First-generation "AI Pentester" wrappers flood enterprise AppSec teams with hallucinated chat logs and false-positive noise. LLM in the Loop Fuzzer is an enterprise-grade autonomous fuzzing platform that pairs your organization’s own 120B-class LLM hypothesis generation (BYOK) with 31 deterministic protocol verifiers, sub-millisecond barrier race-condition bursts, 3-step stateful workflow agents, and a 7-Stage Executive Verification Gate—delivering mathematically proven, reproducible security findings ready for CI/CD and board-level audit.
SQLi, SSRF, SSTI, XXE, IDOR, JWT alg:none/kid, GraphQL, CORS, Mass Assignment, Prototype Pollution, Cache Poisoning, OAuth, Race TOCTOU & DOM XSS.
Every LLM hypothesis starts as verified: false and must pass protocol verification, ExploitCritic replay, and a benign negative control probe.
Synchronized threading.Barrier single-packet bursts and stateful token-extraction workflows uncover complex business-logic flaws legacy DAST tools miss.
Automated CVSS 3.1 scoring, tamper-evident SHA-256 audit chains, SARIF 2.1.0 for GitHub/GitLab CI gating, Nuclei YAML, and runnable .sh/.py regression scripts.
Architected for corporate AppSec teams, DevSecOps pipelines, and regulated enterprises that require zero-false-positive proof.
Ingests OpenAPI/Swagger/Postman/HAR specifications, crawls in-scope endpoints, parses production JavaScript bundles and .map sourcemaps for undocumented routes, and inventories hidden parameters.
Feeds endpoint schemas, tech-stack fingerprints, and differential response telemetry into openai/gpt-oss-120b (or your corporate BYOK endpoint) to synthesize targeted fuzzing hypotheses per parameter.
Executes controlled fuzzing across 31 vulnerability classes, dispatches threading.Barrier parallel race bursts for TOCTOU overruns, and runs 3-step stateful token-extraction workflows (core/repl_agent.py).
Re-executes the candidate payload alongside a benign baseline control probe. If the vulnerability signal still appears under the benign control, the finding is automatically discarded as a non-exploitable artifact.
Evaluates every verified finding against 7 deterministic exploitability criteria and suppresses low-signal scanner noise (informational banners, uncredentialed CORS wildcards, non-exploitable reflections) before alerting engineering.
Synthesizes multi-step attack chains, generates standalone .sh and .py engineering reproduction scripts, exports SARIF 2.1.0 & Nuclei YAML for CI/CD gating, and records a cryptographic SHA-256 audit ledger.
Why deterministic protocol verification + adversarial negative controls outperform autonomous container wrappers and legacy rule scanners in corporate environments.
| Capability / Architecture | 🛡️ LLM in the Loop Fuzzer (Ours) | XBOW | PentestGPT / LLM CLI Wrappers | Strix / CAI / ReAct Agent Loops | Horizon3 NodeZero / Terra | Legacy DAST (Burp / Invicti / Nuclei) |
|---|---|---|---|---|---|---|
| Verification Philosophy | ✓ 31 Deterministic Verifiers + Critic Replay + Negative Control | Container flag/canary capture | ✗ Raw LLM text interpretation (high hallucination rate) | ⚠ Agent self-reflection (LLM grades its own homework) | Exploit-path graph validation | Regex / static template matchers |
| False-Positive Guarantee | ✓ Zero unverified LLM findings (inferred != verified) |
Low on CTF benchmarks; opaque on live APIs | ✗ 30–60% false positives on production WAFs | ⚠ Moderate; prone to echo & reflection confusion | Low on infra; limited custom business logic | ⚠ High on informational & header banners |
| Executive Noise-Suppression Gate | ✓ Built-in 7-Stage Verification Gate + Noise Filter | ✗ None | ✗ None | ✗ None | ✗ High-level summaries only | ✗ Floods engineering backlogs with header noise |
| Single-Packet Race Conditions | ✓ threading.Barrier synchronized burst + sequential control |
Custom script generation per run | ✗ Sequential CLI execution only | ✗ Sequential tool calls | ✗ Not supported | Manual Turbo Intruder scripting required |
| Stateful Multi-Step Workflows | ✓ 3-Step Token Extract → Tamper → Control (repl_agent.py) |
✓ Containerized agent loop | ✗ Loses session state across prompts | ⚠ Brittle; high token burn & context drift | ✓ Credentialed workflow paths | Requires manual macro recording |
