Find out in minutes. Point MILLENNIUMS.AI at your app — no dashboards to learn, no attack scripts to write — and see exactly what happens, from first probe to a one-click fix pull request.
Every reason teams run a pentest, turned from a slow, expensive project into something that happens on every release.
Logic flaws, chained exploits, and broken authorization — the bugs a generic scanner walks past. Autonomous adversarial testing, with human review by a CREST/OSCP-certified reviewer on demand, finds them and proves each with a working exploit. Catching one early beats explaining a breach.
PCI DSS, SOC 2, ISO 27001, and HIPAA all require regular pentesting. One scan produces an audit-ready Compliance Report mapped to your controls — evidence in minutes instead of a five-figure engagement and a six-week wait.
B2B buyers want a fresh, third-party pentest report — an "attestation of clean health" — before they sign. Hand them one on demand, and protect the brand from the single breach that can erase customer trust overnight.
A flaw caught in a pull request costs a fraction of one patched in production after an incident. Scan every release, take the one-click fix PR, and keep the pentest records cyber-insurers ask for to grant coverage or lower your premium.
Security that runs on every change, not once a year — so a new feature can't quietly reopen an old hole. Every finding comes with reproducible, plain-English detail that teaches your developers to ship more secure code next time.
A staging URL, a repo, or an API endpoint. Register it once and scan on demand, or let it run on every pull request and once a week.
Autonomous agents probe the AI attack surface — prompt injection, tool and agent abuse, data leakage, RAG flaws, runaway cost — in an isolated sandbox that's destroyed when the scan ends. Nothing to run, nothing to watch.
Not a CVSS guess — an attack that actually fired, with the exact steps to reproduce it. Unproven leads are held in a separate review bucket, so you only triage what's real.
Each finding comes with a plain fix and, when you want it, a draft PR your engineers review before it lands. Nothing merges on its own.
A scoped scan runs on each AI-surface pull request and blocks the merge on a proven, net-new vulnerability. Recurring findings are de-duplicated, so the pipeline stays quiet until something real appears.
Every completed scan writes a full penetration test report — the document a pentest firm hands you — with each finding mapped to the standard you answer to: OWASP LLM Top 10, SOC 2, ISO 27001, ISO 42001, NIST AI RMF, PCI DSS 4.0 Req 11.4. Plus a redacted attestation letter you can send a customer without an NDA, and the same report as JSON for Vanta, Drata or Secureframe.
The engine tests every category on the industry-standard AI-security checklist. The full matrix is published live on the Trust Center. See it →
Your AI app is only as trustworthy as what it's built on, and most of that comes from outside your codebase: third-party foundation models, fine-tuned weights, training and RAG datasets, plugins, and the ML/LLM libraries in your stack. A poisoned model, a backdoored dataset, or a vulnerable ML dependency can compromise you before you write a line of code. This is OWASP LLM03:2025 Supply Chain.
Risk from the AI components you depend on — untrusted model sources, over-trusted plugins, and known-vulnerable ML/LLM dependencies.
The scan inspects where models and data come from, how plugins are wired, and the dependency tree — then triages CVEs by real exploitability (CISA KEV / EPSS) and reachability, so you see what matters.
Supply-chain compromise bypasses your app-level controls — it's on the OWASP LLM Top 10 for exactly that reason. Different from Shadow-AI discovery, which inventories where AI is used.
Tools: osv-scanner for dependency CVEs + EPSS / CISA-KEV / reachability triage; findings map to OWASP LLM03 and MITRE ATLAS AI Supply Chain Compromise (AML.T0010).
Beyond the app, the same engine checks your cloud posture for the exposures attackers hunt for: public buckets, over-broad IAM, ports open to the world, unencrypted data, and blind spots in your audit trail. Each finding is CVSS-scored with a plain fix.
Example findings. Connect an agentless role and we assume it, enumerate agentless, and check your posture — CVSS-scored, mapped to your compliance frameworks. No keys, no write access.
Define a scope, prove you own it, sign the rules — then the engine works the four steps of a real network pentest. Every action is bucketed into a three-tier safety model, so automated offensive testing stays safe to run.
Gather data and map the digital footprint — mostly passive.
Find open ports and active services, then confirm what's exposed.
Test weak points to gain access — human-approved per target.
Document flaws with proof, and hand over the fix.
Live: external + internal-network connector, confirm-only and credentialed, plus rate-capped Tier-2 sweeps — all gated by proven ownership + a signed RoE, with an always-visible Emergency Stop. Tier-3 exploitation ships as a human-gated, non-destructive framework, disabled by default.
Every engagement produces the same evidence in three shapes. Procurement gets something safe to forward. Engineering gets the reproduction steps. Your compliance platform gets JSON.
One page, redacted by construction. Legal entity, test window, assessment type, severity counts, provider signature. No endpoints, no proof-of-concept, nothing an attacker could use. The document you send a customer who asked whether you pentest.
Executive summary, rules of engagement and scope, severity distribution, every finding with its working reproduction, the framework cross-map, and a remediation roadmap phased by severity. For engineering and for auditors under NDA.
The same report as JSON, control mappings included, so it lands in Vanta, Drata or Secureframe as evidence against a control instead of being re-typed by a human the week before an audit.
The methodology the engagement follows and the report cites.
Every finding carries the control references your auditor already works from.
Those mappings are stated as evidence toward a control — never as a pass. We hold no certification of our own and we are not your auditor: a vendor that tells you it has certified you has told you something untrue. Reports are signed by the platform, and optionally counter-signed by a CREST/OSCP-certified reviewer. See what a report contains.
The complete estate scan — code, website, cloud, agents and services, with one pentest scan — is free, no card. Pen testing is priced per engagement, with optional review by a CREST/OSCP-certified reviewer; the platform itself is priced on protected workloads and agent identities.
Every tier’s per-engagement rate is lower than the tier below it — $399, then $299, then from $249. The more you run, the less each one costs, and a solo plan passes the Firm price at about 20 engagements a month. An engagement is one assessment against one client target — that is the $249–399 figure quoted above. These plans are built around a book of clients; if you are securing your own applications rather than clients', the platform is quoted on the size of your estate instead. Full pentest-firm plans →
A free scan. You'll have a real, provable finding in minutes.