Endor Labs
Agentic application security that governs AI coding agents and verifies reachable vulnerabilities before code ships
Two bets, both the right ones: govern what agents do at the moment they do it, then use reachability to keep phantom CVEs out of the backlog. Most competitors have picked one. Try the free local tier first, then treat Core or Pro as a scoped team rollout — and expect to write real policies, which takes security engineering time.
Verified 23h ago · liveness 82/100 · cite: rightaichoice.com/tools/endor-labs
- Security teams that need an inventory of every coding agent, model, MCP server and skill in use
- DevSecOps teams whose SCA and SAST backlog is mostly unreachable-CVE noise
- Enterprises that need a recorded audit trail for each agent action, not just a scanner
- Compliance programs targeting CRA (first provisions live September 11, 2026), FedRAMP, ISO 42001, PCI DSS or SOC 2
- Solo developers or small teams with no security engineering capacity to author and maintain policies
- Projects with no CI/CD or automated build to hook into
- Organizations unwilling to run scanning and remediation on their own infrastructure
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Skip Endor Labs if you want a standalone rule-based scanner and nothing more, or if no one on your team can own policy for coding agents — the governance half of the platform is the part you're paying for.
The free Developer tier has no UI, policies, or scan history, so the moment you need team reporting or an audit trail you are moving to a paid Core or Pro conversation.
The pricing ladder starts at a free Developer tier for individual scanning inside Cursor, Claude Code, Codex or VS Code, then jumps to Core and Pro team editions sold through a Get started conversation, with per-product pricing for Code, Open Source, AI Coding Agent Governance, Package Firewall, Patches and SBOM Hub. That puts it above cheap scanner-only tools and alongside enterprise AppSec platforms rather than developer-seat tools; AWS, Azure and Google Cloud Marketplace procurement is
In short
Endor Labs — Agentic application security that governs AI coding agents and verifies reachable vulnerabilities before code ships. Best for Security teams that need an inventory of every coding agent, model, MCP server and skill in use, DevSecOps teams whose SCA and SAST backlog is mostly unreachable-CVE noise, Enterprises that need a recorded audit trail for each agent action, not just a scanner. Free to use.
What's new in Endor Labs
Checked 3 days agoAcross the latest 3 updates: 3 news mentions.
Endor Labs benchmarks Opus 5.5 in Claude Code: fastest and cheapest Anthropic run, 33.5% secure code
Endor Labs' coding-agent benchmark reports Opus 5.5 in Claude Code finishing tasks in a median 2.2 minutes at $116 total — 6x cheaper and 2x faster than Fable 5.1 — while only 33.5% of generated code was secure.
Endor Labs publishes engineering work on a security harness for AI coding agents
Endor Labs detailed an engineering approach to a security harness for AI coding agents, extending its agentic remediation work.
Endor Labs posts guidance on the first EU Cyber Resiliency Act provisions taking effect September 11
Endor Labs published readiness guidance as the first stage of the EU Cyber Resiliency Act took effect on September 11, 2026.
