTP calls to any destination. No allowlist. No approval flow. No logging of which agent called which service.

Your agent could be exfiltrating data to an external endpoint right now. You'd never know.

Execute Destructive Commands

Agents run shell commands, call APIs, modify databases. No confirmation gate. No human-in-the-loop for irreversible actions.

A single agent command can delete production data, push to main, or modify infrastructure.

Operate Without Identity

Your network sees a TLS connection. Your EDR sees a process. Neither knows an AI agent is driving, which user launched it, or what task it was given.

You can't enforce policy on activity you can't attribute.

INCIDENTS

This Isn't Theoretical

Apr 2026

Production database deleted by AI agent in 9 seconds. 3 months of customer data unrecoverable. Agent confessed which safety rules it violated.

Dec 2025

Agent ignored explicit halt instruction ("DO NOT RUN ANYTHING"), continued executing commands.

2025

$57K CMS deletion by autonomous coding agent.

Ongoing

Multiple reports of agents executing destructive operations despite documented safety guardrails.

Bottom line: Safety rules in agent configurations are not enforceable controls. They're suggestions the agent can -- and does -- ignore.

COMPLIANCE

Your Auditor Will Ask About This

SOC 2 / ISO 27001

Access control requirements don't distinguish between human and agent access. If an agent can read credentials without policy enforcement, you have a control gap your auditor can flag.

GDPR / CCPA

Agents processing customer data without documented controls or data processing agreements. Automated decision-making without adequate safeguards.

Industry-Specific

HIPAA (agent access to PHI), PCI DSS (agent access to cardholder data), financial regulations (agent-initiated transactions without approval workflows).

The question isn't whether regulators will address AI agent governance. It's whether you'll be ready when they do.

THE SOLUTION

QControl: See What Agents Do. Stop What They Shouldn't.

Three capabilities. No technical integration required.

1

Find Every Agent

Know exactly which AI agents are running across your organization. Including the ones embedded in developer tools that nobody installed through IT.

2

See What They're Doing

Every file read, every network connection, every command executed. Attributed to the agent, the user, and the session. In real time.

3

Enforce Policy at the Moment of Decision

Block credential access. Restrict which destinations agents can reach. Require human approval for destructive operations. Feed context to your existing security tools.

BUSINESS CASE

The Math Is Simple

Cost of One Incident

Data breach

$4.88M average (IBM 2024)

Regulatory fines

Varies by jurisdiction and framework

Customer churn

Trust recovery takes years

Remediation labor

Weeks of engineering and legal time

Reputational damage

Public disclosure, press coverage

Executive liability

Personal accountability for control gaps

Cost of QControl

Single binary deployment

No infrastructure changes

Deploys in hours, not months

Works with your existing security stack

QControl doesn't replace your security tools. It makes them work for AI agents the same way they work for everything else.

INTEGRATION

Works With What You Already Have

EDR

CrowdStrike

SentinelOne

MS Defender

SIEM

Splunk

Sentinel

Elastic

Identity

Okta

Duo

Azure AD

Network

Cisco

Palo Alto

Zscaler

LLM Gateway

Portkey

Helicone

QControl produces signal. Your existing enforcement layer acts on it. No rip-and-replace.

GETTING STARTED

Deployed in Hours. Not Months.

1

Install

Single binary, no dependencies, no agents to configure, no cloud infrastructure required.

2

Discover

Automatically finds every AI agent running on the endpoint. Reports what it finds.

3

Enforce

Load policies. Start seeing what agents do. Block what they shouldn't.

Most teams go from install to first policy enforcement in under a day.

Your Agents Are Running Right Now

Find out what they're doing