Casco is live · custom pricing · last verified 23 Oct 2026 · viability monitor
Casco
Casco is an AI penetration testing platform that continuously tests web apps, APIs, cloud, mobile, and AI systems and proves which findings
Casco is the continuous-pentest model security engineers asked for: authenticated agent testing, retained scope and attack history, and a one-click replay of the proven attack instead of a fresh scan. The Slack bot and MCP server put findings where engineers already work, and the FedRAMP listing announced August 31, 2026 gives it a compliance story most agentic security startups can't match. Ask what the Jev triage agent covers versus a supervised engagement, and whether human review is priced.
Verdict generatedVerified 6d ago · liveness 67/100 · cite: rightaichoice.com/tools/casco
- Security teams replacing scheduled annual pentests with continuous, evidence-based testing
- Engineering orgs that want validated findings routed directly into Linear or Slack
- Teams building or deploying AI agents and MCP servers that need offensive testing
- Companies that need FedRAMP-listed pentest evidence to clear enterprise procurement
- Teams looking for a published self-serve price or instant signup without a sales conversation
- Organizations that want vulnerabilities found but have no engineer available to remediate
- Anyone who requires hands-on manual pentesting with no automation in the loop
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Skip Casco if you need an air-gapped or on-prem deployment, or if nobody on your team can act on reproducible exploit evidence once it lands in Linear.
Human review by OSCE, OSCP, CREST, and PCI-certified engineers is an optional add-on to a pentest, so supervised deliverables can cost more than the automated run you scoped.
Casco sells through a demo request rather than published tiers, so the comparison that matters is against the engagement you're replacing: a scheduled manual pentest from a boutique firm, or an annual scanner subscription. Budget for the automated continuous run plus, if your deliverable requires it, the optional OSCE/OSCP/CREST/PCI human review. Get scope, seat limits, and retest frequency in writing before you compare it to a fixed per-test quote.
In short
Casco — Casco is an AI penetration testing platform that continuously tests web apps, APIs, cloud, mobile, and AI systems and proves which findings. Best for Security teams replacing scheduled annual pentests with continuous, evidence-based testing, Engineering orgs that want validated findings routed directly into Linear or Slack, Teams building or deploying AI agents and MCP servers that need offensive testing. Pricing is on request (custom quotes).
What is Casco?
Casco — Casco is an AI penetration testing platform that continuously tests web apps, APIs, cloud, mobile, and AI systems and proves which findings. Best for Security teams replacing scheduled annual pentests with continuous, evidence-based testing, Engineering orgs that want validated findings routed directly into Linear or Slack, Teams building or deploying AI agents and MCP servers that need offensive testing. Pricing is on request (custom quotes).
Casco runs autonomous security agents against your live product rather than a static checklist. The agents first map the attack surface — domains, endpoints, identities, roles, tenant boundaries, data stores, and the paths connecting them — then test authenticated workflows across web applications, APIs (REST, GraphQL, WebSocket and other reachable protocols), cloud infrastructure, mobile applications, networks, and AI apps and agents including MCP servers. The premise is that most false positives are really context failures, so Casco keeps scope and attack history instead of starting over each engagement. What separates the output is the evidence format. Findings come back with the affected operation, the identity or role involved, impact, reproduction steps, captured requests where request tracking is available, and remediation guidance — plus a one-click retest that replays the original proven attack to confirm a fix actually landed. The operating layer is built for engineers, not just the security team. A Slack bot answers pentest questions in-channel and pushes findings into team workflows; an MCP server hands agentic tooling live pentest context; Network Observability keeps every request attributable, scoped, and reviewable; Context Refinement turns each dismissed finding into a reusable rule; Email Triage investigates incoming external vulnerability reports. Verified findings route into Linear and Slack, and Casco pulls source, cloud, CI, and runtime context from GitHub, GitLab, AWS, Google Cloud, Buildkite, Railway, and Vercel. Casco reports 400+ customers including Scout, CrewAI, and SixtyFour, and says its pentests have cleared procurement with Microsoft, Google, AMD, and Apple. It announced a $100M valuation Series A in July 2026 and, on August 31, 2026, said it is the first standalone agentic offensive security platform listed on FedRAMP. Every pentest can optionally include human review by OSCE, OSCP, CREST, and PCI-certified engineers. It sits