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: October 2026
How we score →Key Features
- AI coding agent governance: inventory every agent, model, MCP server and skill
- Policy enforcement at the moment of action — allow, block or ask a human — with recorded audit trail
- Learns architecture from AGENTS.md, CLAUDE.md, design docs and custom prompts
- AI SAST with dataflow tracing across repos and PRs to cut up to 95% of false positives
- AI security review in pull requests for missing auth, removed OAuth state params, new PII collection
- Secrets detection before the commit with one policy from laptop to pipeline
- Reachability-based software composition analysis so unreachable CVEs stay out of the backlog
- Container image scanning with code-to-image reachability, nothing to install in your cluster
- Package Firewall blocks vulnerable and malicious packages before install on dev machines or CI
- Agentic remediation applies fixes with codebase context, approval-gated and read-only by default
- SBOM Hub manages first- and third-party SBOMs with compliance reporting
- Compliance mapping for CRA, FedRAMP, ISO 42001, PCI DSS and SOC 2
- Patches as drop-in replacements for vulnerable open source libraries with backported fixes
- MCP server and CLI installable in Cursor, Claude Code, Codex, VS Code/Copilot and Antigravity
- CI/CD security and artifact signing
About Endor Labs
Endor Labs is an application security platform built around AURI, an agentic engine that combines deterministic program analysis with dataflow tracing so findings get verified instead of queued. The claim, published by the vendor itself, is that this removes up to 95% of the false positives that traditional SAST and SCA tools generate. It covers both the code your engineers write and the code their agents write. AURI inventories every coding agent, model, MCP server and skill in use, learns your architecture from files like AGENTS.md and CLAUDE.md, then checks each agent action against policy — allow, block, or ask a human — and records the decision. Around that sit AI SAST across repos and pull requests, secrets detection before the commit, reachability-based SCA, container image scanning with code-to-image reachability, Package Firewall blocking malicious packages at install, SBOM Hub with CRA/FedRAMP/ISO 42001/PCI DSS/SOC 2 mapping, and approval-gated agentic remediation that runs on your own infrastructure. The developer side is free: add the MCP server to Cursor, Claude Code, Codex, VS Code with Copilot, or Antigravity with a one-line install, and AURI scans and fixes vulnerabilities and exposed secrets locally, no account needed. Team functionality — reachability, prioritization, policy enforcement, reporting — comes in Core and Pro editions, with product-level pricing for Code, Open Source, AI Coding Agent Governance, Package Firewall, Patches and SBOM Hub, and procurement through AWS, Azure and Google Cloud Marketplaces. Its own published benchmark is the strongest argument for buying it: in Endor Labs' coding-agent evaluation, Opus 5.5 inside Claude Code finished tasks in a 2.2-minute median at $116 total — 6x cheaper and 2x faster than Fable 5.1 — while only 33.5% of the generated code came out secure. Alternatives split into legacy SAST/SCA suites with deep scanner coverage but no agent governance, and newer agent-governance tools lighter on code and
Behind the Verdict
Start with the failure mode Endor Labs is selling against, because it is credible. Coding agents install dependencies, write endpoints, and touch credentials with privileged access, and the security team usually cannot say what any of them did last week. That is an inventory and policy problem before it is a scanner problem, and AURI's answer — check every action, allow, block or escalate, keep the record — is the shape a control needs to take. Where we would reach for it: an org already running agents in more than one editor, a DevSecOps team drowning in unreachable-CVE tickets, or a compliance program that has to show something to a CRA, FedRAMP or ISO 42001 auditor. Reachability filtering across SCA and container images is the feature that pays for itself fastest, since it shrinks the backlog rather than adding a second queue next to it. Where it bites: this is not a set-and-forget product. Someone has to author and maintain the policies, read the alerts, and tune the escalation rules. If you have no security engineer who owns AppSec, the governance layer will sit idle and you have bought an expensive scanner. Nor is it the place to look if you only want signature-based SAST and never intend to let agents near your repos. On cost: the developer harness is free and local with no account, which makes evaluating it genuinely low-risk. Anything team-wide is a conversation, and pricing is broken out per product — Code, Open Source, AI Coding Agent Governance, Package Firewall, Patches, SBOM Hub — so budget by module rather than assuming one platform number. Bundling through AWS, Azure or Google Cloud Marketplace is available if procurement prefers it. Closest alternatives in practice are incumbent SCA/SAST suites that added an AI dashboard, or agent-governance
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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.
Hooks Endor Labs into GitHub Actions so every pull request gets dataflow-traced AI SAST and reachability-based SCA, then checks whether the day's findings include anything the app can actually reach.
Outcome: Unreachable CVEs stop entering the backlog and the team spends sprint time on exploitable issues instead of triaging phantom findings.
Registers the AURI MCP server in each agent, inventories every agent, model, MCP server and skill, writes policy once against AGENTS.md and CLAUDE.md context, and lets AURI allow, block, or escalate each action.
Outcome: Malicious packages are blocked at install and leaks are flagged before commit, with an audit trail for every agent action rather than a post-hoc code review.
Uses SBOM Hub to ingest first- and third-party SBOMs and map findings to CRA, FedRAMP, ISO 42001, PCI DSS and SOC 2 controls.
Outcome: Compliance evidence is generated from the same scan data the engineering team already produces, instead of a separate reporting exercise.
Use Cases
- Scan first-party code and business logic 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 land on developer machines or in CI.
