AI that maps what your agents can reach, attacks it like a fraud ring would, writes the fix, verifies it against your real workflows and guards it at runtime.
Find the real risk, fix it in minutes, prove your workflows still run. Then do it again on every change.
Your agents read email, Slack, web pages and tickets, and they can touch customer data, payments and internal tools. One hidden instruction is all it takes.
Runs again every time your agent or the attacks change.
36 days: industry median time to fix a high-risk AI finding (Cobalt, 2026).
Share of attacks caught at ≤1% false positives
| Public benchmark | Cryptera engine | Best other tested |
|---|---|---|
| Injection inside prose and code | 98.8% | 95.9% |
| Multilingual prompt injection | 86.7% | 81.7% |
| Prompt extraction | 96.3% | 93.3% |
| Confidential-data demands | 98.9% | 98.3% |
| Jailbreaking | 94.2% | 69.8% |
Built for traffic spikes.
Multilingual detection for multi-market platforms.
Tokenised, PCI DSS-aware architecture.
Deploy in your cloud or an EU region.
Benchmarks published by our engine partner, Sep 2026.
Runtime guardrails on every agent action, and one governed gate for all your internal AI.
| Maps reach | Finds real issues | Fixes them | Proves nothing broke | |
|---|---|---|---|---|
| Identity & AI posture toolsSees access, not the attack | ✓ | — | — | — |
| Security reviews & pentestsPoint in time; fixing is on you | ½ | ✓ | — | — |
| Code scannersBlind to runtime attacks | ½ | ½ | — | — |
| AI red-teaming toolsA list to fix by hand | — | ✓ | — | — |
| Runtime guardrailsCan block legitimate work | — | ½ | ½ | — |
| CrypteraThe whole job, on every change | ✓ | ✓ | ✓ | ✓ |
A governed AI layer over your documents, data and processes. It understands the question, searches only what the user is allowed to see, and returns an answer with sources and a next step. Not a chatbot: a standard for answers that hold up to management, compliance and audit.
Experimenting with AI is not the same as using AI in the business. Without a standard, every team builds its own, IT loses control and the risk of wrong decisions grows.
