Stop the Slop.
Enforce what your AI agents are allowed to do before they do it. Agent Enforcer locks your security policies, compliance controls, and coding standards into every AI session, automatically, at the system level.
“When your organization deploys AI coding assistants, who's making sure they follow your rules?”
Ungoverned AI is already writing your code
Organizations are deploying AI coding assistants at scale. These models have no inherent knowledge of your security controls, compliance requirements, or internal standards.
No guardrails at session start
Every AI session begins with a blank slate. No policies. No security context. No standards.
Inconsistent, non-compliant output
Developers prompt AI differently, producing wildly divergent and non-compliant code.
Vulnerabilities ship silently
Security flaws get written and shipped before any human ever reviews them.
Thin audit trails
Accountability is unclear. Auditors ask how you govern AI, and there is no answer.
Token costs balloon
Unguided agents loop through trial and error, burning budget on wasted iterations.
Without enforcement, every risk above compounds across every developer, every day.
System-level enforcement. Zero developer friction.
Agent Enforcer installs as a lightweight system service on developer workstations and CI/CD environments. It pulls your approved policy and applies it to every AI session, automatically.
Enforcement Management UI
NIST controls, coding standards, and security policies are uploaded as plain-English documents.
Configuration Engine
Converts policy docs into structured guidance for your coding agents: instructions, settings, skills, and commands.
Every Developer. Every Session.
Agent Enforcer runs on every workstation, active before a single line of code is written.
Automatic · Continuous · Sync
Define once. Enforce everywhere, automatically.
- Security requirements baked in before code is written
- Compliance controls active on every AI session
- Coding standards applied uniformly across all developers
- No developer action required. System-level enforcement
- Policy updates propagate to every endpoint automatically
- Works with existing coding agent deployments. No rearchitecting
Security, savings, and standards, enforced by default
Agent Enforcer delivers compounding value from day one: hardened security posture, dramatic token savings, and uniform coding standards across your entire organization.
Controls active before code is written
AI agents do exactly what they're told. If they aren't told your security requirements, they'll write code that ignores them. Agent Enforcer embeds your controls directly into the AI's operating context.
- Parameterized queries only. SQL injection blocked at the source
- Secrets via environment variables. No hardcoded credentials, ever
- Non-root container execution. Least-privilege Docker by default
- HTTPS-only endpoints. Enforced protocol standards
- Approved library lists. Unapproved dependencies flagged
- Custom policy documents for your own internal standards
Monthly token spend
ConservativeUp to 0% savings on developer AI spend
Unguided agents iterate wastefully. They assume, get corrected, retry, and loop. Every exchange burns tokens. Agent Enforcer eliminates the most expensive loops by giving the AI the right context from the first prompt.
*Modeled on $1M/month organization-wide token spend ($12M/year): 28% conservative, 35% likely reduction.
Same task. Same AI. Different rules.
When 50 developers prompt the same AI differently, you get 50 different patterns and 50 different security postures. Agent Enforcer standardizes output across your entire development organization.
Demonstrated result: enforced AI sessions produced zero critical vulnerabilities versus two in unenforced sessions. Same model, same task.
def get_user(id):
q = f"SELECT * FROM
users WHERE id={id}"
return db.run(q)
# no types
# no docstringdef get_user(id: int) -> User:
"""Fetch a user by id."""
return db.query(
"SELECT * FROM users "
"WHERE id = %s", (id,),
)From policy to enforcement in four steps
Defined once by your team, then enforced everywhere, continuously and automatically.
- 1
Define Policy
Your team authors enforcement documents in plain English. Security requirements, compliance controls, and coding standards.
- 2
Generate Configuration
A configuration engine converts policy docs into structured guidance for your coding agents: instructions, settings, skills, and commands.
- 3
Distribute Automatically
Agents on every developer machine sync enforcement config automatically. No developer action required.
- 4
Enforce at Session Start
Every AI coding session starts with your policies already active. Compliant by default.
Deployment Profile
- Platform
- Rocky Linux / RHEL 9 (RPM)
- Agent size
- < 1 MB installed
- Network
- Outbound HTTPS only
- Air-gap compatible
- Yes, configurable endpoint
- Sync interval
- Configurable per fleet
- User action required
- None after install
- Credentials
- IAM role, no user secrets
- Audit trail
- Sync logs + version history
Supported Operating Systems
Prefer to hand it off? White-glove policy service
No bandwidth to author and maintain policy in-house? Our enforcement specialists will define, upload, and continuously maintain your enforcement posture for you, so your standards stay current as your stack and compliance requirements evolve.
Agents fly blind in the air gap
On the open internet, an AI agent can lean on assumptions. Inside an air-gapped enclave, those assumptions quietly break, and the agent doesn't know it.
Unknown network topography
The agent has no map. It probes blindly for services and hosts that may not live where it expects them to.
UnresolvedURLs that don’t route
Endpoints it assumes are reachable time out, resolve to nothing, or sit behind a proxy it never anticipated.
UnresolvedCloud features that aren’t there
Managed services and cloud APIs the model instinctively reaches for simply do not exist inside the enclave.
UnresolvedLibraries and repos behind upstream
Internal mirrors and package registries lag public sources, so its first-choice versions and imports fail.
UnresolvedEvery wrong assumption becomes token swirl
The agent retries dead routes, hunts for services that were never deployed, and cycles through versions that don't exist. Each failed guess spawns another, so churn in a disconnected environment runs even hotter than on the open internet, burning budget on loops that can never resolve.
Agent Enforcer front-loads ground truth. Your real network map, approved endpoints, available services, and internal package sources are pinned into every session, so the agent stops guessing and starts building against reality.
The economic case is decisive
A full Organization-tier deployment for up to 1,000 enforcement agents, dedicated Managed Enforcement Specialists, and a Founding Partner rate. Projected to return its cost in token savings alone within 12 to 18 months.
Founding Partner rate. 23% below standard.
Standard renewal rate, per year.
Cost savings breakdown
Modeled against $12M annual token spend.
- Token Savings$3.36M
- Security Incident Savings$5M+
- Recovered Dev Hours$5M+
Token savings assume a 28% efficiency gain on $12M annual spend, exceeding Year 1 investment on efficiency alone.
Security risk reduction
In controlled testing, unenforced sessions averaged one critical vulnerability per task. Enforced sessions produced zero.
- Hardcoded credentials
- SQL injection
- Privilege escalation
Agent Enforcer does not replace your security team. It makes your security team's requirements impossible for AI agents to ignore.
Plans built for every scale
Choose the plan that matches your workforce. Every plan includes system-level enforcement, automatic distribution, and full audit trails.
Division
Up to 250 seats
- Centralized policy configuration
- Cloud-native deployment
- Automatic rule propagation
- Fine-grained fleet management
Organization
Up to 1,000 seats
- Everything in Division
- Air-gap deployment support
- Agents for custom operating systems
- Hands-on initial policy uploading
Enterprise
Up to 5,000 seats
- Everything in Organization
- Prioritized feature requests
- Dedicated training
- 1 managed enforcement specialist
Unlimited
Unlimited seats, organization-wide, with a dedicated account team.
Founding Partner Rate available for the first organization engagement. Contact for details.
Govern your AI before it's a liability.
Auditors are already asking how you govern your AI. Agent Enforcer is your answer. Request a briefing with an enforcement specialist.