Key features
- Autonomous AI penetration testing for web applications, APIs, and AI systems
- API security testing with authenticated workflows across REST, GraphQL, and WebSocket
- Cloud infrastructure scanning across AWS, Google Cloud, Buildkite, Railway, and Vercel runtimes
- AI app and agent vulnerability testing, including prompt injection and data leakage
- Jev reasoning agent that prioritizes and triages finding severity
- Continuous pentesting that carries scope, identities, and proven attack paths between releases
- Reproducible exploit evidence with reproduction steps and captured requests
- One-click retest that replays the original proven attack to validate a fix
- Authenticated testing with real identities, roles, and tenant boundaries
- Broken object and function level authorization, excessive data exposure, and mass assignment checks
- Email triage that investigates and validates incoming external vulnerability reports
- Context Refinement that converts dismissed false positives into reusable rules for future tests
- Network Observability with attributable, scoped, and reviewable requests
- MCP server that supplies agent-ready pentest context to agentic tooling
- Slack bot for in-channel pentest answers and finding notifications
Behind the verdict
Most pentest procurement decisions come down to one question: how much of the report can your engineers actually act on? Casco's answer is the retest loop. Because the platform replays the original proven attack, a fix is either confirmed or it isn't — no arguing over whether a new scan covered the same code path. We'd reach for this when your release cadence has outgrown an annual engagement and your findings already die in a PDF. The other reason to pick it is the workflow around the testing. Findings landing in Linear, pentest questions answered in Slack by a bot, and an MCP server feeding context to agentic tooling — that's a deliberate bet that security work should happen where engineers already are. Teams with a small AppSec function and a fast deploy pipeline get the most out of it. Where it bites: you still need someone to fix what it finds. Casco surfaces exploitable paths; it doesn't remediate them for you. If your engineering team is already underwater, adding a continuous stream of validated findings can pile on pressure rather than relieve it. Plan who owns the queue before you turn it on. It's also a cloud-connected service. Organizations that need on-premises or air-gapped deployment won't find a fit here, and that includes some regulated environments the FedRAMP listing otherwise makes attractive. Compared to a traditional pentest firm, Casco trades the depth of a named human tester's intuition for frequency and reproducibility — and it can add OSCE-, OSCP-, CREST-, and PCI-certified review when a scope needs human judgment. Compared to a signature scanner like a standard DAST tool, the difference is authenticated depth and retained context: Casco tests what changed rather than re-running the same signatures. One caveat on the Jev agent: Casco's
Models under the hood
as of 2026-10-23
Limitations
- Casco is a continuous AI pentesting platform whose coverage depends on the assets, identities, and context it is given, so scope and cost must be pinned down with an account team — the public pricing page shows only a demo booking, not tiers or numbers.
- Its published comparisons (Jev vs.
- Claude vs.
- GPT) indicate its triage quality is positioned against general-purpose LLMs, and human-supervised testing or certifications are offered as separate paths.
as of 2026-10-03
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Is Casco still active?
Casco is live · custom pricing · last verified 23 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Casco? 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 →What's new in Casco
Checked 8 days agoAcross the latest 9 updates: 1 feature update, 3 launches, 2 community discussions and 3 news mentions.
Casco at the Pentagon: A DISA J-6 Recap
Casco recapped its presence at the Pentagon with DISA J-6, signaling continued federal engagement.
Jev vs. Claude vs. GPT: Your "Critical" Findings Are Stealing Your Sprint
Casco compared its Jev agent against Claude and GPT on triaging critical findings and false-positive noise.
5 Things to Compare Before Choosing a Pentest Quote
Casco outlined five criteria buyers should compare across pentest quotes before committing.
Casco is the first standalone FedRAMP-listed agentic offensive security platform
Casco claims first standalone FedRAMP listing for an agentic offensive security platform, expanding federal eligibility.
