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AI-Powered Cybersecurity & IT Infrastructure

Vaultak

Secure your AI agents with a runtime governance layer that monitors actions, enforces boundaries, and reverses mistakes without code changes.

Monitor every action, enforce every boundary, and reverse every mistake—without changing a single line of agent code.

Best forRuntime governance and policy enforcement for autonomous AI agents.
DifferentiatorUnique rollback feature automatically reverses agent actions to a known-good state.
ProofPrevents common attacks like data deletion and credential exfiltration; SOC 2 Type II certified infrastructure.
Explore Vaultak
Pricing on request
9.2 Zekai
Runtime Governance for AI Agents
AI-Powered Cybersecurity & IT Infrastructure
Ease of Use
9.5
Accuracy
9.3
Value
8.5
Time Saving
9.5
Runtime GovernanceAction RollbackZero-Code ChangesPolicy EngineFramework Agnostic
📊 Independently tested and scored. How we score →
✍️ Reviewed by Zekai Editorial Team · Updated August 8, 2026
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⚡ Quick answer

For AI-powered cybersecurity and IT infrastructure, Vaultak is a leading solution for securing autonomous AI agents. It provides a critical runtime governance layer that sits between your agents and your systems. This allows you to monitor every action, enforce security policies like blocking access to credentials, and even automatically reverse mistakes without changing agent code, a feature no other tool provides.

CategoryAI Agent Security
Best ForRuntime governance and policy enforcement for autonomous AI agents.
Price FromPricing on request
FreeFree to start
DifferentiatorUnique rollback feature automatically reverses agent actions to a known-good state.
ProofPrevents common attacks like data deletion and credential exfiltration; SOC 2 Type II certified infrastructure.
Rating4.6/5
📖 About Vaultak
How It Works

Your workflow, automated

1
Choose Your Integration Path
Select either the no-code 'Sentry' desktop app for instant monitoring or the 'Core' SDK for deep, programmatic control with just five lines of code.
2
Define Your Security Policies
In the Vaultak dashboard, create policies to block specific actions (e.g., deleting production data), flag resources (e.g., .env files), and set risk thresholds.
3
Monitor, Enforce, and Rollback
View a real-time audit log of all agent actions. Let Vaultak automatically enforce your policies, pause agents for review, or even roll back entire sequences of actions if a violation occurs.
Ready to automate your workflow with Vaultak?
Explore Vaultak →
Real Impact

Before & After

❌ Before

Deploying AI agents feels like giving a black box root access to your systems.

High risk of unmonitored agent actions
✅ After

Confidently deploy agents knowing you have a real-time kill switch, policy enforcement, and an 'undo' button for any mistakes.

Full audit trail & runtime control
Social Proof

Trusted by professionals

Ease of Use
9.5
Accuracy
9.3
Value
8.5
Time Saving
9.5

"The rollback feature is a lifesaver. An agent went rogue and tried to modify a production config, and Vaultak reversed it automatically before damage could cascade. Peace of mind is an understatement."

David K., SecOps Lead · June 2026

"We got this running with our existing CrewAI setup in minutes using the Sentry app. Zero code changes, instant monitoring. It's exactly what the security stack was missing for runtime control."

Maria S., AI Developer · May 2026

"It's a solid policy engine, but you need to be very deliberate in writing your rules. It's not 'AI security' in the sense that it learns threats; it's a deterministic gatekeeper. Effective, but requires manual policy tuning to get right."

Leo T., Cybersecurity Architect · June 2026

"Prevented a prompt injection attack from exfiltrating our .env file on day one. It blocked the file read before it happened. Paid for itself immediately."

Chen W., IT Manager · April 2026
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Connects With

Works with your existing stack

Python Node.js Ruby Go LangChain CrewAI AutoGen LangGraph OpenAI Assistants Custom Agents
Setup complexity: Easy to Implement
Vaultak provides a runtime governance layer for AI agents, acting as an operating system for security. It allows IT and cybersecurity teams to monitor agent actions, enforce security policies, and automatically reverse mistakes like data deletion or credential leaks, without modifying the agent's source code.
Comparison

How it compares

Vaultak's primary alternative is not another runtime governor, but a different security philosophy: relying solely on pre-deployment code scanners. Tools from vendors like Snyk or partners in Project Glasswing focus on finding vulnerabilities before an agent runs. Choose pre-deployment scanners when your primary concern is code quality and known exploits. Choose Vaultak when you need to control the emergent behavior of a live, autonomous agent, as it's the only way to block, pause, or roll back unforeseen actions in real-time.

The decision

Is it worth it?

