RunSybil
AI-powered offensive security platform for continuous penetration testing
For teams with serious security budgets and a culture of shipping fast, RunSybil replaces the pentest-then-wait cycle with continuous, AI-driven validation. It's a genuine upgrade over scanners and traditional pentests, especially for CTEM Phase 4. But the lack of transparent pricing will freeze out smaller shops — if you're not ready for an enterprise commitment, start with a demo.
Verified 6d ago · liveness 66/100 · cite: rightaichoice.com/tools/runsybil
- High-risk application security testing for systems handling customer data, transactions, and access control
- Continuous attack surface monitoring for fast-moving development teams shipping multiple times per day
- Multi-tenant SaaS providers needing deep business logic and authorization testing
- Security teams implementing CTEM programs that need Phase 4 validation of exposures
- Small teams with tight budgets, as pricing is enterprise-focused and not transparent
- Organizations that only need simple vulnerability scanning without adversarial reasoning
- Teams that prefer periodic manual pentests with human creativity for niche edge cases
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Skip RunSybil if you are a small team with a limited security budget, need a simple vulnerability scanner without deep adversarial reasoning, or cannot afford enterprise-level pricing.
RunSybil's pricing is contact-based, so you won't see exact costs until you engage with sales; expect enterprise-level fees that may be prohibitive for smaller teams.
RunSybil is positioned for security-serious enterprises with dedicated budgets. Its pricing is opaque and likely enterprise-level, so it's best for organizations that can afford premium continuous testing. Compared to cheaper periodic pentest services or bug bounty platforms, RunSybil offers continuous coverage and pre-validated findings, justifying a higher price for those who need it.
In short
RunSybil — AI-powered offensive security platform for continuous penetration testing. Best for High-risk application security testing for systems handling customer data, transactions, and access control, Continuous attack surface monitoring for fast-moving development teams shipping multiple times per day, Multi-tenant SaaS providers needing deep business logic and authorization testing. Contact Sales pricing.
What's new in RunSybil
Checked yesterdayAcross the latest 4 updates: 1 feature update, 1 changelog entry, 1 community discussion and 1 news mention.
A Recruiter's Guide to Vetting in the AI Era
RunSybil published an industry insights post on vetting candidates in the AI era. Editorial, not a product change.
Sybil Now Integrates with Linear
Sybil integrates with Linear to push, update and track security findings as tickets, removing manual copy-paste from remediation workflows.
Python Sandboxing is Still Broken by Design
RunSybil disclosed a Grafana Cloud IRM sandbox escape achieving code execution; Grafana fixed it in under 24 hours.
Runsybil Changelog: August 2026
August release: OWASP Top 10 coverage view, AI executive summaries, flexible credential setup, scheduled recurring tests, Markdown exports and change-based finding context.
What people actually say about RunSybil — 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.
7 mentions across 2 sources (YouTube, Lemmy) · researched Aug 4, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Automates continuous pentesting, reducing reliance on bug bounties.
- +Chains vulnerabilities across code, APIs, cloud, and infrastructure.
- +Provides feedback on every pull request, catching issues at commit level.
- +Validates findings, potentially cutting triage burden significantly.
- +Includes business logic testing for cross-tenant and privilege escalation.
- −Lack of real user reviews—unproven in production.
- −No transparent pricing; contact-sales only.
- −Potential false positives despite pre-validation claims.
- −Continuous scanning may disrupt DevSecOps workflows.
- −Requires deep stack visibility to be effective.
- • Potential per-seat or per-scan fees not disclosed
- • Integration setup may require consulting hours
Viability Score
How well maintained and how widely used is RunSybil? 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 adversarial reasoning across code, APIs, cloud, and infrastructure
- Continuous vulnerability chaining to find exploit paths
- Security feedback on every pull request
- Automatic re-evaluation of attack surface on each deployment
- Multi-tenant and business logic testing for auth issues
- Cloud and infrastructure security validation (IAM, container escapes, CI/CD secrets)
- OWASP Top 10 Coverage view
- AI-generated executive summaries
- Flexible credential setup
- Scheduled recurring tests
- Markdown report exports
- A/B testing funnel methodology for agentic AI systems
- Early access to advanced AI models like Opus 4.8
- Hierarchical AI agents to replace fragmented AppSec tools
- Change-based finding context
About RunSybil
RunSybil is an AI-powered offensive security platform that continuously tests applications and infrastructure for exploitable vulnerabilities. Instead of signature scanning, Sybil reasons like an elite attacker, chaining weaknesses across code, APIs, cloud, and infrastructure to surface only the attack paths that matter. This makes it a practical alternative to periodic pentests and bug bounties, giving security teams feedback on every pull request and re-evaluating the attack surface with each deployment. The platform is engineered for fast-moving development teams and security-serious organizations. It maps the entire stack, from code to cloud, to find vulnerabilities that only exist where components connect. Every code change triggers a targeted evaluation, catching issues at the commit level rather than after a breach. For organizations running Continuous Threat Exposure Management (CTEM) programs, Sybil delivers Phase 4 validation by continuously attacking applications and infrastructure, proving which exposures are actually exploitable. Recent updates demonstrate a strong focus on usability and transparency. The August 2026 changelog added an OWASP Top 10 Coverage view, AI-generated executive summaries, flexible credential setup, scheduled recurring tests, and Markdown report exports. RunSybil also published research showing it can reproduce top AIxCC results for just $600 using general AI models, positioning it as a cost-efficient alternative to traditional bug bounty programs. Backed by $40M from Khosla Ventures and founded by OpenAI's first security hire, RunSybil is built for high-risk applications, multi-tenant SaaS platforms, and teams that need continuous, predictable offensive security. Its funnel-based A/B testing methodology for agentic systems, early access to models like Opus 4.8, and hierarchical AI agents differentiate it from point-in-time pentests and vulnerability scanners. Pricing is not publicly listed; interested teams should contact
