perch vs Endor Labs
Side-by-side comparison of features, pricing, and ratings
perch or Endor Labs: which should you choose?
| Dimension | perch | Endor Labs |
|---|---|---|
| Pricing | Free | Freemium — self-serve Developer tier (local scanning, no account); paid enterprise tiers quote-only |
| Core job | Enforce your team's own semantic rules on a source tree | Verify and prioritize real, reachable vulnerabilities across code, containers, and AI agent actions |
| Rules authored as | Your own perch.yaml rules written in plain-language --ensure guarantees | Vendor-maintained policy engine + policy-as-code enforcement (allow/block/ask a human) |
| Agent-related scope | Reviews/gates code produced by Claude Code, Codex, Cursor | Governs agents themselves: inventories agents, models, MCP servers, skills; audit trail |
| Hosting / ops | CLI, findings stored locally in .perch; source sent to a third-party service for analysis | Platform deployed where your infrastructure runs; nothing installed in your cluster (container scanning) |
| CI gating | Exit code 3 fails CI jobs on breaking findings | Policy-as-code enforcement at the moment of action, with audit trail |
Semantic code linting: write custom plain-English rules for every pull request and catch AI-written bugs and security gaps.
Visit Website
Agentic application security that governs AI coding agents and cuts CVE noise with reachability analysis
Visit WebsiteWho should pick perch, and who should pick Endor Labs?
- Security team at a FedRAMP-bound enterprisePick: Endor Labs
FedRAMP 2026 rules make reachability analysis a requirement for vulnerability management; Endor Labs positions AURI's reachability engine as aligned.
- DevSecOps engineer drowning in SCA/SAST false positivesPick: Endor Labs
Data flow analysis plus reachability prioritization is the whole pitch — cut noise, then prove which findings are actually reachable.
- Platform team rolling out Cursor, Claude Code, and Codex internallyPick: Endor Labs
Inventory of agents, models, MCP servers, and skills with allow/block/ask enforcement and an audit trail is governance you can't build from a linter.
- Two-person TypeScript startup with project-specific review rulesPick: perch
Free, repo-committed perch.yaml rules scoped with --where "src/**/*.ts" and gated in GitHub Actions with exit code 3 — no vendor contract needed.
- Solo developer reviewing AI-generated PythonPick: perch
`perch scan --since origin/main` plus confidence-scored findings gives a cheap check on agent output without a hosted platform.
Frequently Asked Questions
Can I start using Endor Labs today without talking to sales?
Only the Developer tier, which does local scanning with no account required. Anything beyond that goes through a quote — its own 'not for' list flags buyers who need instant self-serve paid plans.
Does Perch need my source code to leave my machine?
Yes, analysis is done by a third-party service, which Perch lists as a disqualifier for codebases that can't send relevant source out. Findings themselves are stored locally in the .perch directory.
Can Perch replace Endor Labs' SCA or container scanning?
No. Perch scans a source tree for defects and security issues through rules you write. It has no software composition analysis, container image scanning, or reachability prioritization.
Do I have to write rules to get value from Perch?
Largely yes — Perch explicitly says it is not zero-config drop-in linting and that value depends on writing your own perch.yaml rules. Out of the box you get detection of things like off-by-one loops, MD5-hashed tokens, and unhandled nulls.
What happens to Endor Labs findings when a coding agent proposes a fix?
Its agentic remediation applies fixes while preserving logic, and policy-as-code can allow, block, or ask a human at the moment of action, with the decision recorded in an audit trail.
Can both run in the same pipeline?
Technically yes — Endor Labs integrates with GitHub Actions and CircleCI, and Perch fails CI jobs via exit code 3. But you'd be buying two different things: governed enterprise verification versus local custom-rule enforcement.
What else are perch and Endor Labs compared with?
These aren't competitors — they're different layers of the stack. If you want an AI assistant that writes and modernizes code inside your IDE with AWS-native security scanning and agentic tasks, pick
These are different purchases despite both being code security tools. Snyk DeepCode AI is a platform commitment: you get hybrid symbolic+ML detection, Agent Fix autofixes, context-aware prioritization
These two do not compete for the same budget, so there is no head-to-head winner. If your problem is adversarial risk in production AI agents — shadow AI, guardrail bypasses, exploit-backed findings y
These are two different line items on the same engineering budget, and most teams adopting agents will eventually want both. Bito is the one that pays for itself only at scale — it needs multi-repo ag
These two will never appear on the same shortlist. If you're a lean IT team or an MSP trying to collapse endpoint, email, cloud, identity, network and data security into one agent and one console, Cor
Where can you read more about perch and Endor Labs?
Browse these categories
One email a week — new tools, honest comparisons, no spam.
Analysis generated by our model pipeline from live data: