Vaultak
Vaultak is a runtime governance layer that intercepts AI agent execution and enforces policy-based controls without requiring code changes. It monitors every action, scores risk across five dimensions, blocks policy violations before they execute, and automatically reverses actions if breaches occur. The tool integrates natively with LangChain, CrewAI, AutoGen, LangGraph, and OpenAI Assistants, making it deployable across most modern agentic AI stacks. Agencies use Vaultak to deliver governed agent deployments to clients in regulated industries, offer audit and compliance as a managed service, and prevent cascading damage from prompt injection, credential leakage, or erroneous agent decisions.
Vaultak is a runtime governance layer, priced at $49/month on the Pro plan, integrating with LangChain, CrewAI, AutoGen, and LangGraph. InnovaAI scores it 6.4/10 for agency resale.
Agency Audit
Vaultak wraps AI agent execution with runtime policy enforcement, allowing agencies to monitor, pause, and automatically reverse agent actions without code changes. It integrates natively with LangChain, CrewAI, AutoGen, and LangGraph, making it relevant for agencies building agentic AI solutions for clients. The tool is best suited for security-focused agencies or those deploying AI agents in regulated/high-risk environments where clients need audit trails and rollback capability. Resale potential exists as a managed service retainer, but adoption depends on whether your client base actually runs autonomous agents in production.
6.4/10
49%
3d about 3 days
- You work with clients deploying autonomous agents using LangChain, CrewAI, or AutoGen and need to offer governance as a managed service.
- Your clients operate in regulated industries (finance, healthcare, critical infrastructure) where audit trails and action reversal are compliance requirements.
- You want to differentiate your AI consulting with a security-first positioning backed by runtime controls rather than post-incident remediation.
- Your clients are primarily using LLMs for content generation, customer support chatbots, or document analysis rather than autonomous agents that take actions.
- You need white-label branding for client-facing dashboards; Vaultak displays its own brand on monitoring interfaces.
- Your clients require on-premises deployment and you cannot commit to the Enterprise plan's custom pricing and SSO/SAML setup.
Profit Path
$49/mo
$1K–$3K/project
Monthly Recurring
Planning benchmark at United States price levels. Not a measured market survey.
Platform Features
Core capabilities of Vaultak
Real-time action monitoring and scoring
Vaultak logs every agent action and scores it across five risk dimensions before execution. Agencies can show clients a live dashboard of agent behavior, audit compliance, and policy violations in real time.
Policy-based enforcement without code changes
Define rules (e.g., block API calls to production databases, prevent credential exposure) that Vaultak enforces at runtime. Agencies can update policies for clients without redeploying agent code.
Automatic action rollback
If an agent violates policy, Vaultak reverses the last N actions automatically. Clients avoid cascading damage from a single malicious or erroneous agent decision.
Prompt injection detection and blocking
Vaultak detects and blocks prompt injection attempts before they execute. Critical for agencies deploying agents that accept user input or interact with untrusted data sources.
Instant agent pause for human review
Agencies can pause agents mid-execution for manual inspection without losing state. Useful for high-stakes decisions (e.g., financial transactions, data deletions) where human approval is required.
Extended audit logs with PII masking
Team and Business plans retain 90-day to 1-year audit trails. PII masking on the Team plan lets agencies comply with privacy regulations while maintaining full audit visibility.
What Makes Vaultak Different
Unique advantages vs similar tools in this niche
Automatic rollback of agent actions
vs Competitors that only alert or blockVaultak captures state snapshots before high-risk actions and can reverse them automatically, a capability no other tool offers.
Runtime governance without code changes
vs Pre-deployment scanning toolsVaultak works at the action layer, so it can be added to existing agents with five lines of code or a desktop app, without rewriting agent logic.
Transparent self-serve pricing
vs Enterprise contract pricing starting at $50,000/yearVaultak offers transparent tiered pricing starting free, making it accessible to individual developers and small teams.
