For pentesters · Our value proposition

Compared to what
else is out there.

"Autonomous AI pentesting" is a crowded label right now — but most of what's sold under it wasn't built for a firm running client engagements. Some test the model, not the app. Some sell straight to your client and cut you out. Some are priced in a way that punishes exactly the volume a real pentest practice runs. Here's the landscape as it actually breaks down, and where MILLENNIUMS.AI sits in it.

The landscape, category by category

Four categories wear the same label. None of them is built to be your tooling layer.

AI/LLM red-teaming & runtime guardrails

Mindgard · Lakera Red · HiddenLayer
What they do

Adversarially test the model itself — jailbreaks, prompt-injection resistance, safety/robustness scoring — then typically sell a runtime guardrail product to sit in front of it in production.

Pricing

Custom / undisclosed across all three; Lakera Red has a free community tier (10,000 API requests/month) for individual testing.

Target buyer

Enterprise AI/security teams evaluating a model or platform they own, often already using the vendor's guardrail product.

Where it falls short for a firm: these tools score the model in isolation. They don't test the full agentic application your client actually shipped — the tool integrations, the RAG pipeline, the permission boundaries — and they don't hand you a proof-of-concept-backed finding you can drop into a client deliverable. You get a risk score, not an exploit.

Autonomous app & API pentesting

XBOW · Escape · Corgea AI Pentest
What they do

Genuinely autonomous vulnerability discovery and exploitation, some with real proof-of-concept validation. Escape leans into business-logic bugs (BOLA/IDOR) and API-specific issues; XBOW does adversarial multi-agent exploit chaining; Corgea publishes standard/comprehensive pentest packages at fixed prices.

Pricing

Corgea — $4,000 (Standard) to $8,000 (Comprehensive), custom Enterprise. XBOW — priced per action, which climbs fast under continuous or high-volume use. Escape — custom, enterprise-oriented.

Target buyer

The app owner buying a pentest (or continuous testing) for their own product — not a firm reselling the work to multiple clients.

Where it falls short for a firm: none of these are packaged for running across dozens of different clients' apps from one account, and none offer white-label output — the report comes back with their brand on it, not yours. XBOW's per-action pricing actively punishes the volume a real practice needs.

Enterprise agentic pentesting

Terra Security · Hadrian
What they do

Terra Security runs human-in-the-loop agentic testing with business-impact scoring and compliance alignment (SOC 2 / ISO); Hadrian is attack-surface-management-first, triggered by infrastructure changes, focused on external asset monitoring.

Pricing

Custom, enterprise-scale.

Target buyer

Large regulated enterprises buying directly for their own environment.

Where it falls short for a firm: built to be bought and used by the enterprise itself, with sales motions and pricing to match — not structured as a tool a boutique firm licenses to run across its client book.

Human-led marketplaces

Cobalt · Synack · HackerOne · Bugcrowd
What they do

Vetted human researcher / pentester communities, formal enterprise contracts, named assessors, deep manual expertise.

Pricing

Contact sales, enterprise-priced, typically the highest cost tier in the market.

Target buyer

Enterprises needing compliance-grade attestation with a known vendor relationship.

Where it falls short for a firm: this isn't really a competitor to a tool — it's the manual status quo your firm is already living inside. It doesn't solve your team's throughput problem; if anything, it's the budget your firm is trying to win a share of.
Side-by-side

Where MILLENNIUMS.AI sits in the landscape.

MILLENNIUMS.AI AI/LLM red-teaming
Mindgard, Lakera, HiddenLayer
Autonomous app pentesting
XBOW, Escape, Corgea
Enterprise agentic
Terra, Hadrian
Human marketplaces
Cobalt, Synack, HackerOne
Tests the full agentic app (not just the model) YesNo — model onlyYesYesYes (manual)
PoC-backed findings, not just a risk score YesNoPartial (varies)PartialYes (manual)
Maps to OWASP LLM Top 10 / audit evidence YesPartialNoPartialDepends on assessor
Unlimited client apps, one account YesNoNoNoN/A
White-label / co-brand output YesNoNoNoNo
Priced for firm volume (per-engagement, not per-scan/action) YesCustomCorgea: per-pentest · XBOW: per-actionCustom, enterprise-scaleContact sales, enterprise-scale
Sells to your client directly (channel-conflict risk) No — augments your firmSometimesUsuallyUsuallySometimes

Comparison compiled from public vendor research; verify against each vendor's current site before relying on it. The "sells to your client directly" row reflects each vendor's typical go-to-market motion, not a confirmed policy.

The short version

Everyone else is testing the wrong layer, selling around you, or priced for enterprise-direct scale.

MILLENNIUMS.AI is built to be the tooling layer underneath a pentest firm's own engagement — proof-backed findings on the actual application, delivered under your name, priced the way you already bill.

See it for yourself

Run it against a real engagement.

Book a 30-minute walkthrough and we'll show you actual findings against a representative AI-app target — no commitment, no card required.

Book a demo Talk to us about partnering