Planck Operator points an autonomous agent at your API. From your OpenAPI spec it tests every operation the way an attacker would: BOLA, BFLA, broken auth, and injection across user roles, and proves each finding with the exact request and response. Continuous, and safe against production.
Point Operator at an API and watch it map, chain a real exploit, and prove it, live. A cinematic walkthrough of a single agentic run, start to finish.
Meet OperatorPlanck Operator is an autonomous, agentic API penetration testing agent. From your OpenAPI spec it tests every operation the way an attacker would, reasons across them to find the broken object and function level authorization (BOLA and BFLA) that scanners cannot, and reports only findings it has already reproduced. Each is rated with a CVSS v3.1 vector and, on demand, signed off by a senior offensive security team.
A scanner hands you a list of maybes. The agent hands you a finding it already reproduced, with the exact requests, responses, and steps that make it true. If it cannot prove a thing, that thing never reaches your report.
Every result carries a CVSS v3.1 vector you can verify yourself, the components it touches, and remediation aimed at the layer that must change. When you want a person's signature on it, a senior practitioner validates it before it lands.
Example finding. Target details redacted.
The agent sits where scanners, annual manual tests, and one-shot AI tools each fall short: continuous coverage, proven exploitability, and a human you can put behind any finding.
| Planck Operator | Vulnerability scanner | Annual manual pentest | Single-shot AI tool | |
|---|---|---|---|---|
| Cadence | Continuous, on every change | Continuous but shallow | Once a year | A single run |
| What you receive | Exploit-proven findings | Unverified alerts | Verified snapshot | Often unverified output |
| Attack chaining | Multi-step, across operations | None | Depends on the tester | Limited |
| False positives | Reproduced before delivery | High | Low | Can be high |
| Coverage | Every API operation, re-tested | Signature based | Scoped snapshot | Single target |
| Human validation | On demand, same team | None | Inherent | Usually none |
| Safe in production | Non-destructive, scoped, kill switch | Usually | Manual care | Varies |
You give it your API base URL and OpenAPI spec. It parses the spec, tests every operation the way an attacker would, and proves what it finds, without a human driving each step. You set the scope and read the results.
You provide a verified domain, the API base URL, and one bearer token per user role. Scope is a hard boundary enforced in software, and every request stays under your base URL.
It parses your OpenAPI or Swagger spec and lists every documented operation, method, and parameter in scope. Only documented operations are tested, no blind fuzzing.
For every operation it reasons about what an attacker would try, and replays one role’s requests as another to reach the authorization flaws (BOLA and BFLA) that scanners cannot.
It tests, chains what it finds, reproduces each result to strip out noise, rates it with CVSS v3.1, and delivers it with the evidence attached. Anything it cannot prove does not reach your report.
Each stage feeds the next, so the testing at the end is aimed by everything the discovery at the start turned up. No inventory to hand over, no scan to configure, no result to hand-triage before it means something.
From your OpenAPI or Swagger spec it builds the full list of operations, methods, parameters, and request bodies in scope, so nothing documented goes untested.
With one token per user type, it replays one role’s requests as another to surface the object and function level authorization flaws that dominate real API breaches.
It probes for forgeable or non-expiring tokens, weak JWT handling, and unauthenticated endpoints that should require a session, the failures that undo every other control.
It tests every parameter the spec exposes for injection, and probes for mass assignment and object-property abuse: setting fields you should not, reading fields that should never leave the server.
It plans and runs test cases against each operation, then chains what it finds. A leaked token becomes an authenticated call; a permissive endpoint becomes access; a single low finding becomes a real path in.
Your API changes with every deployment. The agent re-runs on every change, so a new endpoint shipped on a Tuesday is tested that week, not at next year’s assessment. Coverage tracks your spec, not the calendar.
The agent tests across the same disciplines our consultants do, structured against published frameworks so every finding traces back to a known attack class rather than a tester's improvisation.
One capability, several jobs. Most teams start with the surface that changes fastest or worries them most.
You ship API changes daily. The agent re-tests every operation on your cadence, so a new endpoint never quietly becomes an exposure.
Point the agent at your API in staging and get an exploit-level read before your users, or an attacker, do.
Cross-tenant access, object-level authorization, and shared infrastructure tested the way one customer would try to reach another.
