Veria Labs
Autonomous AI pentester that maps your attack surface, proves real exploits against staging, and opens fix PRs for review.
Veria is worth a serious look if you have CI/CD, a staging environment, and code you'd rather not get breached — the verified-exploit plus auto-PR loop is the part most static analyzers never deliver. Public evidence backs it: a Veria agent found a full proof forgery in Jolt, a16z's zkVM, in July 2026, and previously forged transactions on Aleo for a $65,000 bounty. The catch is the plumbing requirement — no Git hygiene and no staging, and the exploit-proof model loses its teeth. If you need a compliance artifact rather than an exploit, buy Semgrep or Snyk instead; if you want a report you can hand to an auditor, Veria is the wrong shape.
Verified 6d ago · liveness 53/100 · cite: rightaichoice.com/tools/veria-labs
- Engineering teams with CI/CD and a staging environment
- Startups without a dedicated security team
- Fintech and crypto teams with auth, payment or wallet logic
- Open-source maintainers wanting every PR reviewed for exploitable flaws
- Teams without a Git workflow, CI/CD pipeline or staging environment
- Compliance-only scanning or audit-evidence collection
- Teams with no engineer to review and merge the generated PRs
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Veria Labs if your code lives outside a real Git and CI/CD workflow with a staging environment — the exploit-proof step needs something to run against, and without it you're paying for another findings list you could get from a static analyzer.
Every finding ships as a pull request you have to review and merge, so the hidden line item is senior engineering time per fix — budget hours, not minutes, when a critical patch lands.
The site offers 'Get a demo' and we did not reach a pricing page on this run, so we can't compare Veria's cost against named peers such as Semgrep or Snyk. One data point from a named user: Mikerah of Stoffel Labs says a top security firm audit cost roughly six figures and Veria costs significantly less while finding the same bugs and more. Treat that as an anecdote from a documented user, not a rate card.
In short
Veria Labs — Autonomous AI pentester that maps your attack surface, proves real exploits against staging, and opens fix PRs for review. Best for Engineering teams with CI/CD and a staging environment, Startups without a dedicated security team, Fintech and crypto teams with auth, payment or wallet logic. Contact Sales pricing.
What's new in Veria Labs
Checked 6 days agoAcross the latest 2 updates: 2 news mentions.
Hacking a16z: Breaking Jolt and Dory
Veria's agent found a full proof forgery in Jolt, a16z's zkVM, with a companion technical breakdown covering the missing Dory commitments behind the exploit.
Forging Transactions on Aleo: A $65,000 Proof Forgery
How Veria AI found an arbitrary proof forgery in Aleo through a weak Fiat-Shamir transcript, disclosed as a $65,000 bug bounty.
What people actually say about Veria 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.
2 mentions across 2 sources (Hacker News, Lemmy) · researched Jul 3, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Founded by top-ranked US competitive hacking team — elite security expertise.
- +Y Combinator F25 backing adds credibility and growth resources.
- +Autonomous, continuous testing adapts to code changes in real time.
- +Generates proof-of-concept exploits, not just theoretical findings.
- +Integrates with Git repos and major cloud providers for broad coverage.
- −No meaningful community feedback available — trust relies on marketing.
- −Pricing is hidden — no free trial or public tier to evaluate.
- −Beginner skill level claim may oversimplify complex security findings.
- −Limited to AWS, GCP, Azure — excludes other cloud providers.
- −Autonomous exploitation could disrupt staging environments if aggressive.