Introducing Casco's Improved Network Observability
Casco shipped an improved network observability feature for its pentesting platform.
Announcing the Casco Slack bot
Casco launched a Slack bot for its platform, bringing pentest workflows into Slack channels.
Security Slop Killed curl's Bug Bounty. Now It's Coming for Your Inbox.
Casco argued AI-generated low-quality security reports are degrading bug bounty programs.
Announcing the Casco MCP
Casco released an MCP server to connect its platform to MCP-compatible AI clients and workflows.
Announcing our $100M valuation Series A
Casco announced a Series A round at a $100M valuation.
What do users say about Casco?
What people actually say about Casco — is it worth it?
Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Casco— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 23 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Casco 11 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.
- — changed description, summary, our verdict, models, pricing page, limitations
- — changed our verdict, features, description, summary, who it suits, who should skip it
- — changed pricing page
- — changed pricing tiers
- — changed pricing fit, who it suits, description, our verdict, features, hidden costs, integrations, limitations, switching in, switching out, who should skip it, setup time, summary, use cases
- — changed summary, features, who it suits, our verdict, integrations, who should skip it, description, pricing page
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Casco cost in 2026?
Casco: Pricing is on request (custom quotes). Pricing last verified 23 Oct 2026.
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.
Where the pricing makes sense
The company stage and team size where Casco's pricing actually pencils out — and where peers do it cheaper.
Casco sells through a demo request rather than published tiers, so the comparison that matters is against the engagement you're replacing: a scheduled manual pentest from a boutique firm, or an annual scanner subscription. Budget for the automated continuous run plus, if your deliverable requires it, the optional OSCE/OSCP/CREST/PCI human review. Get scope, seat limits, and retest frequency in writing before you compare it to a fixed per-test quote.
Has Casco's pricing changed?
No plan price for Casco has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Casco?
Pick Casco if you are Security teams replacing scheduled annual pentests with continuous, evidence-based testing, Engineering orgs that want validated findings routed directly into Linear or Slack, Teams building or deploying AI agents and MCP servers that need offensive testing, Companies that need FedRAMP-listed pentest evidence to clear enterprise procurement.
Look elsewhere if you are Teams looking for a published self-serve price or instant signup without a sales conversation, Organizations that want vulnerabilities found but have no engineer available to remediate, Anyone who requires hands-on manual pentesting with no automation in the loop, Teams that cannot use a cloud-connected service, since on-premises and air-gapped deployment is not supported.
Skip it if Skip Casco if you need an air-gapped or on-prem deployment, or if nobody on your team can act on reproducible exploit evidence once it lands in Linear.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Casco actually fits — and what changes day-one when you adopt it.
You point Casco at your production web app and API, hand it credentials for each role and tenant boundary, and let it map identities, endpoints, and data stores before it starts testing authorization paths.
Outcome: Confirmed findings arrive with the affected operation, the identity involved, reproduction steps, and captured requests, and route into Linear for the engineer who owns the fix.
After a fix merges, you trigger a one-click retest from Slack that replays the original proven attack rather than running a fresh scan.
Outcome: You get a pass/fail on the specific exploit, and the retained scope, identities, and attack paths carry forward to the next release so Casco only tests what changed.
A prospect's security review asks for pentest evidence; you run a Casco pentest with optional human review by OSCE, OSCP, CREST, and PCI-certified engineers and hand over the report.
Outcome: You supply reproducible evidence rather than a point-in-time narrative, and Casco's FedRAMP listing (announced August 31, 2026) plus its Microsoft, Google, AMD, and Apple procurement history answer the federal and enterprise questions up front.
Use cases
- Continuously test your web app and API for OWASP-class authorization, data exposure, and business-rule flaws without scheduling an engagement.
- Test an AI chatbot or agent for prompt injection and data leakage before it ships to customers.
- Run a CREST-accredited assessment with optional human review to satisfy a compliance or audit requirement.
- Route validated findings straight into Linear or Slack so the engineer who owns the fix sees them in their existing workflow.
- Replay a proven attack with one click after a fix ships and keep the retest evidence for auditors.