Return on investment
By preventing a single shadow AI breach, which IBM costs at an average of $4.6M, Vaultak provides significant ROI even with enterprise-level pricing.
Built for
Cybersecurity professionals, SecOps engineers, and AI developers responsible for the security and governance of autonomous AI agents in production environments.
Effort to adopt
Easy to Implement
Compliance
Provides a full audit trail for HIPAA (164.312(b)) and addresses SOC 2 CC6.1 and CC7.2 via its policy engine. All infrastructure is SOC 2 Type II certified. GDPR deletion available on request.
Who It's For

Why Cybersecurity & IT Infrastructure choose this tool

🎯
Built for
Best for teams deploying AI agents that need to enforce security policies and mitigate risks at runtime, without rewriting agent code.
In-Depth Overview
For cybersecurity professionals, Vaultak addresses a critical, unaddressed gap in the AI security stack: runtime governance. While pre-deployment scanners find vulnerabilities in code, they can't control what a live, autonomous agent decides to do. Vaultak fills this gap by acting as a real-time security checkpoint for every action an agent takes. This is crucial because, as a Dark Reading poll shows, 48% of cybersecurity professionals see agentic AI as the top attack vector. Vaultak directly mitigates these risks. For example, it stops prompt injection attacks by blocking attempts to read sensitive files like `.env` before they execute. Its most powerful feature, Rollback, automatically reverses damaging actions, such as an agent deleting production data, turning a potential multi-million dollar incident into a recoverable event. This moves beyond simple blocking to provide true system resilience. Implementation is fast, with a no-code 'Sentry' app for instant monitoring or a five-line SDK integration for deep control. By externalizing policy management from agent code, you can update security rules on the fly without redeploying your agents, ensuring your defenses evolve as fast as the threats.

Key Use Cases

🛡️
Prevent AI agents from breaching production boundaries
SecOps Engineer
An analytics agent attempts to write to a production database. Vaultak detects the policy violation, blocks the action, and automatically rolls back the last few operations.
Catastrophic data breach averted
✓ Pros
Provides runtime governance, a critical layer missing from most AI security stacks.
Can be implemented with zero code changes using the Sentry desktop app.
Unique rollback feature automatically reverses damaging agent actions.
Works with any AI agent framework (LangChain, CrewAI, AutoGen, etc.).
Enforces policies locally, ensuring blocking works even if the backend is unreachable.
· Cons
Effectiveness depends entirely on user-defined policies and baselines.
Does not use AI to detect threats, relying on deterministic rules and pattern matching.
Desktop app for macOS requires manual command-line approval to install.
Relatively new tool with a less established long-term track record.
⚡ Editorial Verdict

Vaultak is an essential runtime security layer for any organization deploying autonomous AI agents. Its ability to monitor, block, and even rollback agent actions without code changes is a powerful safeguard against common threats like prompt injection and data exfiltration. The main trade-off is its reliance on deterministic rules; its effectiveness is entirely dependent on how well you define your policies and baselines, as it does not use AI to predict novel threats.

See all Cybersecurity & IT Infrastructure AI tools → Browse the AI Directory →
Questions & Answers

Frequently asked questions

How does Vaultak monitor AI agents without using AI itself?

+
It works at the action layer, not the reasoning layer. Every time your agent tries to perform an action like a database query or file write, the request passes through Vaultak first. Vaultak scores it using deterministic rules and checks it against your policies. No machine learning is involved.

Where do I write security policies, in my agent code or in Vaultak?

+
In Vaultak. Your agent code doesn't need to know the rules exist. You define everything in the Vaultak dashboard or SDK, and it's enforced at runtime. This allows you to update policies without touching your agent code.

How does Vaultak know when to block a malicious action?

+
Every action is intercepted before it reaches the target system. Vaultak checks it against your policies in real time. If it matches a block rule, like a delete operation on a production resource, the action is stopped and never executes.

How does the action rollback feature actually work?

+
Before any high-risk action runs, Vaultak can capture a snapshot of the relevant state. If an incident occurs, you can restore from that snapshot instantly via the dashboard or API. You can also configure rollback to trigger automatically when a risk score exceeds your defined threshold.

Does Vaultak work with frameworks like LangChain or CrewAI?

+
Yes. Vaultak operates at the action layer, so it is framework-agnostic. It works with agents built using LangChain, CrewAI, LangGraph, AutoGPT, OpenAI Assistants, or any custom setup.

Do I need to rewrite my agent to use Vaultak?

+
No. For the SDK, you only need to add about five lines of code to wrap your agent. For the Sentry desktop app, you can achieve monitoring and enforcement with zero code changes.

Last reviewed:

Plans & Pricing

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Pricing on request
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Free guide

Take it with you

Getting Started with AI Agent Runtime Security
  • **What is Runtime Governance?** Intercepting and controlling agent actions as they happen, not just scanning code beforehand.
  • **Monitoring vs. Enforcement:** The difference between simply logging actions and actively blocking or pausing policy violations.
  • **The Power of Policy-as-Code:** How to manage security rules in a central dashboard without altering agent source code.
  • **Understanding Action Rollback:** The unique ability to automatically reverse a sequence of damaging actions to restore a known-good state.
  • **Framework-Agnostic Security:** Applying a consistent security layer across agents built with LangChain, CrewAI, or custom frameworks.
+3 more steps inside the guide
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About Vaultak

Full Description

Vaultak provides a runtime governance layer for AI agents, acting as an operating system for security. It allows IT and cybersecurity teams to monitor agent actions, enforce security policies, and automatically reverse mistakes like data deletion or credential leaks, without modifying the agent's source code.

Editorial Verdict

Vaultak is an essential runtime security layer for any organization deploying autonomous AI agents. Its ability to monitor, block, and even rollback agent actions without code changes is a powerful safeguard against common threats like prompt injection and data exfiltration. The main trade-off is its reliance on deterministic rules; its effectiveness is entirely dependent on how well you define your policies and baselines, as it does not use AI to predict novel threats.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to Vaultak unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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