Secure enterprise AI usage without disrupting employees.
Siyaj sits between employees and public AI tools to inspect AI-bound traffic, detect sensitive patterns, apply policy decisions, and create safe audit evidence for security teams.
Private technical preview · Local-first evaluation · No source code distribution.
- 01
- AI Traffic
- Inspected before reaching public AI tools
- 02
- Policy Actions
- Allow · Block · Redact · Warn · Log
- 03
- Safe Evidence
- Audit trail without exposing sensitive content
- 04
- Local Preview
- Time-limited controlled evaluation
The Problem
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.
Secrets pasted into AI tools, No visibility into AI usage, Traditional DLP is not prompt-aware, Browser extensions do not fit every environment, Security teams need safe audit evidence.
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.
The Stack
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
Capabilities
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.
Architecture
How Siyaj works.
A single inspection and policy layer between the employee and the public AI tool.
In Real Usage
What happens when an employee uses AI?
Five steps. No new login. No browser extension required.
- 1Employee uses AI normally
- 2Traffic passes through the organization path
- 3Siyaj inspects risk signals
- 4Policy action is applied
- 5Audit evidence is recorded
Business Outcomes
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.
Private Preview
What the private preview includes.
A controlled, time-limited package to evaluate Siyaj locally.
- Local Preview Manager
- One-command local setup
- Read-only dashboard
- Secret blocking demo
- Redaction demo
- Safe audit evidence view
- Doctor / status checks
- Time-limited signed trial license
- No source code distribution
Private preview is for controlled evaluation with synthetic or approved test data.
Security and Leadership
Built for teams responsible for AI risk.
Practical outcomes for the people who carry AI risk and AI adoption.
For Security Teams
- Detect risky AI usage
- Investigate events with safe evidence
- Reduce secret leakage risk
- Prepare for future SIEM and notification paths
For Technology Leaders
- Enable AI adoption responsibly
- Avoid blocking productivity
- Build governance around public AI usage
- Evaluate 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.
FAQ
Common questions.
Get Access
Ready to evaluate safer AI adoption?
Request access to the private technical preview and evaluate Siyaj in a controlled local environment.