- Ask pentest questions in Slack and get answers in-channel instead of waiting on a report.
- Connect live pentest context to your own AI agents through the Casco MCP server.
- Let Casco investigate incoming external vulnerability reports by email before your team triages them.
Setup time & first value
How long it actually takes to get something useful out of Casco — broken out by persona, not the marketing-page minute.
Security lead at a small team: hours to first scoped test if you already know your hosts, roles, and tokens; a day or two if you have to inventory them. Platform engineer wiring the GitHub, AWS, and Slack connections: under a day for the basic loop, longer if you want CI-triggered tests and Linear routing. Enterprise buyer pursuing the FedRAMP-listed, human-reviewed path: expect a scoping and
Switching to or from Casco
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a scheduled manual pentest: replace the annual engagement with a continuous test on your live surface, then keep Casco's reproducible evidence for the next procurement review.
- →From a signature-based scanner: hand Casco your existing scope and credentials and let authenticated agents test the workflows the scanner could only inventory.
- →From an in-house security review checklist: convert the checks you already run into approved scope and let Casco test the delta on every approved release.
- →From ad-hoc bug bounty triage: route external reports through Casco's email triage so claims get investigated before your team spends time on them.
- ↗To a manual pentest firm: export the reproducible evidence and captured requests from your last Casco run as the starting brief.
- ↗To a signature-based scanner: keep Casco's retained attack history as a record of what was previously proven exploitable.
- ↗To an in-house security program: the reusable context Casco builds from dismissed findings can inform the rules you write internally.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Casco”, and we withheld 6: 6 could not be judged, because “Casco” 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 Casco.
Official links
What are the best Casco alternatives?
The closest alternatives to Casco we list are RunSybil, Pixee and Apex. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| RunSybil | Contact Sales | Custom pricing | — |
| Pixee | Contact Sales | Custom pricing | — |
| Apex | Contact Sales | Custom pricing | — |
Alternatives to Casco
View all
RunSybil
RunSybil delivers continuous AI penetration testing that chains weaknesses across code, APIs, cloud, and CI/CD on every deployment.
Tools that pair well with Casco
Common stack mates teams adopt alongside Casco, with the specific reason each pairing earns its keep.
RunSybil
RunSybil delivers continuous AI penetration testing that chains weaknesses across code, APIs, cloud, and CI/CD on every deployment.
Pixee
Pixee is agentic vulnerability remediation that proves which scanner findings are exploitable, then ships convention-aware fixes as pull
Apex
Apex runs continuous adversarial testing agents that exploit your apps, APIs, and AI agents, then ship the fix as a PR.
Casco vs its closest rival
Casco's closest head-to-head is with Push Security — For teams battling real-time browser-based threats and AI tool risks, Push Security is a clear choice with its freemium entry and deep browser telemetry. If you need continuous, autonomous security testing across your app stack with compliance-ready reports, Casco's CREST-accredited platform is unmatched. The choice hinges on whether your priority is defending browser sessions or proactively finding vulnerabilities. Verdict generated
Head-to-head comparisons
Casco vs Push Security
For teams battling real-time browser-based threats and AI tool risks, Push Security is a clear choice with its freemium entry and deep browser telemetry. If you need continuous, autonomous security testing across your app stack with compliance-ready reports, Casco's CREST-accredited platform is unmatched. The choice hinges on whether your priority is defending browser sessions or proactively finding vulnerabilities.
GeneratedCasco vs Audioeye
These tools serve entirely different domains: Casco is a CREST-accredited autonomous security tester for code and AI vulnerabilities, while AudioEye is an accessibility compliance platform. Choose Casco if you need continuous security scanning; choose AudioEye if you must meet ADA/WCAG requirements. They are not substitutes.
GeneratedCasco vs Temporal Ai
Choose Casco if you need autonomous security testing with CREST accreditation for web, API, cloud, and AI systems. Choose Temporal if you need an open-source durable execution platform to build reliable AI agents and workflows. They are complementary: Casco secures your AI systems; Temporal makes them resilient.
GeneratedFrequently asked questions
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