Investment ROI Calculator
Value equation analysis for Vaultak, based on the Hormozi framework
What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.
2.7× value multiple: invest $49/mo and agencies typically charge $1K–$3K/project for the work it powers.
Why This Succeeds
Higher is betterClient Results Potential
What your clients actually get
High-impact results: clients get measurable improvements in delivered value
Rollback reverses it automatically before damage cascades
Reliability Score
How consistently this delivers results
Early-stage track record: validate with a small pilot first
The world's leading security teams are sounding the alarm.
Implementation Challenges
Lower is betterTime to First Revenue
How long until you can start earning
Standard ramp-up: accelerate to 1 day with Academy SOPs
Expect a few days from signup to first client delivery
Setup Effort
What it takes to get running
Near-turnkey: minimal setup before you can sell
Moderate effort: standard configuration with some customization needed
Strong ROI. Vaultak at $49/mo supports market rates of $1K–$3K. Its 2.7× value-equation score weighs client outcome and likelihood against the time and effort to deliver, not cost.
Pricing
Vaultak platform cost to your agency
Starts at $49/mo (Pro), scales to $299/mo (Business)
Pro
- Up to 5 agents
- 100,000 actions/mo
- 30-day audit log
- ALERT, PAUSE, ROLLBACK
Team
- Up to 15 agents
- 500,000 actions/mo
- 90-day audit log
- Everything in Pro
Business
- Up to 50 agents
- 2,000,000 actions/mo
- 1-year audit log
- Everything in Team
Enterprise
- Unlimited agents
- Unlimited actions
- Unlimited audit log
- Everything in Business
No verified white-label program for Vaultak: client-facing delivery runs under the platform's native branding.
Market Intelligence
How agencies monetize Vaultak: real offer economics and market positioning
- AI development agencies
- Security-focused agencies
- Agencies deploying agentic AI for clients
- Agencies without AI agent deployments
- Agencies needing white-label client portals
Project-Based
ai-toolsAgency charges per-project fee for implementation. Ongoing optimization as optional retainer.
Offer Economics: What You Charge vs. What It Costs
Margin includes platform cost + agency labor at $75/hr.
Local service businesses or solo practitioners deploying their first AI agent who need basic safety guardrails and audit visibility
Funded startups or regional brands running 5–15 AI agents in production who need PII protection, policy enforcement, and rollback capability
Mid-market companies with 50–500 employees running multi-agent AI workflows who need SIEM integration, shadow AI detection, and enterprise-grade audit trails
Enterprise organizations with 500+ employees requiring on-premises Vaultak deployment, SSO/SAML integration, and board-level AI risk governance frameworks
Scale Economics: Based on Starter Offer
Using Vaultak SMB Agent Shield at $2.5K/client. Platform: $49/mo. Labor: 4h/client × $75/hr.
Net = MRR - platform cost - labor (4h/client × $75/hr).
Investment Decision Framework
Strategic vetting analysis for Vaultak
Consider
Favorable fit, worth a closer look
Buy If
4You work with clients deploying autonomous agents using LangChain, CrewAI, or AutoGen and need to offer governance as a managed service.
Your clients operate in regulated industries (finance, healthcare, critical infrastructure) where audit trails and action reversal are compliance requirements.
You want to differentiate your AI consulting with a security-first positioning backed by runtime controls rather than post-incident remediation.
You have 5+ clients running agents simultaneously and can amortize Vaultak's Team or Business plan ($99-$299/mo) across multiple retainers.
Skip If
4Your clients are primarily using LLMs for content generation, customer support chatbots, or document analysis rather than autonomous agents that take actions.
You need white-label branding for client-facing dashboards; Vaultak displays its own brand on monitoring interfaces.
Your clients require on-premises deployment and you cannot commit to the Enterprise plan's custom pricing and SSO/SAML setup.
You lack engineering resources to help clients integrate Vaultak into their agent codebases; the tool requires runtime-level configuration, not plug-and-play setup.