- Generate and manage SBOMs for CRA, FedRAMP, or PCI DSS compliance.
- Set guardrails on AI coding agents and MCP servers so insecure generation is stopped at the action, not in review.
- Scan container images for reachable vulnerabilities before deployment without cluster-side agents.
- Run AI security review on every pull request for architectural risks rule-based scanners miss.
- Use the free Developer tier to scan and fix locally inside Cursor, Claude Code, Codex, or VS Code.
Models Under the Hood
as of 2026-10-22
Limitations
- Core and Pro are team editions sold through a Get started conversation, so evaluating the full platform means an evaluation cycle rather than an instant signup; procurement can also run through the AWS, Azure, or Google Cloud Marketplace.
- The free Developer tier is deliberately narrow — local scanning, read-only access to Endor Labs vulnerability data, and no UI, policies, or scan history — which makes it an evaluation path rather than a team deployment.
- The platform is also sold as separate products (Code, Open Source, AI Coding Agent Governance, Package Firewall, Patches, SBOM Hub), so full coverage means bundling and a custom quote.
- Reachability and dataflow analysis take time to tune against a large legacy codebase before the false-positive reduction shows up.
- Teams without CI/CD pipelines or dedicated security ownership will extract less value than the platform promises.
as of 2026-10-10
Verification history
We have re-verified Endor Labs 20 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 20 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
Ideal for
Individual developer or security engineer who wants to scan and fix vulnerabilities and exposed secrets locally inside Cursor, Claude Code, Codex or VS Code with no account.
What this tier adds
Free entry point: local scanning and read-only access to Endor Labs vulnerability data, with no UI, policies, or scan history.
Core
Contact sales
Ideal for
Engineering teams with a CI/CD pipeline that need policy enforcement for both developers and agents and want to cut triage noise during development.
What this tier adds
Adds reachability-based prioritization, policy enforcement for developers and agents, deeper scanning than the free Developer tier, and enterprise integrations.
Pro
Contact sales
Ideal for
Security and engineering organizations running large application estates that need full reporting and workflow features across every application layer.
What this tier adds
Adds scale-oriented capability on top of Core: advanced detection, triage, and fixing across every application layer plus full reporting and workflow features.
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.
The pricing ladder starts at a free Developer tier for individual scanning inside Cursor, Claude Code, Codex or VS Code, then jumps to Core and Pro team editions sold through a Get started conversation, with per-product pricing for Code, Open Source, AI Coding Agent Governance, Package Firewall, Patches and SBOM Hub. That puts it above cheap scanner-only tools and alongside enterprise AppSec platforms rather than developer-seat tools; AWS, Azure and Google Cloud Marketplace procurement is
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 — add the AURI MCP server to Cursor, Claude Code, Codex, VS Code/Copilot or Antigravity (one click in Cursor, or a single npx command), and scans run locally with no account. For Core or Pro: budget days to a few weeks, since you are provisioning via a Get started conversation, wiring CI/CD and repos, and tuning reachability and agent policy before results are
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 legacy rule-based SAST: run Endor Labs AI SAST alongside it on the same PRs and compare findings before retiring signatures.
- →From standalone SCA tools: point the GitHub App at the same repos and switch triage to reachability-based prioritization so only reachable CVEs reach the backlog.
- →From a secrets-scanning point solution: consolidate onto one policy that runs from the laptop through the pipeline.
- →From manual SBOM spreadsheets: move first- and third-party SBOMs into SBOM Hub and map them to CRA, FedRAMP, ISO 42001, PCI DSS and SOC 2 controls.
- ↗To a scanner-only tool: keep the CI/CD hooks and drop agent governance, but you lose the per-action audit trail.
- ↗To a platform bundling AppSec with cloud posture: expect to rebuild reachability tuning against the new engine's dataflow model.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Endor Labs”, and we withheld 6: 6 could not be judged, because “Endor Labs” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Endor Labs.
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.
Snyk
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Poolside AI
Poolside builds open-weight agentic coding models — Laguna XS 2.1 (33B) and Laguna S 2.1 (118B) — for code that stays inside your security
Cycode
Agentic development security platform that puts guardrails around AI-written code and remediates findings with agents
Featured Head-to-Head Comparisons
Alternatives to Endor Labs
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Frequently Asked Questions
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