Endor Labs
AI-native application security with reachability analysis for developers
Endor Labs is a serious contender for teams drowning in false positives from traditional SCA tools. Its reachability analysis is genuinely effective at cutting noise, and the AI-driven fix suggestions save developer time. However, the paid tiers require contact sales, and smaller teams may find the policy setup overhead daunting if they lack dedicated security ops.
Verified 17d ago · liveness 95/100 · cite: rightaichoice.com/tools/endor-labs
- Teams using AI coding agents needing independent security verification
- DevSecOps teams overwhelmed by false positives from traditional SCA
- Organizations requiring reachability-based vulnerability prioritization
- Compliance-heavy environments (FedRAMP, PCI DSS, SOC 2) wanting audit-ready evidence
- Small teams without a dedicated security or DevOps role to configure policy-as-code
- Projects that do not use CI/CD or automated pipelines
- Organizations seeking a free or open-source security scanner
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3 free scans · no card needed
Skip Endor Labs if you need a free, self-hosted security scanner with no CI/CD pipeline integration.
Core and Pro tiers require contacting sales; no listed prices, so budget unknown until quote.
Endor Labs' freemium model (free Developer tier) suits individual evaluation, but teams must contact sales for Core/Pro. Compared to Snyk (which offers transparent per-developer pricing) or GitHub Advanced Security (bundled), Endor Labs' opaque pricing may favor enterprises that can negotiate custom deals. Smaller teams may find the lack of self-serve upgrade a barrier.
In short
Endor Labs — AI-native application security with reachability analysis for developers. Best for Teams using AI coding agents needing independent security verification, DevSecOps teams overwhelmed by false positives from traditional SCA, Organizations requiring reachability-based vulnerability prioritization. Free to use.
What's new in Endor Labs
Checked 16 days agoAcross the latest 5 updates: 5 news mentions.
Endor Labs’ AI SAST Finds Zero Day Memory-Amp DoS in Anthropic’s buffa library
AI SAST discovered CVE-2026-55407, a 22x memory amplification DoS in Anthropic's buffa protobuf decoder.
Open source can't be patched at Mythos-scale alone (so we're starting today)
Endor Labs announces initiative to help patch open source at scale beyond maintainer capacity.
AppSec was built to find problems. The Mythos era demands you fix them, fast.
Blog discusses need for AppSec to shift from finding issues to fixing them quickly in Mythos era.
Claude Fable 5, take two: same model, different harness, and a very different result
Revised evaluation of Claude Fable 5 shows different results under a different harness.
Claude Fable 5: Mythos-grade hype, record cheating, and a few hall-of-fame entries
Initial evaluation of Claude Fable 5 notes record cheating and hall-of-fame entries amid hype.
Viability Score
How likely is Endor Labs to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- AI SAST with native detection and triage
- Reachability-based SCA for direct and transitive dependencies
- Secrets detection and validation
- AI security code review for pull requests
- Malware prevention in open source dependencies
- Container reachability scanning
- Exploitability analysis for risk prioritization
- Contextual fixes that preserve code logic
- Policy-as-code for AI coding agents
- Audit-ready evidence for compliance
- Accelerated compliance mapping (FedRAMP, PCI DSS, SOC 2)
- Full-stack reachability analysis
- Agentic reasoning combined with program analysis
- Integration via Hooks, Skills, MCP, or CLI
- Dashboard for risk and security posture monitoring
About Endor Labs
Endor Labs is an AI-native application security platform that combines agentic reasoning with deterministic program analysis to deliver accurate, actionable security insights. It reduces noise by up to 97.5%, focusing only on reachable vulnerabilities, and provides contextual fixes that preserve code logic. Trusted by teams at Atlassian, Microsoft, and Astronomer, the platform covers AI code security, software supply chain security, secrets detection, container scanning, and compliance. Key features include AI SAST with native detection and triage, reachability-based SCA (including transitive dependencies), AI security code review for pull requests, secrets detection with validation, malware prevention in open source dependencies, container reachability scanning, exploitability analysis, and contextual fix suggestions. Additionally, Endor Labs offers a package firewall, patch management, SBOM hub, and agent governance for AI coding agents. Its AURI engine decouples code generation from security verification, integrating with agents via Hooks, Skills, MCP, or CLI. Unlike traditional scanners reliant on heuristics, Endor Labs provides verifiable, reproducible evidence for every finding. The platform offers a free Developer tier (no account required) with local scanning, and paid Core and Pro tiers with deeper scanning, policy enforcement, and enterprise integrations. It was named a Visionary in the 2026 Gartner Magic Quadrant for Software Supply Chain Security and is available through AWS, Azure, and Google Cloud marketplaces.
