Soon in Private Beta

Enforce AI policy
locally.
Keep sensitive data
in-house.

Analyzes adversarial prompts without calling an LLM. Detects injection, obfuscation, multi-turn manipulation, and data leakage — enforced entirely on your infrastructure.

Apply as Design Partner →

Want to test the engine first?

Run Enforcement Assessment

Try our challenge game, no invitation required → Coming Soon

8-Layer Security Architecture

Every layer independently enforced. No single point of failure. No trust assumptions.

⚡ Threat Coverage
What AI.MMUNIZED Stops

Built against the full OWASP LLM Top 10 and the most advanced real-world attack patterns targeting AI systems.

Direct Prompt Injection
Detected
Classic override attempts, role-play escapes, system prompt leakage, and direct jailbreak variants — caught before they reach your models.
Semantic Obfuscation
Detected
Encoding tricks, homoglyphs, indirect language, and metaphorical attack patterns analyzed at the semantic level, not just surface text.
Multi-Turn Attacks
Detected
Slow context manipulation across conversation turns tracked at the session level. Patterns that span messages don't escape correlation.
Agent Indirect Injection
Detected
Attacks embedded in tool outputs, retrieved documents, and external data sources inspected before they influence agent reasoning.
Low-and-Slow Recon
Detected
Distributed probing and slow behavioral drift detected by continuously updating baselines — not just snapshot rule matching.
PII & Data Leakage
Blocked
Credit cards, IDs, medical records, API keys, and passwords detected in both inputs and outputs, automatically redacted before exposure.
◎ Enforcement Assessment

See the engine work
on your own prompts.

Submit a prompt — adversarial or benign — and receive a full enforcement trace: intent classification, threat signals detected, policy decision, and a complete decision trace. No LLM involved at any stage.

🔍
Intent Classification
What the prompt is actually trying to do
⚠️
Threat Signals
Injection, obfuscation, PII, and manipulation flags
⚖️
Policy Decision
Allow, block, or redact — with full rationale
🧾
Decision Trace
Full rationale — what was detected, what was applied, and why
Run Enforcement Assessment →

Requires approval · No data retained · No LLM calls made

◎ Design Partners

Shape the product
before it launches.

We're selecting a small number of design partners to help shape AI.MMUNIZED ahead of launch. Apply to be considered — and get early access to the pipeline before anyone else.