Bottom Line
Vaultak wraps AI agent execution with runtime policy enforcement, allowing agencies to monitor, pause, and automatically reverse agent actions without code changes. It integrates natively with LangChain, CrewAI, AutoGen, and LangGraph, making it relevant for agencies building agentic AI solutions for clients. The tool is best suited for security-focused agencies or those deploying AI agents in regulated/high-risk environments where clients need audit trails and rollback capability. Resale potential exists as a managed service retainer, but adoption depends on whether your client base actually runs autonomous agents in production.
Reality Check
Vaultak's value is tightly coupled to agent deployment maturity. Agencies whose clients are still experimenting with chatbots or simple integrations will struggle to justify the cost. Additionally, the tool requires integration at the agent runtime layer, meaning clients cannot retrofit it onto existing agent code without some engineering effort.
Moderate effort: standard configuration with some customization needed
Academy for Vaultak
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
Vaultak Agency Implementation, Governed AI Agent Delivery
Learn how to deploy AI agents with runtime governance for regulated clients, set up policy enforcement without code changes, and deliver compliance monitoring as a managed service. This course covers integrating Vaultak with LangChain and CrewAI stacks, configuring risk scoring policies, and building client dashboards that prove agent safety in production.
Open the courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Liability CeilingConcept
Liability Ceiling is the maximum exposure an agency accepts when it sells security as an outcome rather than as a process. Every retainer that promises "we will keep you secure" converts an evolving attack surface into a contractual obligation the agency cannot fully control. The framework asks one question before signing: what is the worst-case dollar figure if this control fails, and who pays it? Agencies that sell detection, monitoring, and documented response steps cap their exposure at labor and tooling cost. Agencies that sell guarantees inherit the breach. A documented case from September 2026 shows a vibe-coded client app with exposed API keys generating a $4,000+ unauthorized usage bill, small enough to absorb but proof that the failure mode is financial, not theoretical. Set the ceiling in the statement of work: name the controls in scope, the review cadence, and the response time, then price the retainer against that scope instead of against an outcome you cannot underwrite.
- Blast Radius BudgetConcept
Blast Radius Budget treats every automated workflow as a spend of trust: the more autonomy an agent gets, the smaller the radius of damage it must be able to cause before a human checkpoint fires. Agencies scope security not by counting tools but by mapping what each automation can touch (client CRM records, ad accounts, production repos, payment keys) and capping the worst-case outcome. A workflow that drafts copy can run unattended; one that sends client-facing email or rotates credentials cannot. The budget is set per client, per retainer tier, and reviewed when scope expands. The failure mode is real: exposed API keys in AI-built client apps have produced bills above $4,000 from unauthorized calls, a cost that lands on the agency's invoice and reputation, not the model vendor's. Pair the budget with runtime controls such as Vaultak's action interception or Cogent's attack-path mapping so the cap is enforced, not just documented.
- Trust Premium DecayConcept
Trust Premium Decay treats every security promise an agency makes as a depreciating asset rather than a fixed credential. A SOC 2 badge, an encrypted client portal, or a clean scan earns trust at signature, then loses value as attack surfaces change and the evidence behind the claim ages. Agencies that re-verify on a cadence keep the premium; those that coast on a one-time audit watch it erode quietly until an incident reprices the whole retainer. The framework forces a simple question at renewal: what did we prove this quarter, and when? A concrete example sits in the $4,000+ API bills traced to exposed keys in AI-built client apps, where a single leaked credential converts a trust asset into a liability line item overnight. Pairing periodic re-verification with incident response keeps the premium compounding instead of decaying.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Security Tools Rule: Price the Liability Before You Price the RetainerEvaluation Rule
Split every security engagement into a fixed-fee detection and hardening deliverable plus a separately contracted advisory layer, and never let a retainer contract contain the words guaranteed, secure, or protected without a written scope boundary.
