See it. Enforce it. Prove it.
Do you know what your AI
is actually doing?
See what your AI systems do under stress. Stop bad outputs before they reach users. Prove every decision was monitored and enforced. Proof builds itself.
Or: live demo · explore Enforce · pip install glacis-autoredteam
See it in action
Watch governance enforced in real time
An AI request arrives. Safety policies evaluate. A decision is made. A cryptographic receipt is signed. All in under 50 milliseconds.
Watch the live demoThe journey
Visibility first.
Enforcement second.
Proof third.
Start with a free scan of any AI system. When you’re ready, add runtime enforcement. Proof accumulates automatically while you work.
autoredteam
Free · Open Source
“Is my AI doing what I think it’s doing?”
Point at any AI system. Get a behavioral assessment in minutes. You don’t need to know what “good” looks like — GLACIS discovers your baseline, you refine it. Toxicity, hallucination, jailbreak resistance, PII leakage, prompt injection — all version-pinned and repeatable.
pip install glacis-autoredteam
Enforce
From $49/mo
“Is it still doing it — and can I control it?”
Define the safety policies that matter for your deployment — GLACIS enforces them at runtime. Continuous governance across your entire AI fleet with drift detection and real-time dashboards.
- Fleet-wide visibility
- Permit / deny / escalate
- Purpose-built SLM (zero egress)
Notary
Included in Pro ($499/mo) · Built on OVERT v1.0
“Can I prove it — to someone who doesn’t trust me?”
Cryptographic receipts for every consequential AI decision. Third-party witnessed, tamper-evident, independently verifiable. Proof builds itself — evidence accumulates while you use the other tools. Powered by the OVERT open standard for verifiable AI evidence.
- Tamper-proof audit trail
- Independent verification
- Zero-egress architecture
How it works
Nobody else spans visibility → enforcement → proof
Eval tools stop at benchmarks. GRC platforms stop at dashboards. GLACIS connects the entire journey — from your first scan to a cryptographic receipt that stands up in regulatory review.
“They detect. We attest.”
One platform, three layers
autoredteam scans your AI. Enforce adds runtime governance. Notary generates cryptographic proof. Each works independently — together they close the accountability gap.
Purpose-built SLM
Our specialized small language model runs locally, producing version-pinned scores. Your prompts, responses, and PHI never leave your environment.
Evidence that compounds
Every scan, enforcement action, and proof is cryptographically signed. Build an unbroken chain of evidence that demonstrates continuous control and completes the audit story.
Beyond dashboards
Eval tools give you a snapshot. Compliance platforms give you a checkbox. GLACIS gives you independently verifiable, per-inference evidence that your controls actually ran.
Zero Egress
Data stays local
Shadow → Enforce
Go live when ready
Tamper-proof
Crypto signatures
<50ms
Total overhead (p95)
Featured in
Why now
Agentic sprawl meets regulatory convergence
AI systems are deploying at a pace that outstrips every governance mechanism built for the last generation of software. The regulatory response is accelerating at the same speed.
The OpenClaw moment
OpenClaw hit 247k GitHub stars and 12% of its marketplace was immediately compromised. Agent ecosystems are growing faster than anyone can vet them. If you can’t see what your AI is doing, you can’t secure it.
Every compromised agent tool is a potential supply chain attack on every system that calls it. Visibility isn’t optional — it’s the prerequisite.
Three deadlines, one summer
Colorado AI Act — June 2026
Rebuttable presumption of reasonable care for deployers who demonstrate NIST AI RMF compliance with verifiable evidence.
EU AI Act — August 2026
High-risk AI obligations go live. Articles 12 and 14 require logging, human oversight, and verifiable records.
California ADMT — Already in effect
Automated decision-making technology disclosures and opt-out requirements.
The window is closing.
Organizations that build visibility now will have enforcement and proof by the time deadlines hit. Organizations that wait will be scrambling.
See it in action
Watch Governance Enforced in Real Time
An AI request arrives...
Integrations
Works with your stack
You’ve chosen your guardrails. GLACIS makes them provable. We integrate at the infrastructure layer — your tools, your policies, your environment.
“We’re here to help everyone navigate the complexity of making AI systems secure and reliable at scale, so the next generation of software can also become the next generation of trusted infrastructure.”
Who we help
Visibility and proof for every stakeholder in your AI pipeline
Healthcare AI Vendors
Get through procurement faster with proof
Health Systems
Evidence for discovery — before you need it
Financial Services
SR 11-7 model risk with cryptographic proof
EU AI Act
Article 12 & 14 evidence, continuously proved
FAQ
Common questions
What is autoredteam?
It’s our free, open-source behavioral assessment tool. Point it at any AI endpoint and get repeatable scores for toxicity, hallucination, prompt injection, PII leakage, and more. Version-pinned, so your results are comparable across runs and models.
We already have SOC 2 / are working toward HITRUST
Great — those cover IT controls. AI-specific assurance addresses model behavior, decision audit trails, and content safety risks that SOC 2 and HITRUST don’t cover. They’re complementary.
How is this different from Promptfoo or other eval tools?
Eval tools give you a snapshot. GLACIS gives you the full journey: behavioral assessments (autoredteam) feed into runtime enforcement (Enforce), which generates cryptographic proof (Notary). Nobody else connects visibility to enforcement to independently verifiable evidence.
Does GLACIS just monitor, or does it actually enforce?
Both. You define controls declaratively — which guardrails to enforce, at what confidence thresholds, with what failure modes. Enforce evaluates every AI request against your active policy and makes real-time permit/deny decisions. You start in shadow mode (observe only) and transition to enforcement when ready. The transition itself is attested.
What if we’re not ready for enforcement yet?
Start with autoredteam — it’s free and gives you immediate visibility. When you’re ready to enforce, add Enforce. When you need proof for auditors or regulators, turn on Notary. Each layer works independently, but they’re stronger together.
Start seeing what your AI is doing.
pip install glacis-autoredteam is the fastest way to behavioral benchmarks. Book a demo for runtime enforcement. Or take the free governance assessment.
pip install glacis-autoredteam
Behavioral benchmarks for any AI system. Runs locally. Results in minutes.
autoredteam.com →Book a Demo
25-minute walkthrough of Enforce and Notary attestation.
Schedule →Join the Starter Waitlist
Redteaming, enforcement, and attestation for up to 10K events/mo.