Third-party and partner-facing APIs tested for the authorization gaps that expose one tenant, or one integration, to another.
Hold the line day to day, then bring in our consultants for the deep, creative work when it matters.
Tool and function-call abuse, and the APIs your agents can reach, tested the way an attacker would drive them.
Running an attacker against your live systems is only acceptable if the controls are real. Ours are enforced in software, not promised in a slide.
Testing stays inside the assets and windows you define, enforced in the system rather than left to a tester's judgment in the moment. Discovery never becomes a reason to reach further.
The agent runs read-mostly, honors rate limits, and paces its traffic. Anything with real side effects is blocked unless you authorize it in writing.
Sensitive actions wait for your explicit approval, and you can stop any run instantly. You are never watching a black box you cannot halt.
Route any finding, or an entire run, through a senior practitioner before it reaches your tracker, when you want a person accountable for the result.
The run is autonomous. The output arrives in the tools your engineers live in, so a proven finding becomes a ticket, a pull request comment, or an alert without anyone passing a PDF around.
The agent is fast and never stops. What makes its output usable is the standard behind it. A finding either reproduces or it does not appear in your report. A severity number either follows CVSS v3.1 or it does not get printed. Autonomy buys you speed and constancy, not a lower bar for evidence.
Behind the agent is a senior offensive security team. They can validate any finding before it reaches you, and go deep on the hard targets where a person still outreasons automation. When you want a human engagement, it is the same people, on the same standard.
The agent's test library is structured against the same published frameworks our consultants work from, so a finding traces back to a known attack class and a severity you can verify yourself.
Agentic penetration testing uses an autonomous AI agent that reasons its way through an attack the way a human tester would: it maps the operations your API exposes, decides what to test, chains findings into real exploit paths, and reproduces each result before reporting it. Unlike a vulnerability scanner, which runs fixed signatures and hands you unverified alerts, an agentic pentester adapts to what it finds and proves exploitability. Planck Operator is an agentic penetration testing agent that runs this sequence continuously and rates every finding with CVSS v3.1.
Planck Operator is built for security and engineering teams whose APIs change faster than an annual test can cover: SaaS and multi-tenant platforms, fintech, healthcare, and AI companies, and any team under continuous compliance pressure from SOC 2, PCI DSS 4.0, or HIPAA. It suits teams that want exploit-proven findings delivered into the tools they already use, rather than a point-in-time PDF once a year.
A vulnerability scanner matches signatures and returns a queue of unverified alerts you have to triage. Planck Operator reproduces every finding before it reaches you, chains individually low findings into the real path an intruder would walk, re-maps the full surface on every change instead of relying on a static signature set, and lets you route any finding through a senior practitioner for a human signature. You receive proof, not a list of maybes.
Yes. The agent defaults to non-destructive testing, honors rate limits, and enforces scope in software rather than in a tester's memory. Anything with real side effects waits for your written approval, you can restrict it to staging, and you can stop any run instantly with the kill switch.
No. Every finding is reproduced before it is reported, with the requests, responses, and steps that prove it. Anything the agent cannot reproduce is never shown to you, and you can route findings through a senior practitioner for a second signature before they reach your tracker.
It replaces the annual snapshot, not the people. The agent gives you continuous breadth and proven exploitability day to day. Our consultants still go deep on business logic, chained abuse, and the creative work automation cannot yet reason through. Both use the same report format and severity scale.
Findings map to the standards auditors expect: PTES and NIST SP 800-115 for method, OWASP WSTG, ASVS, the API Security Top 10 and the LLM Top 10 for coverage, and CVSS v3.1 for severity. Where a framework requires an assessment signed by an accredited human, a certified practitioner on our team reviews and signs the report.
It runs from infrastructure we scope with you, and it can be routed through your own egress where a fixed source address is required. Engagement data is encrypted in transit and at rest, access is limited to the assigned team, and everything is handled under the commitments on our Trust and Data Handling page.
Operator is delivered as a managed capability rather than a tool we hand you. Tell us the size and cadence of the surface you want covered and we return a defined scope and a fixed price. If you already run periodic testing with us, it slots alongside that work on the same terms.
Give us a domain and the rules of engagement. We will return a scoped run and show you what it surfaces, including the assets you did not know were yours.