Independent AI assurance

Break your AI
before anyone else does.

A jailbreak, a poisoned document, a coaxed tool call: your AI meets each one before a hostile user brings it, and you hold a signed record of how it answered. Your auditor can read that record without taking your word for it, or ours.

First scan free, a probe plan within two business days

11
attack classes, every scan
4
frameworks auto-mapped
∞
continuous re-verification
0
model, cloud or security owners
Method

Connect. Attack. Sign.

Give Probative one endpoint. The battery runs on a schedule you set, and every result is signed as it lands.

Diagram of eleven adversarial probes striking an AI system, some deflected, one landing
Fig. 01 — attack surface11 classes
01 / Connect

Point Probative at your AI

An API endpoint or a chat interface is enough. There's no SDK, no code change and no access to your training data.

02 / Attack

The battery runs on repeat

All eleven attack classes run on every scan. An independent LLM judge grades each result as pass, fail or degraded, against published criteria.

03 / Sign

Every finding, signed

Each finding is hashed into a sha256 chain and signed with ed25519, then rolled into an evidence pack for each framework. Your auditor can check the chain without asking us.

The battery

Eleven ways your AI can fail. Tested on every scan.

PRB-01

Jailbreak

Role-play, obfuscation, and multi-turn escalation attempts to bypass your system prompt.

PRB-02

Prompt injection

Hostile instructions smuggled through user content, documents, and tool outputs.

PRB-03

PII exfiltration

Attempts to extract personal data your system holds or has seen.

PRB-04

Bias

Differential treatment across protected characteristics in identical scenarios.

PRB-05

Hallucination

Confident fabrication under pressure: citations, numbers, people, precedent.

PRB-06

Toxicity

Harmful output under provocation, adversarial phrasing, and persona pressure.

PRB-07

Refusal drift

Whether your guardrails are the same today as the day you shipped them.

PRB-08

Data governance

Leakage of system prompts, internal tools, and configuration through the front door.

PRB-09

Tool misuse

Coaxing your agent into calling the wrong tool, with the wrong arguments, on someone else's behalf.

PRB-10

RAG exfiltration

Pulling retrieval-indexed documents out through the answers they ground.

PRB-11 · agentic

Excessive agency

Whether your agent stays inside its mandate when an attacker tries to widen it.

Enforcement

Know what enforces when.

The 2026 Digital Omnibus moved the EU AI Act's high-risk deadlines, so an "August 2026 high-risk deadline" is a date that no longer exists. Here is the schedule as amended, with the date each obligation reaches you.

Aug 2, 2025

GPAI rules applied

Obligations for general-purpose AI model providers took effect.

Aug 2, 2026enforcing

GPAI fines · Article 50 · Article 4

The AI Office's enforcement powers activate: fines up to 3% of global turnover or €15M for GPAI providers. Article 50 transparency — chatbot disclosure, deepfake labeling — and Article 4 AI literacy enforce. Only Article 50(2) machine-readable marking of synthetic content slipped, to Dec 2, 2026.

Dec 2, 2027

Annex III high-risk obligations

Stand-alone high-risk systems under Arts. 9–15, in hiring, credit, education, essential services and biometrics, postponed from 2026 by the Digital Omnibus. Every month of behavioral evidence you sign before then is a month your conformity file can show.

Aug 2, 2028

Annex I embedded high-risk

High-risk obligations for AI embedded in regulated products — machinery, medical devices, vehicles.

The vault

Evidence your auditor can verify without trusting us.

Every probe result is hashed into a chain for that system and signed. Change one record and the chain breaks, and anyone who checks can see exactly where.

Three sealed evidence records linked into a signed chain
Fig. 02 — the sealed chained25519

Independent by Design

Probative has no stake in your model, your cloud or your security vendor. A judge that grades its own remediation isn't a judge.

Untested Means Untested

When no probe tests how a control behaves, Probative reports that control as untested and leaves the gap in plain view. It never maps a control it didn't test.

Mapped for Your Auditor

Findings roll up to the EU AI Act, NIST AI RMF, ISO 42001 and the Colorado AI Act. One scan, four evidence packs.

The difference

Documented is not tested.

Governance platforms inventory your AI and collect attestations. Eval libraries test what your own team thought to test. Neither hands your auditor evidence they can verify without trusting you.

CapabilityGRC / governance platformsDIY eval librariesProbative
Adversarial behavioral testingQuestionnaires & policiesIf you build it11 attack classes, every scan
Independent judgeSelf-attestedGrades its own homeworkNo stake in your stack
Tamper-evident evidenceEditable recordsLogs & spreadsheetssha256 chain, ed25519 signed
Framework mappingControl checklistsManualEU AI Act · NIST · ISO 42001 · Colorado
Continuous re-verificationAnnual review cycleWhen someone remembersScheduled, signed, on repeat
Pricing

Start free. Prove it monthly.

Spot Check
$0
one scan, on us
  • Full 11-class probe battery
  • Independent judge grading
  • Snapshot evidence report
Start Free
Pulse
$450
per month · annual by invoice
  • Continuous scheduled scans
  • Signed evidence chain
  • All four framework mappings
  • Scheduled re-verification
Start With Pulse
Assurance
$1,900
per month · annual by invoice
  • Everything in Pulse
  • Drift alerts between scans
  • Audit-grade evidence packs
  • Multi-system portfolio view
  • Regulated-buyer questionnaire support
Start With Assurance
Step zero

Know which rules apply first.

Probative produces evidence against obligations you already know you have. If you don't yet know which of the EU AI Act, Colorado, Texas, Illinois, NYC or California regimes reach your systems, start with Obligent, our sibling tool. It tells you which obligations, from which rule, as of which date, cites the rule for each, and says needs analysis where a rule can't settle it. Obligent finds the obligation; Probative proves the behavior.

One thing to know before you click: Obligent is in invite-only beta, and all 35 rules in its corpus are still marked draft until qualified counsel signs each one off. That review is its launch gate, and it has not cleared it. Use it to frame the question you take to your counsel.

See Which Rules Apply →

What Probative is not. Probative is behavioral evidence, not legal advice, and not a certification body. Evidence packs show what your AI did under attack, mapped to framework controls — your counsel and your auditor decide what it means. Probative is currently in private pilot; every claim on this page describes the shipped probe battery and evidence engine, not aspirations.

Your conformity file
starts with one scan.

Annex III obligations reach stand-alone high-risk systems on December 2, 2027. Every month of signed behavioral evidence you hold by then is a month your file can show, and the first scan is free. Ready to put your AI on trial?