- When Client Workflows Run Autonomous Agents, Gate the Actions Before You Sell the RetainerEvaluation Rule
Buy the enforcement layer first and the detection layer second, because a tool that can block or reverse an agent action is worth more to a retainer than one that only files a finding.
- Security Tools Decision: Proactive Threat Modeling Retainer vs Reactive Incident ResponseDecision Framework
IF your agency already holds recurring access to client infrastructure, repositories, or marketing data pipelines, THEN sell a proactive threat-modeling retainer that bundles vulnerability scanning, secret hygiene, and access review into the existing monthly scope. IF clients only call after a breach, a leaked key, or a compliance questionnaire lands, THEN keep security as a reactive, project-priced incident response engagement and avoid promising continuous coverage you cannot staff.
- The Absolute-Security Trap: Why Security Tools Stall in Agency RetainersFailure Pattern
- The Scan-Once Trap: Why Security Tools Stall in Agency Delivery After the First ReportFailure Pattern
- Cogent vs Sentrint vs Vaultak (Where Agency Security Liability Actually Sits)Tool Comparison
These three sit at different layers, so the real decision is which layer your retainer already promises to defend. Cogent covers infrastructure attack paths, Sentrint covers the code your delivery team ships, and Vaultak covers the agents you now run on a client's behalf; buying all three before you have a written scope for each is how agencies end up carrying liability they never priced. Pick the layer where a breach would end the client relationship, instrument it, and treat the other two as expansion line items once the first is documented in the contract.
Delivery system
Blueprints and procedures for running it as a service.
- Proactive Threat Modeling and Incident Response Retainer (10-14 days)Implementation Blueprint
A productized security engagement that maps client attack paths, closes the highest-severity gaps, and leaves a documented incident response runbook the agency can operate on retainer.
- Pre-Engagement Security Scoping (Onboarding)Operating Procedure
- Agent Action Rollback Drill (QA)Operating Procedure
- Client Security Posture Handoff (Handoff)Operating Procedure
14 modules selected for Vaultak
Frequently Asked Questions
Answers about pricing, setup, implementation, and more
Vaultak is a runtime governance layer that monitors every action an AI agent takes, enforces policy-based rules before violations occur, and automatically reverses actions if policies are breached. It integrates with LangChain, CrewAI, AutoGen, LangGraph, and OpenAI Assistants without requiring code changes. Agencies use it to give clients audit trails, rollback capability, and compliance-ready agent deployments.
Vaultak offers 4 pricing tiers, starting at $49/mo (Pro) up to $299/mo (Business). Agencies typically achieve 49% profit margins when reselling to clients.
No verified white-label program. Client-facing monitoring dashboards and audit interfaces display the Vaultak brand. Agencies can embed Vaultak as a managed security service within their own client agreements, but the tool itself is not rebranded.
Yes. Vaultak has native integrations with both LangChain and CrewAI, as well as AutoGen, LangGraph, AutoGPT, and OpenAI Assistants. Integration is runtime-level, meaning agencies configure Vaultak at the agent initialization layer without modifying agent logic.
Setup time depends on the client's agent architecture. Vaultak requires runtime-level integration, typically 30 minutes to 2 hours for agencies to configure the governance layer once the parent account is established. Clients using standard LangChain or CrewAI patterns will see faster onboarding than those with custom agent frameworks.
Vaultak is best suited for AI development agencies building autonomous agents, security-focused agencies offering governance as a service, and agencies deploying agentic AI for clients in regulated industries (finance, healthcare, critical infrastructure) where audit trails and action reversal are compliance requirements.
Vaultak stops monitoring and enforcing policies on new agent actions. Audit logs remain accessible based on the plan's retention window (30 days for Pro, 90 days for Team, 1 year for Business). Agencies should export audit data before cancellation if long-term compliance records are required.
Yes. The Business plan supports up to 50 agents and includes SIEM integration for centralized monitoring. Agencies managing multiple client agents can consolidate alerts, audit logs, and policy violations into a single dashboard. The Enterprise plan offers unlimited agents and custom reporting configurations.