AI-DRIVEN OFFENSIVE SECURITY

Point it at a target. It decides the next move.

Kamet runs the tools, reads the raw output, and chooses what to do next: an autonomous pentesting agent operating on a real Kali box, Burp Suite, and a live browser, no human between steps.

Recon
Exploit
Report
Coverage keeps growing. Pentest capacity doesn't.

What's driving the gap

Cloud, APIs, mobile apps, and AI endpoints ship every week, each one new ground to test. A pentest once or twice a year leaves long blind windows between reports, exactly when code changes most. Senior offensive testers are hard to hire and impossible to clone; manual depth doesn't scale to the surface.

What Kamet changes

Autonomy closes the gap between tests: continuous, deep testing on every asset in scope, on demand, without waiting for the next booking.

104 / 104 CTF benchmark score, zero fine-tuning*
Two engines. One runs the test, the other runs the business.
Engine A does the testing. Engine B runs the delivery.

Engine A — the agent engine

A long-running agent in a tool-calling loop. Runs commands on a real Kali box, reads raw output, and chooses the next action, no human between steps.

Engine B — engagement lifecycle

A headless state machine for the commercial workflow. Automates everything from inbound purchase-order email through scoping, QA, branded reporting, and CRM close-out.

23
tools
118
capabilities
~36
skills
10
delivery phases

API-first. Operated over a REST / WebSocket API and through Claude skills, no web UI, by design.

It doesn't suggest commands. It runs them.
Every step is an independent AI agent.
Assemble context
LLM reasons
Tools execute
Output streams back
100,000
max iterations, effectively unbounded
~70%
context budget triggers auto-summarization
Streamed
reasoning, tool calls & output, token by token
Zero
humans between steps

Repeats until the model stops, or hits a safety gate.

Real tools, real boxes. Not a simulated sandbox.

Kali attack box

  • Bash and Python execute on an actual Kali Linux box
  • Stateful PTY shells for reverse shells and listeners

Burp Suite

  • Repeater replays raw requests at byte offsets
  • Intruder fuzzes; Collaborator catches out-of-band DNS/HTTP for blind SSRF, XXE, SQLi

Magnitude browser

  • A real Chromium, driven by natural-language goals
  • Fills forms, clicks, navigates, extracts, viewable live over noVNC
// live example — Active Directory exploitation
kamet · agent shell · domain: CORP.LOCAL
agent$ run_bash "nxc smb 10.10.10.5 -u j.doe -p ******** --shares"
[+] CORP.LOCAL\j.doe (Pwn3d!) + SYSVOL + NETLOGON + HR$ + IT$
~ agent decides: kerberoast CORP.LOCAL, then DCSync the domain next

No human suggested this. The agent read the raw shell output and chose the next move itself.

104 / 104, with pure markdown skills and no fine-tuning.
Proof, benchmarked on XBOW.
100%
OWASP Top 10 coverage
100%
OWASP LLM Top 10 coverage
100%
MASVS v2, mobile findings solved
89.4% → 100%
baseline vs. full skill set
CWE Top 25
mapped across findings
+Cybench
BountyBench coverage, same skills, multiple models
Disciplined multi-agent coordination, not a free-for-all.
Scope
Recon
Hypothesize
Execute
Integrate
Validate
Report

Experiments ledger

An experiments.md log, capped at 30, keeps every attempt on the record.

Mandatory skeptic

A skeptic checkpoint fires at experiments 5, 15, and 25 to challenge thin evidence.

Automatic reset

A stalled goal triggers a reset: re-read everything, research, retry.

Roles: Coordinator, Explore-executor, Exploit-executor, Skeptic, Finding-validator, Engagement-validator, each with an explicit context contract.

Every finding is earned before it ships.
01

Gate

Finding-validator. Every candidate is actively refuted for false positives before it can reach a report.

02

Score

CVSS · CWE · MITRE. Confirmed findings are scored with CVSS 3.1, mapped to CWE and MITRE ATT&CK.

03

Deliver

Branded PDF. An executive and technical report, prioritized by exploitability.

Risk prioritization

A deterministic scoring formula, with confirmed-vs-inferred separation and remediation-SLA bucketing.

Attack-path graphs

Seven edge detectors stitch findings into attack paths, emitted as JSON, DOT, and Markdown.

It runs real attacks, inside hard limits.

Consent gates

Recursive deletes, device writes, and fork bombs raise an explicit consent-required gate, even in auto-run mode.

Authorized scope only

Engagements exist only from inbound customer POs. Testing stays inside scope, nothing outside it.

Operator on the rail

Per-user toggles gate every tool, with live pause, resume, and clear-context controls throughout.

Dry-run everything

The full delivery pipeline runs with no live credentials; every outbound call previews what it would do first.

Six ways teams run it.

Continuous VAPT

Point it at external web, API, and network targets, it recons, exploits, validates, and reports without babysitting.

Boot2root / CTF

Built for and benchmarked on CTF-style challenges, with HackTheBox integration.

Mobile app security

Drop in an APK or IPA, get MASVS-mapped, CVSS-scored findings with working PoCs.

Bug-bounty acceleration

A HackerOne skill for report generation and platform-ready submissions.

AI / LLM security

OWASP LLM Top 10 coverage via the ai-threat-testing skill.

Managed service at scale

Lifecycle automation lets a small team deliver many engagements end to end.

Capability as text. Skills, not fine-tuning.
Offensive methodology lives in markdown skills, loaded on demand. Capability ships as text, it travels between models and needs no retraining. BYO model: OpenAI, Anthropic, or any OpenAI-compatible endpoint, no provider lock-in.
ai-threat-testing
api-security
attack-path-stitcher
authentication
cloud-containers
cryptography
dfir
hackerone
hackthebox
infrastructure
injection
mobile-security
osint
cve-poc-generator
Off the clock.
The OffSec harness handles the offensive security operation while you're away.
01

You scope it

Point the harness at one authorized target and set the rules of engagement.

02

It runs the op

Recon, exploit, validate, report, the harness runs the assessment end to end, unattended.

03

You review results

Come back to scored findings, working PoCs, and a remediation roadmap.

Point it at a target.Let Kamet run the op.

RECON · EXPLOIT · VALIDATE · REPORT

Book a walkthrough

See Kamet run against an authorized test target. We'll follow up within one business day.

Your information stays confidential and is never shared with third parties.