Behind the Verdict
Continuous AI pentesting is a real shift. RunSybil isn't a scanner that flags CVEs; it's an agentic system that reasons across your architecture, chaining small weaknesses into proof-of-exploit paths. That's why it targets recurring deployments instead of annual reviews — every PR triggers a re-evaluation, which is exactly the cadence modern engineering teams need. If you're running a CTEM program, this is the Phase 4 validation you've been missing. We'd reach for RunSybil when you're handling customer data, multi-tenant access, or complex business logic where cross-tenant authorization bugs hide. The platform tests these with adversarial reasoning, not signature matching, so it catches the issues that scanners miss. But don't confuse it with a simple SAST tool — it's designed for organizations that can invest in a security partner, not for hobbyists. The trade-off is cost and transparency. RunSybil doesn't publish pricing, and its AI-first approach means you're trusting a third-party AI system with deep access to your stack. That's fine for a mature security org, but if you need a budget-friendly self-serve scanner, this isn't it. Compared to bug bounty platforms, RunSybil is faster and more predictable. Instead of waiting for researchers to find something worth paying for, you get continuous, pre-validated results with zero triage burden. The $600 AIxCC experiment shows the cost-efficiency of AI-driven testing when models are accessible. One caveat: the platform is new and evolving. The August changelog shows useful additions like OWASP Top 10 coverage and export options, but you should confirm those features in a live demo. Also, integration with your CI/CD pipeline is essential — if your engineering workflow can't provide the access Sybil needs, it's not going
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Real-world workflow fit
Concrete scenarios for the personas RunSybil actually fits — and what changes day-one when you adopt it.
You need to ensure cross-tenant access and privilege escalation are tested continuously as you ship new features.
Outcome: RunSybil tests business logic on every deployment, catching broken authorization early and providing pre-validated findings you can act on immediately.
Your CTEM program has identified exposures but you need to validate which are actually exploitable.
Outcome: RunSybil executes Phase 4 validation by continuously attacking your stack, proving exploitability and turning your CTEM program into an operational reality.
You want security feedback on every pull request without slowing down development.
Outcome: RunSybil integrates into your CI/CD, providing commit-level security feedback and re-evaluating on every deployment, so issues are caught before they reach production.
Use Cases
- High-risk application security testing for systems handling customer data and transactions
- Continuous attack surface monitoring that updates with every deployment
- Multi-tenant and business logic testing for SaaS platforms
- Cloud and infrastructure security validation across IAM, containers, CI/CD
- Replacing bug bounties and point-in-time pentests with continuous coverage
- CTEM validation – proving whether findings from other tools are exploitable
Models Under the Hood
as of 2026-08-31
Limitations
- RunSybil is an AI-powered offensive security platform that continuously tests applications and infrastructure, with coverage of code, APIs, cloud, and infrastructure.
- Pricing is contact-based and no self-service tiers with detailed features are publicly listed, which may deter smaller teams.
- The platform requires integration into development pipelines, adding initial setup overhead.
- The website does not document native integrations with common tools, so you may need to build custom API integrations.
as of 2026-08-28
Verification history
We have re-verified RunSybil 18 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 18 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where RunSybil's pricing actually pencils out — and where peers do it cheaper.
RunSybil is positioned for security-serious enterprises with dedicated budgets. Its pricing is opaque and likely enterprise-level, so it's best for organizations that can afford premium continuous testing. Compared to cheaper periodic pentest services or bug bounty platforms, RunSybil offers continuous coverage and pre-validated findings, justifying a higher price for those who need it.
Setup time & first value
How long it actually takes to get something useful out of RunSybil — broken out by persona, not the marketing-page minute.
Setup time varies by persona: for DevOps engineers, expect a few days to integrate RunSybil into CI/CD pipelines and configure credentials; for security teams, a week or two to map your stack and tune the model; for CTEM leads, similar time to align with existing processes.
Switching to or from RunSybil
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From periodic pentests: transition to RunSybil by providing access to your repositories and cloud environments, then let it continuously test on every deployment.
- →From bug bounty platforms: replace your bug bounty program with RunSybil's continuous coverage, eliminating the unpredictability and triage burden.
- ↗To a traditional pentest firm: if you need a one-time manual review, you can hire a pentest firm, but you'll lose continuous coverage.
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “RunSybil”, and we withheld 6: 6 could not be judged, because “RunSybil” 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 RunSybil.
Official links
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