Endor Labs
AI-native agentic application security that blocks malicious code and reaches real vulnerabilities.
If you can't govern what your AI coding agents fetch or run, Endor Labs is the strongest option we've seen — its reachability engine cuts noise dramatically and the agent governance is genuinely different. Just know the paid tiers are sales-gated, so plan a demo for full platform access.
Verified 8d ago · liveness 82/100 · cite: rightaichoice.com/tools/endor-labs
- Security teams governing AI coding agents and MCP servers
- DevSecOps engineers overwhelmed by false positives from SCA/SAST
- Enterprises needing reachability-driven vulnerability prioritization
- Compliance-focused orgs needing audit trails for agent actions
- Small teams lacking dedicated security or DevOps resources
- Projects without CI/CD or automated pipelines
- Teams seeking instant self-serve paid plans (only free tier is self-serve)
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3 free scans · no card needed
Skip Endor Labs if you need a self-serve paid plan without sales interaction, or if your team lacks the bandwidth to configure policies and integrate with your CI/CD pipeline.
Core and Pro tiers are sales-gated, so you must talk to sales to get pricing; there's no self-serve upgrade path.
Endor Labs fits mid-to-large teams that need reachability and AI agent governance and are willing to engage sales. It's pricier than simple SCA tools like Snyk's self-serve plans, but cheaper than enterprise suites like Checkmarx when bundled. If you're a small team, the free Developer tier is a good start, but you'll need to budget for sales engagement to go beyond.
In short
Endor Labs — AI-native agentic application security that blocks malicious code and reaches real vulnerabilities. Best for Security teams governing AI coding agents and MCP servers, DevSecOps engineers overwhelmed by false positives from SCA/SAST, Enterprises needing reachability-driven vulnerability prioritization. Free to use.
What's new in Endor Labs
Checked 6 days agoAcross the latest 5 updates: 3 feature updates and 2 news mentions.
FedRAMP 2026 vulnerability rules make reachability a requirement
FedRAMP 2026 mandates reachability analysis for vulnerability management; Endor Labs aligns.
Customer Zero: Implementing Package Firewall at Endor Labs
Endor Labs deploys its own Package Firewall internally, detailing implementation.
GHSA-864f-rcv7-6rh4: Critical Type Confusion Vulnerability in isolated-vm
Critical type confusion in isolated-vm disclosed; Endor Labs provides analysis and mitigation.
C support for AI SAST now available
Endor Labs adds C language support for AI-powered static analysis (AI SAST).
CISO's Guide: Build vs Buy AI Code Security
Guide helps CISOs evaluate building vs buying AI code security solutions.
What people actually say about Endor Labs — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
30 mentions across 3 sources (Hacker News, YouTube, Lemmy) · researched Jul 31, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Reachability-driven prioritization cuts through scanner noise effectively.
- +Discovered real zero-days, including CVE-2026-55407 in Anthropic's buffa.
- +Provides verifiable evidence with data flow and call paths.
- +Contextual fixes preserve code logic, reducing manual effort.
- +Strong integration with GitHub and CI/CD pipelines.
- −Sparse community feedback makes independent validation difficult.
- −Pricing for Core/Pro tiers lacks transparency in public discussions.
- −Full platform complexity may require dedicated security expertise.
- −Concern about support quality after Microsoft integration.
- −Limited learning resources compared to more mature competitors.
- • Potential overage charges for high volume scans or policy checks
- • Enterprise support or advanced compliance features may require annual contracts
- • Additional cost for integrations with cloud marketplaces or specialized features
Viability Score
How well maintained and how widely used is Endor Labs? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- AI SAST with data flow analysis to cut up to 95-97% of false positives
- Reachability-based software composition analysis (SCA)
- Secrets detection before commit
- AI security review in PRs
- Container image scanning with reachability
- Package Firewall that blocks malicious packages at install
- Agentic remediation that applies fixes while preserving logic
- AI coding agent governance — inventories agents, models, MCP servers, skills
- Policy-as-code with action enforcement and audit trail
- MCP server and CLI for Cursor, Claude Code, Codex, VS Code, Copilot
- Free Developer tier with local scanning
- SBOM management and compliance mapping (FedRAMP, PCI DSS, SOC 2, ISO 42001, CRA)
- CI/CD security and artifact signing
- Patches as drop-in replacements for vulnerable libraries
About Endor Labs
Endor Labs is an AI-native application security platform built for DevSecOps teams and enterprises that need to secure both the code they write and the AI agents that write it. The core engine, AURI, uses deterministic program analysis and data flow tracing to verify every finding, slashing up to 95-97% of false positives from SAST and SCA tools. For teams adopting AI coding agents, AURI acts as a governor, inventorying every agent, model, MCP server, and skill, then enforcing policy before any action runs — with a full audit trail. It covers the full lifecycle: AI SAST for code scanning, reachability-based software composition analysis, secrets detection pre-commit, container image scanning without cluster installation, and a Package Firewall that blocks malicious packages at install. The platform also offers agentic remediation that applies fixes while preserving logic, and pre-built workflows handle triage and remediation across your codebase. It runs on your infrastructure, is read-only by default, and every change is approval-gated. The free Developer tier lets individual developers scan and fix vulnerabilities locally with read-only access to data, no account required — a low-risk entry point. Paid tiers (Core and Pro) add policy enforcement, enterprise integrations, reporting, and secrets management across teams. You can buy through AWS, Azure, or Google Cloud marketplaces or start a demo. Endor Labs differentiates by integrating deeply with AI workflows — its MCP server plugs into Cursor, Claude Code, Codex, VS Code, and Copilot — and by addressing supply chain risks like the recent NPM malware in keyv/cacheable, which they researched. It’s built for the AI era, not as a legacy scanner bolted onto your pipeline.