| Headless Browser DOM XSS | ✓ Static JS Source-to-Sink Taint + Headless Chromium Execution | ✓ Headless browser | ✗ HTTP text only | ⚠ Optional plugin | ✓ Browser engine | ✓ Headless Chromium |
| Engineering & Compliance Artifacts | ✓ SARIF 2.1.0, CVSS 3.1, SHA-256 Audit Chain & Runnable PoCs | Internal JSON / summary | Unstructured chat logs | Markdown agent transcript | Executive PDF | Generic XML / HTML compliance dump |
| Scope & SSRF Egress Safety | ✓ Hard Host+Port Scope + DNS-resolved RFC1918/IMDSv2 block |
Container network policy | ✗ Unbounded shell commands (high out-of-scope risk) | ✗ Prompt-only scope reminders | Subnet allowlist | Host regex scope |
| Transparent Corporate Licensing | ✓ 100% BYOK: $0 Free / $99 Starter / $399 Team / $1,290 Scale / $3,490+ Enterprise | Not publicly listed | Unmaintained DIY scripts | Open-source DIY | Not publicly listed | Not publicly listed |
Engineered for strict corporate authorization, multi-tenant isolation, and tamper-evident auditability.
No anonymous self-service scanning. Every organization's onboarding request is held in an isolated pending state until security operations verifies corporate identity and authorized target domains.
Before any socket opens, validate_saas_target_egress resolves all target A/AAAA records and blocks loopback (127.0.0.0/8), RFC1918 internal networks, link-local, and cloud metadata (169.254.169.254).
Every scan lifecycle event is recorded in a SHA-256 hash-chained audit ledger for SOC 2 / ISO 27001 / PCI-DSS 4.0 evidence, backed by 310,000-round PBKDF2-SHA256 authentication and strict zero-unsafe-inline CSP.
The entire ladder below the Enterprise band is self-serve with a published price. Applications are the billing unit; fuzzing hours are the bundled allowance; humans are never counted. Every tier is 100% Bring-Your-Own-Key — connect your own model endpoint (Groq, OpenAI, Azure OpenAI, Anthropic, or self-hosted vLLM/Ollama) per scan, or run the deterministic engine with no external LLM key at all.
Individual developers and anyone evaluating whether LLM-steered fuzzing beats their current scanner.
A small team shipping one to three services, gating every pull request. Replaces a point-in-time LLM scan.
$33.00 per application / mo
Start 14-Day Trial ↗A product org with a real API estate and LLM features. This is the tier the whole business should be built around.
$28.50 per application / mo
Start 14-Day Trial ↗Security teams accountable for a portfolio they cannot fully enumerate, reporting coverage to a board.
$23.45 per application / mo
Talk To Us ↗Regulated buyers, air-gapped environments, and anyone replacing a six-figure fuzzing or pentest programme.
$19.94 per application / mo
Contact Sales ↗Enterprise is the only quote-based tier, and it still publishes a floor ($3,490/mo). Publishing the floor qualifies inbound before a call happens, and it anchors the discount conversation against a number rather than against the buyer's imagination. The price per application falls monotonically — $33.00 → $28.50 → $23.45 → $19.94 — so volume buyers can see the curve without asking. That is the entire negotiation, on the page.
Why this shape wins: unlimited seats on every paid tier — LLM security needs developers, AppSec, ML platform and GRC in the same tool, and per-seat pricing actively blocks that while giving us a free wedge against Burp, GitHub, Snyk and StackHawk. Per-application, not per-scan: scans are an implementation detail customers cannot forecast, while applications are a number they already know from their own inventory.
Because LLM in the Loop Fuzzer dispatches active protocol verification probes, barrier race bursts, and headless browser checks, all corporate accounts are provisioned through our dedicated registration portal and verified prior to console activation.
/console) and fuz_live_... CI/CD API keys.
inferred: true, verified: false. A finding is promoted to the compliance ledger only when one of our 31 deterministic verifiers observes concrete protocol proof AND ExploitCritic confirms the signal disappears under a benign negative control probe.