Planck Operator starts from a single domain or address range, discovers everything you have exposed, learns what each asset is built on, and tests it the way an attacker would. It runs the full sequence on its own: inventory, attack surface, technology intelligence, and active testing. What reaches you is a verified, severity-rated finding, not a queue of maybes.
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.
From a seed domain or address range it enumerates the real footprint: domains and subdomains, live hosts, cloud storage, and exposed services. That includes the assets no one remembered to decommission, which are usually the ones that matter.
For every asset it confirms is yours, it maps the reachable surface: open ports and services, web endpoints and parameters, authentication flows, and API routes. The output is a current map of everything an attacker could touch.
It identifies the frameworks, servers, libraries, and versions behind each surface, building an accurate picture of the stack before a single test fires. Knowing what a target is made of is what separates aimed testing from noise.
It correlates the fingerprinted stack against known vulnerabilities, default configurations, and public exposure, so testing concentrates on what is actually likely to break rather than firing every payload at every port.
It plans and runs test cases against each surface, then chains what it finds the way a human would. A leaked key becomes an authenticated request; a permissive setting becomes access; a single low finding becomes a real path in.
Your attack surface changes with every deployment. Operator re-runs as it changes, so an exposure shipped on a Tuesday is caught that week, not at next year's assessment. Coverage tracks reality instead of the calendar.
The same four stages run whether the target is a single application or an entire external estate. You set the boundary and read the results; everything between is the operator's job.
You provide the domains, address ranges, and rules of engagement. Operator treats scope as a hard boundary enforced in software, and never reaches outside it, no matter what discovery turns up.
It builds the inventory from the seed, confirms which assets are yours, and enumerates the reachable surface of each one. By the end of this stage it knows more about your footprint than most asset registers do.
Every surface is fingerprinted and matched against vulnerability intelligence. The testing that follows is aimed at the specific stack in front of it, which is why it finds real issues without drowning you in generic output.
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.
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.
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.
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.
Breadth and constancy. It watches an attack surface that changes daily and catches the exposures that come from drift, forgotten assets, and routine deployments. Broad coverage of known vulnerability classes, run as often as your environment moves, at a cost that does not scale with how many times you look.
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.
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.
No, and we will not sell it as if it did. Operator gives you continuous breadth: it maps a changing attack surface and catches exposure from drift 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.
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.
A list of in-scope domains or address ranges and the rules of engagement. Operator discovers the rest. You do not need to hand us a complete inventory, because building an accurate one is the first thing it does, and the gap between the inventory you have and the one it finds is often the most useful result of the first run.
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.
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.
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.