Veto provides a real‑time decision‑layer firewall that intercepts every AI‑driven action—SQL/ORM queries, HTTP/gRPC calls, shell commands, and outbound email—before it reaches production.
Funding
Funding not disclosed
Founders
Product
Problem
AI-driven agents in production environments can issue database deletions, financial transactions, and outbound communications without any mandatory checks, leading to accidental data loss, unauthorized payments, and unintended messaging.
Solution
Veto introduces a decision‑layer firewall that sits between AI agents and the infrastructure they control. It intercepts every database query, API call, shell command, and outbound email in real time, routing each request through a policy engine before the action reaches production. By enforcing mandatory guardrails, Veto ensures that only authorized, policy‑compliant actions are executed, preventing accidental deletions, unauthorized payouts, and unintended communications. The platform integrates with SQL/ORM layers, HTTP/gRPC services, CI runners, and email systems, providing a uniform protection surface across all execution vectors. All decisions are logged, and any request that fails policy validation is blocked, guaranteeing that no prohibited action ever touches live systems.
Target Audience
Primary customers are engineering and DevOps teams that deploy AI‑driven automation in production, as well as enterprises that need strict governance over data, financial, and communication workflows.
Features
- Real‑time interception of SQL/ORM queries, including destructive DDL and data‑modifying statements
- Policy enforcement for HTTP/gRPC calls covering payments, IAM changes, and internal API interactions
- Guardrails for shell and CI runner commands, preventing unauthorized remote execution
- Outbound email and SES/SMTP filtering to block unintended messaging
- Sub‑50 ms latency per decision envelope, ensuring minimal impact on application performance
- Centralized policy management with immutable logs for audit and compliance
- Mandatory enforcement model: actions that do not pass the decision layer are never executed