Product · Agentic Pentest

An AI that works like your best pentester

An adaptive agentic loop that probes, reads the response, mutates payloads and escalates - watch it work live, then read the proven kill chain on every confirmed finding.

Capabilities

What Agentic Pentest does

Adaptive loop

Probe → read → decide the next payload; mutate around blocks.

Deterministic verdict

Marker / timing / canary adjudication - not 'the model said so'.

Live Agent Cockpit

Watch the agent work in real time - current intent, typed tool-calls and a live phase task-tree.

Attack Trace

Each confirmed finding leads with the proven kill chain and a masked proof receipt, not a CVSS number.

How it works

An adaptive agentic loop that probes like a pentester - reads each response, mutates the next payload, escalates around blocks - adjudicates the result deterministically instead of trusting the model's word, presents the run live as an operator at work, and leads each confirmed finding with the proven kill chain.

01

Map

Build a live model of the target - endpoints, parameters and auth - from the crawl and any SAST recon already run, so the agent starts from hypotheses instead of a blank slate.

02

Probe

Send a safe, bounded probe and read the full response - watch it live in the Agent Cockpit.

03

Escalate

Mutate the payload and switch technique around WAFs, filters and rate limits - the same way a human tester adapts, not a fixed retry.

04

Adjudicate

A deterministic verdict from a marker, timing differential, out-of-band canary or arithmetic oracle - never the model's opinion.

05

Trace & report

The confirmed finding leads with the proven kill chain, a masked proof receipt, and which attack paths it breaks.

What you get

  • Adaptive, response-driven payload selection
  • Deterministic verdict, not model opinion
  • Live Agent Cockpit: current intent, typed tool-calls and a live phase task-tree
  • Attack Trace: the proven kill chain plus a masked proof receipt on confirmed findings
  • Blast-radius / attack-path impact: fixing this breaks N of M attack paths
  • Safe by design: host-pinned, read-only, request-budgeted - no real destructive exploit
See it adapt

A WAF blocked the first payload. It didn't block the fifth.

This is the same escalation a human tester runs by hand - encode differently, change technique, try again within the request budget. Every attempt lands in the Attack Trace, blocked or not, so a bypass is documented rather than hidden.

apPosture · Agent Cockpit
Intent: Testing SQL injection on /api/search?q=
probe q=1' OR '1'='1 403 · WAF: keyword filter
escalate Mutate: inline comments + case folding - q=1'/**/oR/**/'1'='1 403 · same rule matched
escalate Switch technique: arithmetic oracle instead of boolean - q=(SELECT 7919*7907) 200 · body contains 62615533
confirmed SQL Injection confirmed - arithmetic oracle, WAF bypass documented proof
Proven · Critical · SQL Injection (WAF bypass)

Attack Trace captures the full mutation sequence - request and response at every step, not just the payload that finally worked.

Why this, not a scanner

Agentic Pentest vs. a traditional scanner

A signature-based scanner sends its list and logs what got blocked. The difference is what happens next.

Agentic PentestTraditional scanner
Payload selectionAdapts to each response, mutates around blocksFixed payload list - the same request whether blocked or not
On a WAF or filterEscalates with a different techniqueLogs a block and moves on
VerdictDeterministic oracle - marker, timing, canary or arithmetic resultPattern/signature match on the response
False positivesOnly in-band, confirmed exploitation is reportedFlags anything matching a known signature
Evidence per findingFull Attack Trace - every step, request and responseThe one request that triggered the rule
Business logic & chained abuseBounded, single/dual-principal casesOut of scope

For the deepest business-logic and chained-abuse cases, that is what Manual Pentest is for - see the full comparison.

FAQ

Frequently asked

Is it safe to run against a production application?

Yes, by design. Every probe is host-pinned to the target you scoped, read-only where possible, and request-budgeted - no destructive verbs (DELETE, PUT, transfer), no floods, no real write to anything that matters. Same safe-probe discipline as the rest of the platform - see the proof methodology.

How does it avoid hallucinating a finding?

The model never gets the final word. A confirmed finding passes a deterministic oracle - marker execution, a timing differential, an out-of-band canary, or an arithmetic result only a real injection could produce. If the oracle does not confirm it, the finding is labelled likely or inferred, never confirmed - see the confirmation ladder.

What happens when it hits a WAF or rate limit?

It escalates the way a human tester would: change the encoding, split the payload, switch from a boolean to an arithmetic oracle, or back off and retry within the request budget. Every attempt - blocked or not - lands in the Attack Trace, so a bypass is documented, not hidden.

Do I need to grant it write access or valid credentials?

Only what the scope requires. Unauthenticated targets are tested unauthenticated; authenticated tests use a scoped test account you provide, the same as a human pentester would need. It never needs standing production write access - a confirmed finding is proven with a benign, reversible marker, not a real transaction.

Part of one platform

Agentic Pentest feeds your unified posture

Every Agentic Pentest finding deduplicates into one risk-weighted posture, correlates into attack-chains, and can block the build at the CI gate.

DAST API Security SAST SCA Container IaC Kubernetes Posture Secrets Threat Modeling ASPM CI/CD Gate
apPosture

See Agentic Pentest on your own app

From discovery to a proven attack chain. A PoC in your own environment.