Behind the Verdict
Endor Labs targets a specific pain point: security tools that generate too many irrelevant alerts, slowing development. Its reachability analysis — tracing whether a vulnerability is actually callable in your application — is the star feature, often reducing alert volume by 97% or more. The AI SAST and code review capabilities are also strong, catching flaws that traditional static analyzers miss. The tool integrates well with CI/CD pipelines (GitHub Actions, CircleCI) and coding agents via MCP, making it easy to adopt for modern DevSecOps workflows. That said, Endor Labs isn't a plug-and-play solution. The free Developer tier is limited to local scanning and gives only a taste of the platform. To get the full value — policy enforcement, compliance reporting, team workflows — you need the Core or Pro tier, both of which require contacting sales for pricing. This opacity can be frustrating for small teams or individual developers comparing costs upfront. The closest alternative is Snyk, which offers a similar reachability feature in its SCA but with more transparent pricing tiers. Snyk also has a larger ecosystem of integrations and a free tier for open-source projects. Endor Labs' edge is its AI-native design and tighter integration with AI coding agents — it's built for the agent era. Where it bites: if your organization relies on on-premises infrastructure without modern CI/CD, or if you don't use automated pipelines, you'll miss most of its value. Also, the product is evolving fast; expect frequent updates and occasional feature instability. For DevSecOps teams with mature pipelines and a tolerance for agent-driven security, Endor Labs is a strong pick. For small teams wanting a free, open-source scanner with no sales call, it's not the right fit.
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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.
Set up reachability-based SCA for a Node.js monorepo to reduce CVE backlog.
Outcome: Scans dependencies, filters out unreachable vulnerabilities, and generates a prioritized list of fixes within minutes.
Configure policy-as-code via MCP to prevent insecure code generation by the agent.
Outcome: Agents respect security policies, reducing insecure code commits by 83%.
Generate an SBOM for a new release to meet PCI DSS requirements.
Outcome: Endor Labs produces an audit-ready SBOM with reachability evidence, cutting compliance preparation time.
Use Cases
- Scan your 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 from entering your development environment or CI pipeline.
- 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.
Models Under the Hood
as of 2026-07-05
Limitations
- Endor Labs focuses on AI-native application security, with an emphasis on reachability and exploitability analysis.
- The platform is intended for developer teams, and some advanced features are only available on paid tiers.
- Pricing details require contacting sales, which may be a barrier for small teams.
as of 2026-06-25
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 FREE
$0/mo
Ideal for
Individual developer wanting to scan AI-edited code locally with no account or commitment.
What this tier adds
Free entry point with local scanning only; no UI, policies, or scan history.
Core
Contact sales
Ideal for
Small teams needing reachability prioritization and policy enforcement to reduce noise.
What this tier adds
Adds reachability analysis, policy enforcement, enterprise integrations, and reporting.
Pro
Contact sales
Ideal for
Large organizations requiring full-stack detection, agentic remediation, and advanced triage.
What this tier adds
Includes advanced detection, triage, agentic remediation across all application layers.
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' freemium model (free Developer tier) suits individual evaluation, but teams must contact sales for Core/Pro. Compared to Snyk (which offers transparent per-developer pricing) or GitHub Advanced Security (bundled), Endor Labs' opaque pricing may favor enterprises that can negotiate custom deals. Smaller teams may find the lack of self-serve upgrade a barrier.
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 a developer using the free tier, AURI for Developers works locally with no account—value in minutes. For a team integrating Core/Pro, expect 1-2 hours to connect CI/CD pipelines and configure policies. Full rollout with compliance mapping may take a few days.
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: export SBOM or use CLI to point at existing manifests; Endor Labs will re-scan with reachability analysis.
- →From GitHub Dependabot: disable Dependabot and point Endor Labs at your repositories; migration usually under a day.
- ↗To Snyk: export vulnerability data via API; manual reconfiguration of policies required.
- ↗To GitHub Advanced Security: disable Endor Labs integrations; code scanning alerts can be imported via SARIF.
Integrations
Resources & Guides
Tutorials & Learning
Official links
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Common stack mates teams adopt alongside Endor Labs, with the specific reason each pairing earns its keep.
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