Govern AI Agents with Natural Language Policies.
Custos provides policy enforcement,
auditability and runtime security
for AI agents operating against
databases, APIs and enterprise systems.
Policy. Judge. Enforce.
Policy
Define governance policies in natural language.
Judge
Evaluate AI plans against human-readable policies.
Enforce
Allow or deny actions before execution.
Audit
Record every decision and action for review.
How Custos Makes Decisions
Custos evaluates AI-generated plans against human-readable governance policies before actions are executed.
Define Policies
Organizations define governance policies in natural language.
FIN-1: Finance agents may access payroll systems only for reporting purposes.
Agent Creates a Plan
The AI agent generates an intended action.
Download all payroll records and export them to CSV.
LLM Policy Reasoning
Custos compares the plan against governance policies and evaluates intent.
Allow or Deny
Actions are enforced before execution with complete auditability.
DENY — Attempted data extraction exceeds reporting-only authorization. Policy: FIN-1.
Beyond RBAC and IAM
Traditional authorization systems evaluate users, roles, resources, and actions. Custos evaluates intent.
Instead of matching predefined rules, Custos compares AI-generated plans against human-readable governance policies and determines whether an action aligns with organizational objectives.
Python & Node.js
supported SDK
Envoy WASM Filter-based
traffic flow control
Protects Postgres,
MySQL, APIs & more
Manage and monitor
CENTRAL operations
Policy reasoning with
public or private LLMs
Add verification to your AI actions
Keep your existing code. Add governance and policy verification with a single SDK integration.
import psycopg2
conn = psycopg2.connect()
cursor = conn.cursor()
cursor.execute(
"SELECT * FROM payroll;"
)import psycopg2
from custos import Custos
conn = psycopg2.connect(port=9999)
custos = Custos(agent_id="my-agent")
plan = {
"intent": "Export payroll data",
"action": "SELECT * FROM payroll;"
}
with custos.secure_action(plan) as ctx:
conn.cursor().execute(plan["action"])Custos doesn't just block dangerous commands — it evaluates AI agent intent against human-readable governance policies.
FIN-1 — Finance agents may access payroll data only for reporting purposes.
Download all payroll records and export them to CSV.
DENY — Attempted data extraction exceeds reporting-only authorization. Policy violated: FIN-1.
This is Semantic Authorization: Custos evaluates what the AI agent is trying to do, not just which API or SQL command it is calling.
Governance for AI Agents
Custos allows organizations to govern AI agents using natural language policies, evaluated by LLM-powered policy reasoning and enforced at runtime.
AI agents are evolving beyond simple chat interfaces. They can now query databases, call APIs, execute workflows, and perform real business operations autonomously.
As organizations adopt AI agents, critical questions emerge:
- What is the AI trying to do?
- Does the plan comply with human-readable policies?
- Should this action be allowed before execution?
- Can every decision and action be audited later?
Custos was created to answer these questions.
Unlike traditional IAM systems or policy engines, Custos evaluates AI agent plans against human-readable governance policies.
Organizations can define policies in natural language, while Custos uses LLM-powered policy reasoning to determine whether an action should be allowed.
Positioned between AI agents and enterprise systems, Custos validates intent, enforces policies at runtime, and creates a complete audit trail for every AI-driven action.
Our vision is to become the trust layer for the AI era, enabling organizations to deploy AI agents securely, governably, and with confidence.
Founder & Vision
Custos was founded by a software architect with more than 20 years of experience in enterprise software, cybersecurity, cloud infrastructure, and distributed systems.
His background includes delivering security-sensitive projects for financial institutions, government agencies, and enterprise customers where governance, compliance, and auditability are essential.
He also brings extensive experience in AI model training, inference serving, and AI platform engineering, providing firsthand insight into the challenges of deploying autonomous AI systems safely at scale.
Custos was founded with a simple mission: to make AI actions secure, governed, and auditable by default.
Building the Future of AI Governance
Our journey toward making AI actions secure, governed, and auditable across enterprise environments.