QControl: The AI Agent Blind Spot
Product brochure page — problem-first diagnostic lens showing how QControl closes the visibility gap in AI agent security
Section 1 — Hero
The AI Agent Blind Spot
Your agents are making network calls, reading credentials, and executing shell commands. Can you see any of it?
How many agents?
are running across your endpoints right now
What credentials?
have your agents accessed this week
Which destinations?
are your agents connecting to
THE PROBLEM
AI Agents Are a New Class of Activity Your Stack Can't See
Agents operate across four surfaces — file access, network connections, shell commands, MCP server interactions — but existing tools (EDR, SIEM, network firewalls) see none of the agent-specific context.
What's invisible today
What your existing tools see
EDR: process spawned (node)
SIEM: auth event logged
Firewall: TLS → api.anthropic.com:443
None of these know an AI agent is driving.
Your network sees a TLS connection. Your EDR sees a process. Neither knows an AI agent is driving.
TODAY'S OPTIONS
Block Everything or Allow Everything
Block all AI traffic
Stalls developer productivity
Pushes agents to shadow IT
Loses competitive advantage
Allow all AI traffic
No visibility into what agents access
No control over destructive operations
Unlimited blast radius
There is a third option: see what agents do and enforce policy at the moment of decision.
THE SOLUTION
QControl: Runtime Agent Control
See what agents do. Stop what they shouldn't.
Discovery
Find Every Agent on Every Endpoint
Four detection layers ensure nothing hides.
Process signature detection
File signature detection
Embedded detection (agents inside IDEs, browsers, vertical SaaS)
External signal (network/kernel flags agentic traffic)
Observation
X-ray Vision into Agent I/O
Two vantage points: inside the process and outside. Agent doesn't have to cooperate. Corrupted agent can't hide execution.
Inside: file ops, network, tool/MCP calls, API requests before encryption
Outside: child processes, native telemetry, configs, binary data files
Enforcement
Attach Context as Signals
QControl injects context, your perimeter matches on context, enforcement decisions are context-aware.
Feeds EDR, IdPs, ASPM, ADR, SIEMs
Feeds MCP gateways, LLM gateways
Decoupled detection — same pattern as Cisco ISE, Duo, Rapid Threat Containment
COMPLETE VISIBILITY
A Full Model of Agent Activity
Session
session_id
start_time
task_description
Agent
agent_type
version
harness
User
user_email
auth_method
Endpoint
hostname
os
arch
Model
model_id
provider
pricing_tier
API Key
key_prefix
org_id
scope
MCP Server
server_name
transport
tools_exposed
Capability
tool_name
input_schema
File
path
sensitivity
access_type
Secondary Call
destination
protocol
method
LLM Turn
role
token_count
cache_hit
Tool Call
tool_name
duration_ms
result_status
Every entity is correlated. A single tool call traces back through the LLM turn, session, user, and endpoint.
DEPTH OF VISIBILITY
Three Tiers. Progressively Deeper.
T1 — Foundational
Broad coverage across all agents. Works from day one.
T2 — Robust Client Support
Known primitive interpolation. Deeper correlation without agent cooperation.
T3 — Client-Specific
Native governance hooks. Deepest visibility into agent reasoning.
EXTENSIBLE BY DESIGN
Plugins That Attach to Every Agent Action
Stable C/C++/Rust/Zig ABI. Plugins receive events, return decisions, can mutate payloads. Same plugin runs against CLI and embedded library.
Allowlist Outbound Destinations
Default-deny for agent network calls. Only approved endpoints are reachable. Everything else blocked.
ALLOW: api.anthropic.com, internal-mcp.corp DENY: *
Redact Secrets in Flight
Intercept file reads and replace credential patterns before the agent sees the content.
API_KEY=sk-ant-... -> REDACTED_BY_POLICY
Annotate Every Tool Call
Add contextual headers to outbound HTTP requests. Existing network enforcement makes smarter decisions.
X-Agent-Id: claude-code-1.0.33 X-Trust-Score: 0.72 X-Session: a8f3...
DECOUPLED DETECTION
QControl Produces Signal. Your Stack Enforces.
Agent
tool call
QControl
injects context
Perimeter
matches on context
Decision
context-aware action
QControl doesn't replace your stack
It makes it smarter by filling the agent blind spot. Your existing enforcement layers gain agent-aware context they never had.
Integration points
Pattern: Cisco ISE, Duo, Rapid Threat Containment
TRUST MODEL
Absence of Signal Is Itself Signal
Heartbeat Model
Present
Endpoint managed and trusted. Cryptographically signed against attested key.
Absent
Endpoint treated as untrusted. AI traffic without valid heartbeat = network constrains automatically.
Deployment Forms
qcontrol
Single CLI binary. Discovers agents, taps I/O, loads plugins, streams events. For direct customers.
libqcontrol.h
C library. Same engine, stable C ABI. Embeds into existing endpoint agents or platform products. For partners.
THE EVIDENCE
This Is Already Happening
AI agent deleted a production database in 9 seconds. The agent then confessed, in writing, which safety rules it violated.
Coding agent ignored explicit halt instruction ("DO NOT RUN ANYTHING"), executed additional commands anyway.
$57K CMS deletion by autonomous agent.
"Rules aren't enough, mechanical gates are the only reliable safety mechanism."
175 likes, 21K views
These aren't edge cases. They're the predictable result of agents operating without runtime control.
Close the Blind Spot
See what your agents are doing — before something goes wrong