Enterprise AI Security & Governance
Govern the AI your enterprise already uses.
Siyaj shows you where AI is being used, enforces your policies before sensitive data leaves, and keeps the evidence for every decision — running entirely inside your environment.
- Runs in your environment
- Arabic and English
- Now in private preview
The problem
Security can't govern what it can't see.
AI reached your teams faster than governance did. Most security functions still can't answer four basic questions.
- Which AI services are in use
- Who is using them
- What data is being shared
- Whether policy is being followed
The platform
Discover. Control. Protect. Understand. Govern.
One platform for enterprise AI usage — discovery, control, protection, intelligence, and audit — deployed inside your environment.
Discover
Know where enterprise AI is being used.
- AI services in use — sanctioned or not
- Usage and risk in one view
Control
Set the rules for how AI can be used.
- Policies by service, team, or risk
- Start by watching, enforce when ready
Protect
Stop exposure before it leaves.
- Keys, credentials, and sensitive data
- Risky prompts in Arabic and English
Intelligence
The SYG AI Engine reads meaning, not just patterns.
- Semantic and deterministic signals, together
- Verified in shadow before it ever enforces
Govern
Keep evidence for every decision.
- A record for every allow, warn, or block
- Evidence packs for audit and review
How it works
One checkpoint between your people and public AI.
Siyaj inspects AI-bound traffic through the proxy you already run. No agents, no browser extensions, nothing new for employees to learn.
Evidence & audit — every decision, none of the sensitive content
- 1
Connect
Route AI-bound traffic through your existing proxy.
- 2
Inspect
Siyaj checks each request locally, in milliseconds.
- 3
Decide
Your policy applies — allow, warn, redact, or block.
- 4
Record
Every decision lands in the evidence log — signal, risk, and action; never the sensitive content.
- 5
Review
Your team sees usage, risk, and readiness in the security portal — in Arabic or English.
Behind it: the SYG AI Engine — deterministic security checks paired with local semantic intelligence. Testable, explainable, and entirely local; new intelligence runs in shadow mode until it has proven itself.
Why Siyaj
Built for enterprises that can't send their data out.
Runs in your environment
Inspection, policy, and evidence stay in your deployment. None of it routes through us.
Nothing leaves
Employee prompts are never sent to an external AI service for analysis.
Arabic as a first language
Arabic, Gulf Arabic, English, and mixed usage are treated as first-class — not translated afterwards.
Evidence, not just alerts
Every decision is recorded with its signal, risk, and outcome — without storing the sensitive content.
Designed around NIST AI RMF and ISO 27001 control principles.
Evidence
Proven, not promised.
Every detection change is measured against thousands of multilingual security cases before it ships.
- 4,800+
- multilingual security test cases behind every detection change
- 0
- employee prompts sent to external AI services
- Milliseconds
- added to an inspected request
We publish results as they are — including what doesn't work yet.
What your security team keeps
- timestamp
- 2026-09-05 14:32:07Z
- destination
- chat.public-ai.example
- signal
- aws-access-key
- risk
- high
- policy
- block-secrets
- action
- BLOCK
- matched_content
- excluded by design
Illustrative record. The sensitive content itself never enters the log.
FAQ
Questions security teams ask.
Get started
See Siyaj in your environment.
A walkthrough with our team first, then a private evaluation on your own infrastructure.
- 1
Walkthrough
A guided tour of the platform, and your questions answered.
- 2
Scoping
We map your traffic path together with your team.
- 3
Private evaluation
A time-limited license, running on your infrastructure.