- • Potential overage fees for large codebases or frequent scans
- • Professional services or onboarding may be charged separately
Viability Score
How well maintained and how widely used is Veria 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
- Autonomous vulnerability discovery across your codebase
- Proof-of-concept exploit generation for each finding
- Verified exploits run against your staging environment
- Auto-generated patches that open a PR with CI checks passing
- Security review on every pull request
- Inline fix suggestions left directly on the pull request diff
- Live findings feed ranked by exploitability
- Slack notifications for new findings
- Linear issue filing with status kept in sync
- Custom scope for specific repositories and cloud services
- GitHub, GitLab and Bitbucket repository support
- Cloud environment analysis for AWS, GCP and Azure
- Public vulnerability research and disclosure
About Veria Labs
Veria Labs runs an autonomous AI pentester for engineering-first teams that ship code daily and can't wait on an annual security review. It continuously maps your attack surface, finds the bugs reviews miss — SQL injection, IDOR, auth bypasses, logic flaws — and reports them in hours rather than weeks, as shown by its own demo where a SQL injection dumped 42,113 invoices and 1,204 orgs. The company comes out of what it calls the #1 US hacking team and is backed by Y Combinator; PostHog, Phantom, Tempo, Infisical, Stoffel, Pydantic, Atob, LiteLLM and Provable are named as users. What separates it from a scanner is the proof: every finding ships with a working exploit Veria actually ran against your staging environment, then it writes the patch and opens a PR with checks passing, leaving review and merge to you. Security review also runs on every pull request, with the Veria bot having reviewed and fixed code in public repos including PostHog/posthog, Infisical/infisical and BerriAI/litellm — catching a repository-root module shadowing flaw, an OAuth scope bypass on JWT-only routes, and credential leakage into spend logs. Findings post to Slack and file to Linear with status kept in sync, and one live feed ranks everything across repos by exploitability so you triage in the right order. Custom scope points it at specific repositories and cloud services. This is a fit for startups, fintech and crypto teams with a real Git and CI/CD workflow and a staging environment; it is not a compliance checkbox product, and teams without that plumbing won't get much out of it.
Behind the Verdict
Veria Labs sits in a different category from classic SAST. Semgrep and Snyk give you a rules-based list of suspicious lines; Veria's pitch is that a finding is worthless without a demonstrated exploit. Its homepage demo is explicit about this: the reported SQL injection is not a flagged query, it's a proof run that returned 42,113 invoices and 1,204 orgs from the staging environment. A separate live feed ranks every open finding across your repos by exploitability, so the critical rated SQL injection sits above an IDOR on webhook secrets and a rate-limit bypass from header spoofing. From there, Veria writes the patch — the demo shows an invoice export query parameterized — opens the PR with six checks passing, and leaves review and merge to a human. The strength that most distinguishes Veria is PR-level review. The homepage shows the Veria bot commenting inline on merged public pull requests: a repository-root module shadowing issue in PostHog/posthog where a root-level yaml.py could be imported over PyYAML and read GITHUB_TOKEN, an Infisical OAuth 2.0 fix where an AuthMode.OAUTH token was being accepted on JWT-only routes such as GET /api/v1/user/me/totp, and a LiteLLM MCP path-credential leak into spend logs. That is not a marketing screenshot; the fixes are linked to the real PRs. Findings post to Slack and file to Linear with status synchronised back, so the workflow stays in the tools your engineers already use. The weaknesses are structural. Three things stand out. First, the model only functions if you have Git and CI/CD hygiene and a staging environment the agent can run exploits against — that is a real up-front investment, and a team with no staging gets a report and no proof. Second, the output assumes a human reviews and merges a pull request; if nobody on your side can evaluate a patch, the auto-fix is just another queue. Third, the public research record shows the team can find hard bugs, but that record is in cryptography and zkVM territory, not evidence they will find your specific business-logic flaw — treat the demos as capability signals, not guarantees. The homepage also does not disclose which underlying models power the agent. On pricing, the site says only 'Get a demo' and we did not reach a pricing page, so we make no claim either way.
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Real-world workflow fit
Concrete scenarios for the personas Veria Labs actually fits — and what changes day-one when you adopt it.
Connect Veria to your repos and cloud scope on day one, let it run a first pass against staging, then let the PR review bot comment on new pull requests as they open.
Outcome: A ranked findings feed with working exploits, plus inline fix suggestions on incoming PRs your team can merge without leaving GitHub.
Point custom scope at the auth, payment and invoice repositories, review the exploitability-ranked feed each morning, and let Veria open fix PRs for the criticals while status syncs to Linear.
Outcome: Auth bypasses and injection flaws surface with proof rather than theory, and each fix arrives as a reviewable diff with CI checks passing.
Install the Veria bot on a public repository and let it review incoming pull requests the way it reviewed PostHog/posthog and BerriAI/litellm.
