Continuous Penetration Testing
Your annual pentest audits a snapshot; code ships daily. Helix delivers continuous penetration testing: findings validated in sandboxes, fixes shipped as PRs.
The annual pentest audits code you've already replaced
A penetration test is a photograph. A team attacks a fixed scope for two weeks, writes a report, and leaves. The report is accurate for as long as the code doesn't change — which, if your engineers ship daily, is about a day. By the time the findings are triaged, prioritised, and fixed, hundreds of commits have landed that nobody has attacked. The next test is eleven months away.
Do the arithmetic on your own release cadence. A team deploying once a day puts roughly 250 production changes between annual tests. Every one of them is a chance to introduce an injection point, a broken authorisation check, or a leaked credential — and every one of them ships unaudited. The annual pentest doesn't secure your codebase. It secures a version of your codebase that no longer exists.
It's also expensive for what it covers: a traditional engagement typically runs $5,000–$50,000+, averaging around $18,000 — for a two-week snapshot of a moving target.
Continuous penetration testing: attack the code you actually ship
Continuous penetration testing closes the gap between the audit and the release. Instead of an annual engagement, security agents review every commit and every pull request as it lands, looking for the same classes of flaw a human pentester would: injection, broken access control, authentication bypasses, unsafe deserialisation, secrets in code, dangerous dependency changes.
This is what Helix Fortify does. The part that matters — the part that separates it from a linter with ambitions — is what happens after a suspected finding:
Findings are validated before they're reported. Each candidate vulnerability is handed to an agent in an isolated sandbox desktop — a full environment with a browser, terminal, and filesystem — which attempts to actually reproduce the issue. If the exploit doesn't work, you never hear about it. What reaches your team is a demonstrated weakness, not a pattern match.
Reports state severity and blast radius. Not "SQL injection detected, CVSS 9.8" but what an attacker reaches from this specific flaw in this specific system: which data, which credentials, which adjacent services.
Fixes arrive as pull requests. The agent that validated the finding writes the patch, and a human on your team reviews and merges it. The output of a test cycle is not a PDF. It's a diff.
Continuous vs annual penetration testing
| Dimension | Annual pentest | Continuous penetration testing (Helix Fortify) |
|---|---|---|
| Coverage | Fixed scope, once a year | Every commit and PR, all year |
| Latency to detection | Up to 12 months | Minutes after the code lands |
| Findings | Point-in-time PDF | Validated, reproduced in a sandbox |
| False positives | Analyst-filtered, weeks later | Filtered by exploit reproduction before reporting |
| Remediation | Your backlog's problem | Delivered as a PR for human review |
| Cost model | $5K–$50K+ per engagement | Flat platform cost, unlimited commits |
| Compliance evidence | One report per year | A continuous audit trail of tests and fixes |
Annual tests still have a place — a skilled red team probing your architecture is not something to cancel, and many compliance regimes require an independent assessment. But the annual test should be the capstone, not the entire programme. Continuous testing is what covers the other 350 days.
How this differs from scan-only PTaaS
Penetration testing as a service (PTaaS) was supposed to fix the cadence problem, and the delivery model — a platform instead of a PDF — is genuinely better. But much of the category is a vulnerability scanner with a dashboard bolted on. You get a stream of unvalidated findings, ranked by generic CVSS scores, and remediation remains entirely your job. Teams end up paying for a faster way to grow their backlog.
The difference with Fortify is the two ends of the pipeline. At the front, findings are validated by reproduction in an isolated sandbox — the noise a scanner would forward to you gets discarded by an agent that tried the exploit and watched it fail. At the back, remediation is part of the service: the fix arrives as a pull request against your repository, written with the full context of the finding. Scan-only PTaaS reports problems. Validated continuous testing closes them.
Automated penetration testing — with humans where they belong
The industry has already voted on fully autonomous security tooling, and the vote is blunt: surveys in 2026 found support for fully automated penetration testing dropped from 29% to 9% year over year, while 47% of buyers want automation combined with human expertise. Practitioners have seen enough AI-generated noise to know that "no humans needed" means "nobody accountable".
Helix is built on the majority position. Agents do the volume work — reviewing every commit, reproducing every candidate exploit, drafting every fix — because no human team can attack 250 releases a year. Humans do the judgement work: agent plans are approved by your team before execution, and every fix ships as a PR that a human reviews and merges. The agents scale the testing; your engineers keep the authority. That's AI penetration testing that a security lead can actually sign their name to.
The models matter: closed APIs refuse offensive work
Exploit reproduction is offensive work by definition — crafting payloads, attempting authentication bypasses, exercising injection points. Closed frontier models increasingly refuse exactly this, because their guardrails cannot distinguish an authorised test from an attack. The Autonomous Security Teams page documents where that ends up, including the July 2026 Hugging Face incident, where a real forensics team was blocked by commercial APIs mid-investigation.
Helix runs open-weight models — GLM, Llama, Qwen, DeepSeek — on infrastructure you control. Your agents don't ask a third-party provider for permission to test your own code, and your source never transits an API you don't operate. The agents themselves run in isolated, ephemeral sandbox desktops with scoped credentials issued per task, so a payload built to validate a finding is contained by design — the isolation model described in Agent Virtualization. Fleets of specialised agents, coordinated by a lead agent, cover a large codebase in parallel rather than queueing behind a single assistant.
Get started
See Helix Cyber — Fortify for continuous code security testing, Protect for continuous threat hunting. Explore /cyber →
Compare the economics — What a traditional engagement costs, and what continuous coverage changes. Penetration testing cost breakdown →
Read the related use cases — Autonomous Security Teams · Agent Virtualization