Planck Operator · Autonomous Offensive Security

An autonomous operator that tests every operation your API exposes

Planck Operator starts from your OpenAPI spec, enumerates every operation, and tests each one the way an attacker would. It runs the full sequence on its own: spec parsing, cross-account authorization testing (BOLA and BFLA), injection, and chaining. What reaches you is a verified, severity-rated finding, not a queue of maybes.

Capabilities

What the operator does on its own

You point it at scope and it does the rest. 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.

Spec-driven

Every operation, parsed

From your OpenAPI or Swagger spec it builds the full list of operations, methods, parameters, and request bodies in scope, so nothing your API documents goes untested.

Authorization

Cross-account BOLA & BFLA

With one bearer token per user type, it replays one role’s requests as another to reach the object and function level authorization flaws (BOLA and BFLA) that dominate real API breaches.

Authentication

Token and session testing

It probes for forgeable or non-expiring tokens, weak JWT handling, and unauthenticated endpoints that should require a session, the authentication failures that undo every other control.

Injection

Injection and mass assignment

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.

Testing

Autonomous testing and chaining

It plans and runs test cases against each operation, then chains what it finds the way a human would. A leaked token becomes an authenticated call; a permissive endpoint becomes access; a single low finding becomes a real path in.

Continuous

Continuous re-testing

Your API changes with every deployment. Operator 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 instead of the calendar.

How It Runs

One autonomous sequence, start to finish

The same four stages run against any API, from a single service to a large multi-tenant platform. You set the scope and read the results; everything between is the operator’s job.

Seed and scope

You provide a verified domain, the API base URL, and one bearer token per user role. Operator treats scope as a hard boundary enforced in software, and every request stays under your base URL.

Parse the spec

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.

Reason and cross-test

For every operation it reasons about what an attacker would try, and replays one role’s requests as another to reach the authorization flaws scanners cannot. The testing is aimed, not generic.

Test, verify, report

It tests, reproduces what it finds to strip out noise, rates each finding with CVSS v3.1, and delivers it with the evidence attached. Anything it cannot prove does not reach your report.

Standards

Aimed by recognized method, not improvisation

Operator'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.

OWASP WSTG OWASP API SECURITY TOP 10 OWASP ASVS PTES NIST SP 800-115 MITRE ATT&CK CVSS V3.1
The Standard Holds

Autonomous, held to the same rule as our people

The firm's standard did not loosen because the tester is software. 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. Operator is built to that rule from the ground up.

Every result it reports carries the requests, responses, and steps that prove it, and a senior practitioner can validate any finding, or an entire run, before it ever reaches your tracker. Autonomy buys you speed and constancy. It does not buy you a lower bar for evidence.

  • Proof, not probability. Each finding ships with the exact requests, responses, and reproduction steps behind it, so your engineers confirm it in minutes.
  • Safe by design. Operator runs non-destructive by default, honors rate limits, and is blocked from actions with real side effects unless you authorize them in writing.
  • Scope is a wall. Testing stays inside the assets and windows you define, enforced in the system rather than left to a tester's judgment in the moment.
  • Human validation on demand. Route any finding, or a full run, through one of our practitioners before it lands, when you want a person's signature on the result.
Where It Fits

Continuous coverage between deep engagements

Operator and a human penetration test answer different questions, and most teams that take security seriously want both. One holds the line every day; the other goes deep where a person has to.

Continuous

Planck Operator

Breadth and constancy. It tests every operation as your API changes daily and catches the exposures that come from new endpoints and routine deployments. Broad coverage of the OWASP API Security Top 10, run as often as your API moves, at a cost that does not scale with how many times you look.

Point In Time

Human penetration testing

Depth and judgment. Senior practitioners chase business logic, chain findings creatively, and reason through the hard targets automation cannot yet argue its way into. Findings from both flow into the same report format and the same severity scale, so the two views stay coherent.

FAQ

Common questions

Can it run against production safely?

Yes. Operator 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 requires your written authorization, and you can restrict it to staging or a defined maintenance window if you prefer. The intent is coverage without surprises.

Does it replace penetration testing?

No, and we will not sell it as if it did. Operator gives you continuous breadth: it tests every operation your API exposes and catches exposure from new endpoints and deployment, day after day. A human engagement gives you depth on business logic, chained abuse, and the creative attacks that need a person. They share a report format and severity scale so the two views reinforce each other rather than compete.

How do you keep findings from becoming noise?

Operator reproduces every finding before reporting it and attaches the evidence that proves it. Anything it cannot reproduce is not shown to you. Where you want a further filter, findings can be routed through a senior practitioner for validation before they reach your tracker, so what your team sees is signal they can act on immediately.

What do you need to get started?

A verified domain, your API base URL, and your OpenAPI or Swagger spec, plus one bearer token per user role to unlock authenticated and cross-account testing. Operator parses the spec and tests only the operations you include.

Where does it run, and what happens to the data?

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 same commitments described on our Trust and Data Handling page.

How is it delivered and priced?

Operator is delivered as a managed capability rather than a tool we drop in your lap. 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.

Get Started

Point Operator at your API

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.