SIYAJ
Secure enterprise AI usage without disrupting employees.
AI adoption is moving faster than enterprise controls.
Employees are already using public AI tools. Blocking AI slows productivity, but unmanaged usage can expose secrets, credentials, internal data, and sensitive business context.
What Siyaj adds to your AI traffic path.
Four focused layers that sit alongside your existing enterprise network controls.
Traffic Layer
- Proxy / SWG path
- ICAP inspection
- AI provider classification
Detection Layer
- API keys
- Private keys
- Credentials
- Sensitive patterns
- Prompt risk
Policy Layer
- Allow
- Block
- Redact
- Warn
- Log
Evidence Layer
- Audit log
- Risk score
- Signal type
- Provider
- Timestamp
- Outcome
- Notification status
Siyaj capabilities
A complete safety layer for governing public AI usage — from traffic inspection and policy decisions to audit evidence and private preview operations.
AI Traffic Inspection
- Inspect AI-bound traffic
- Proxy / SWG path support
- ICAP-style inspection model
- Public AI destination classification
- Prompt / file / API request awareness
Secret & Sensitive Pattern Detection
- API key detection
- Private key detection
- Credential pattern detection
- Sensitive data pattern detection
- Prompt risk signals
- Configurable detection rules
Policy Decisions
- Allow
- Block
- Redact
- Warn
- Log only
- Monitor-first evaluation mode
Safe Audit Evidence
- Decision record
- Signal type
- Risk score
- Provider / destination
- Timestamp
- Outcome
- Notification status
- Metadata-first audit trail
Security Team Visibility
- Read-only dashboard
- Recent events view
- Provider traffic view
- Policy outcome visibility
- POC evidence view
- Safe screenshots guidance
Private Preview Operations
- Local Preview Manager
- Signed trial license
- Time-limited evaluation
- One-command local stack direction
- Doctor / status checks
- Install instructions
- No source code distribution
Built to support the full journey: discover AI usage → inspect risk → apply policy → record safe evidence → evaluate locally.
How Siyaj works.
A single inspection and policy layer between the employee and the public AI tool.
Connect
Traffic flows through the organization's approved proxy or SWG path.
Inspect
Siyaj inspects AI-bound traffic for secrets, credentials, sensitive patterns, and prompt risk.
Govern
Siyaj applies policy decisions and records safe audit evidence for security teams.
What happens when an employee uses AI?
Five steps. No new login. No browser extension required.
What your organization gains.
Business-first results for safer AI adoption.
Safer AI adoption
Enable public AI usage with a safety layer in front of it.
Lower secret leakage risk
Detect and stop API keys, tokens, and credentials before they leave.
Better security visibility
See how public AI is being used through safe operational metadata.
Policy-based control
Allow, block, redact, warn, or log — by provider, group, or risk.
Employee workflow continuity
Employees keep using the tools and habits they already have.
Audit-ready governance
A continuous, safe evidence trail for security and compliance teams.
What the private preview includes.
A controlled, time-limited package to evaluate Siyaj locally.
Private preview is for controlled evaluation with synthetic or approved test data.
Built for teams responsible for AI risk.
Practical outcomes for the people who carry AI risk and AI adoption.
For Security Teams
- 1Detect risky AI usage
- 2Investigate events with safe evidence
- 3Reduce secret leakage risk
- 4Prepare for future SIEM and notification paths
For Technology Leaders
- 1Enable AI adoption responsibly
- 2Avoid blocking productivity
- 3Build governance around public AI usage
- 4Evaluate locally before rollout
Built for governed AI adoption
Designed with governance, auditability, and risk-management principles aligned with frameworks such as NIST AI RMF and ISO 27001-style control thinking.
Common questions.
Ready to evaluate safer AI adoption?
Request access to the private technical preview and evaluate Siyaj in a controlled local environment.
Please do not include secrets, credentials, or confidential data in this form.