Behind the Verdict
Endor Labs earns its keep when your team is living in the AI coding era — Cursor, Claude Code, Codex, and MCP servers everywhere. The agent governance angle is the real differentiator; it inventories every agent and skill, enforces policy at the action level, and gives you an audit trail that most security teams can't get from point tools. If that's your world, this is a strong pick. The reachability engine is just as important. It cuts the alert noise so your team doesn't drown in CVEs that can't actually be exploited in your code. That means fewer security tickets, faster remediation, and a DevSecOps team that isn't the bottleneck. 97% noise reduction is a claim, but the underlying approach — data flow tracing instead of pattern matching — is credible. Where it bites: paid tiers are sales-gated. There's no self-serve Pro plan you can buy with a credit card. For a small team that just wants a quick SCA fix, that friction is real. The Developer free tier is genuine, but it's read-only and no UI, so you won't get policies or scan history without talking to sales. Compared to Snyk or Checkmarx, Endor Labs is purpose-built for the AI era. It's not a legacy scanner with AI features bolted on; the agent governance and MCP integration feel native. But if you're not using AI coding agents heavily, the agent-specific features may be wasted on you, and you'd be paying for capabilities you don't use. In practice, I'd reach for Endor Labs when you're scaling agent usage across your org and can't answer for what they're doing. The zero-day in Anthropic's buffa library shows it's not just marketing — it found something real. For teams on legacy, on-prem-only stacks, though, the cloud-native, agent-centric focus will leave you wanting.
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Real-world workflow fit
Concrete scenarios for the personas Endor Labs actually fits — and what changes day-one when you adopt it.
Ensure AI-generated code is secure and enforce policy before agent actions
Outcome: Set up AURI with GitHub Copilot to inventory all agents and MCP servers, enforce a policy that blocks malicious packages and flags secrets, and receive an audit trail of every agent action. Within a day, you can see a reduction in risky AI-generated code and a centralized view of your agent supply chain.
Reduce false positives from SCA and focus on reachable vulnerabilities
Outcome: Configure reachability-based SCA to prioritize only exploitable CVEs. Combined with agentic remediation, developers fix real risks 70% faster. The audit trail and compliance mappings help with FedRAMP and SOC 2 audits.
Try the platform without commitment
Outcome: Download the Developer tier, run local scans on your code with AURI via CLI or MCP, and get immediate feedback on vulnerabilities and secrets—no account needed. This low-risk trial lets you decide if the platform is worth proposing to your team.
Use Cases
- Scan first-party code for vulnerabilities and exposed secrets with AI-powered triage.
- Analyze open source dependencies to prioritize only reachable, exploitable vulnerabilities.
- Block malicious or vulnerable packages before they enter development or CI pipelines.
- Generate SBOMs for compliance with CRA, FedRAMP, or PCI DSS.
- Set guardrails and policies for AI coding assistants to prevent insecure code generation.
- Scan container images for reachable vulnerabilities before deployment.
- Perform AI security code review on every pull request.
- Use the free Developer tier for local scanning without account or UI.
Models Under the Hood
as of 2026-08-30
Limitations
- Endor Labs is an AI-native application security platform that focuses on reachability and prioritization of vulnerabilities.
- It offers a free Developer tier for local scanning with no account required, while Core and Pro tiers are available for scale and advanced features.
- Pricing for Core and Pro requires contacting sales, which may be a barrier for small teams.
as of 2026-08-24
Verification history
We have re-verified Endor Labs 17 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 17 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Endor Labs tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Developer
$0/mo
Core
Contact sales
Ideal for
Small to mid-size teams that need reachability analysis and policy enforcement to reduce noise and friction during development.
What this tier adds
Adds reachability, prioritization, policies, deeper scanning, enterprise integrations, and reporting vs Developer FREE.
Pro
Contact sales
Ideal for
Large teams or enterprises needing advanced features to detect, triage, and fix vulnerabilities across every application layer at scale.
What this tier adds
Adds advanced detection, triage, and fixing capabilities on top of Core, built for scale.
Where the pricing makes sense
The company stage and team size where Endor Labs's pricing actually pencils out — and where peers do it cheaper.
Endor Labs fits mid-to-large teams that need reachability and AI agent governance and are willing to engage sales. It's pricier than simple SCA tools like Snyk's self-serve plans, but cheaper than enterprise suites like Checkmarx when bundled. If you're a small team, the free Developer tier is a good start, but you'll need to budget for sales engagement to go beyond.
Setup time & first value
How long it actually takes to get something useful out of Endor Labs — broken out by persona, not the marketing-page minute.
For the free Developer tier: minutes—install the CLI or MCP server and scan locally. For teams: a few hours to a day to integrate with your CI/CD (GitHub Actions, CircleCI) and configure policies. For AI agent governance, add a day to inventory agents and set guardrails.
Switching to or from Endor Labs
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Snyk: Endor's reachability analysis and agent governance provide a more focused approach; use its API and CLI to scan your repositories and set up policies.
- ↗To Snyk: Export your SBOM and vulnerability data, then re-scan with Snyk's CLI to rebuild your dashboard.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Endor Labs
Common stack mates teams adopt alongside Endor Labs, with the specific reason each pairing earns its keep.
Pixee
Agentic security engineering platform that triages, fixes vulnerabilities, and ships PRs developers merge.
Cycode
Secure and govern AI-generated code from prompt to runtime with agentic development security.
Checkmarx
Agentic application security platform governing AI-generated code from creation to runtime.
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