Privatevault.ai

PrivateVault is a Decision Security Control Plane for autonomous AI agents.

As AI systems move from copilots to autonomous execution, enterprises increasingly face a new problem: AI agents can trigger real-world actions without enforceable runtime controls.

PrivateVault introduces a governance layer between AI intent and execution.

Before any autonomous action occurs, PrivateVault intercepts the request and applies:

• runtime allow/review/block enforcement
• policy validation
• deterministic replay
• cryptographic audit trails
• trust-weighted multi-agent consensus
• immutable execution lineage

We’re building infrastructure for governed AI execution across:

• financial approvals
• infrastructure operations
• enterprise workflows
• long-running multi-agent systems
• autonomous operational pipelines

Current AI tooling focuses heavily on orchestration and observability after execution. PrivateVault focuses on trust and enforcement before actions occur.

Key capabilities:

• Runtime Governance Engine
• Deterministic Replay System
• Immutable Audit Ledger
• Multi-Agent Policy Enforcement
• Replayable Execution Timelines
• Human-in-the-Loop Governance
• LangGraph + Bedrock integrations
• Python / TypeScript / Go SDKs

Example workflow:
An AI finance agent attempts a $42,000 transfer. PrivateVault intercepts the action, evaluates risk policies, applies governance rules, and blocks execution before the transaction occurs — while generating replayable cryptographic audit evidence.

PrivateVault has been accepted into NVIDIA Inception and is currently engaging early enterprise AI/security operators exploring governed autonomous workflows.