Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Startup credits
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/Cybersecurity/Invariant Labs
Invariant Labs

Invariant Labs

Founded by Marc Fischer & Luca Beurer-Kellner & Martin Vechev in 2024

Inspect and secure autonomous AI agents in production

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Invariant Labs to secure and monitor artificial intelligence agents throughout their lifecycle. The system provides tools to inspect agent behaviors, analyze system traces, and ensure reliable execution. With its contextual guardrails, you can intercept unwanted outputs, prevent security risks, and safeguard automated interactions. It also includes vulnerability scanning for Model Context Protocol servers to identify potential exploits before deployment. Teams building autonomous agents can track operations, identify unexpected actions, and maintain strict control over how agents interact with external tools and private data.

What Invariant Labs does

Run security scans on MCP serversSet up contextual guardrails for AI modelsTrace execution paths of autonomous agentsDetect policy violations in agent responsesInspect incoming and outgoing agent promptsAudit tool integrations used by AI systemsInspect and trace agent execution stepsApply contextual security guardrails to AI agentsScan Model Context Protocol servers for vulnerabilitiesDetect malicious or unintended agent actionsAnalyze input and output data flowsAudit automated tool usage and API calls

Pricing breakdown

Pricing model: Book a demo

Frequently asked

SnykSnyk

Used by

Elena

Elena

AI Research Scientist @ CVVS

In their stack
J__Navarro

J__Navarro

SEO Specialist @ NavarroMD

In their stack

Want a tailored answer?

See whether Invariant Labs fits your stack.

Techbible weighs Invariant Labs against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare Invariant Labs

Search the catalog or pick a similar tool to compare pricing, features, and fit.

Or pick from similar tools

More in Cybersecurity

All tools →
Abnormal AI

Abnormal AI

Stop phishing attacks, account takeovers, and social engineering across enterprise email and identity environments

ACAIA

ACAIA

Manage regulatory compliance rules and audit requirements across banking operations

Accountable HQ

Accountable HQ

Manage HIPAA compliance, complete risk assessments, train staff, and organize business associate agreements

Acronis

Acronis

Protect systems from cyber threats and automate routine data backups across corporate endpoints

ADAM Aerospace

ADAM Aerospace

Verify and secure critical mission data across defense and space operations

Addigy

Addigy

Manage, monitor, and secure Apple devices across multiple organizations in real time

Adversa AI

Adversa AI

Monitor and block dangerous actions taken by coding agents in real time

Agency

Agency

Manage compliance programs and prepare for security audits

Invariant Labs, AI security, AI agent security, MCP scan, Model Context Protocol, agent guardrails, AI agent monitoring, agent observability, LLM security, prompt injection protection, agent behavior analysis, cybersecurity, Snyk, agent testing, security scanner