Outcome: Flaws such as repository-root module shadowing or credential leakage into logs get caught and described inline on the diff before merge.
Use Cases
- Continuously scan GitHub, GitLab or Bitbucket repositories for exploitable vulnerabilities.
- Generate a working proof-of-concept exploit against staging before a fix is written.
- Run security review on every pull request with fixes posted inline on the diff.
- Assess AWS, GCP or Azure configurations for misconfigurations and attack paths.
- Triage a cross-repo findings feed ranked by what is actually exploitable.
Limitations
- Veria's workflow assumes you already have a Git provider, a CI/CD pipeline, and a staging environment the agent can run exploits against — without them the verified-exploit model has nothing to prove against and you get a report rather than a demonstration.
- Patches arrive as pull requests, so a human still has to review and merge; teams with no one to evaluate a fix will just accumulate a review queue.
- Deployment is scoped through a demo request rather than a self-service account.
- Integrations shown on the site cover GitHub, GitLab, Bitbucket, Slack, Linear and cloud analysis for AWS, GCP and Azure.
- The homepage does not name the underlying AI models that power the agent, and we did not reach the docs pages this run, so we make no claims about API availability or documentation quality.
as of 2026-10-03
Verification history
We have re-verified Veria Labs 9 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-checked, vendor evidence unchanged
- — 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 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Veria Labs's pricing actually pencils out — and where peers do it cheaper.
The site offers 'Get a demo' and we did not reach a pricing page on this run, so we can't compare Veria's cost against named peers such as Semgrep or Snyk. One data point from a named user: Mikerah of Stoffel Labs says a top security firm audit cost roughly six figures and Veria costs significantly less while finding the same bugs and more. Treat that as an anecdote from a documented user, not a rate card.
Setup time & first value
How long it actually takes to get something useful out of Veria Labs — broken out by persona, not the marketing-page minute.
Startup with clean GitHub and staging: the expensive part is confirming the agent can run exploits against staging, then the first findings pass runs in the hours scale Veria advertises. Team with no staging: expect to spend days standing one up before the exploit-proof step works. Open-source maintainer on a public repo: a bot install on the repository is the fastest path to value.
Switching to or from Veria Labs
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From static SAST (Semgrep/Snyk): keep the rules-based scanner for lint-level coverage and add Veria for exploitability-ranked findings and auto-generated fix PRs.
- ↗To a compliance-evidence platform: move out if your actual need is an audit artifact rather than a demonstrated exploit and a patch.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Veria Labs”, and we withheld 6: 6 could not be judged, because “Veria 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 Veria Labs.
Official links
Tools that pair well with Veria Labs
Common stack mates teams adopt alongside Veria Labs, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
Veria Labs vs Push Security
Choose Push Security if you need to stop browser-based attacks (AiTM, session hijacking) and control employee AI tool usage across all browsers without forcing a migration. Choose Veria Labs if your priority is continuous, autonomous penetration testing of your code and cloud environments – especially for fast-moving engineering teams that ship frequently and want real vulnerabilities with exploit PoCs, not just SAST reports. They address completely different attack surfaces: end-user browser vs. application/cloud infrastructure.
Veria Labs vs Audioeye
Choose Veria Labs if you need continuous, autonomous security testing for code and cloud — especially if you ship fast and handle sensitive data. Choose AudioEye if your priority is web accessibility compliance to avoid lawsuits and meet ADA/WCAG standards. They serve entirely different needs: security vs. accessibility.
Veria Labs vs Sublime Security
Veria Labs specializes in autonomous AI pentesting for code and cloud, targeting security-conscious engineering teams with continuous vulnerability discovery and exploit generation. Sublime Security focuses on AI-driven email security against BEC and phishing, ideal for enterprise SOC teams needing low false positives. Choose Veria if your priority is application/cloud security with continuous scanning; choose Sublime if email threat detection is your main concern.
Alternatives to Veria Labs
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DeepZero
DeepZero is a YAML-orchestrated engine that hunts zero-days across massive Windows kernel driver corpora.
Mcp Shodan
Open-source MCP server that lets AI assistants like Claude Code query Shodan for device, DNS, and CVE data from your terminal.
Salt Security
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