AI Traffic Safety Gateway

SIYAJ

AI Traffic Safety Gateway

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.

/ 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
01The 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
02The Stack

What Siyaj adds to your AI traffic path.

Four focused layers that sit alongside your existing enterprise network controls.

1

Traffic Layer

  • Proxy / SWG path
  • ICAP inspection
  • AI provider classification
2

Detection Layer

  • API keys
  • Private keys
  • Credentials
  • Sensitive patterns
  • Prompt risk
3

Policy Layer

  • Allow
  • Block
  • Redact
  • Warn
  • Log
4

Evidence Layer

  • Audit log
  • Risk score
  • Signal type
  • Provider
  • Timestamp
  • Outcome
  • Notification status
03Capabilities

Siyaj capabilities

A complete safety layer for governing public AI usage — from traffic inspection and policy decisions to audit evidence and private preview operations.

01

AI Traffic Inspection

  • Inspect AI-bound traffic
  • Proxy / SWG path support
  • ICAP-style inspection model
  • Public AI destination classification
  • Prompt / file / API request awareness
02

Secret & Sensitive Pattern Detection

  • API key detection
  • Private key detection
  • Credential pattern detection
  • Sensitive data pattern detection
  • Prompt risk signals
  • Configurable detection rules
03

Policy Decisions

  • Allow
  • Block
  • Redact
  • Warn
  • Log only
  • Monitor-first evaluation mode
04

Safe Audit Evidence

  • Decision record
  • Signal type
  • Risk score
  • Provider / destination
  • Timestamp
  • Outcome
  • Notification status
  • Metadata-first audit trail
05

Security Team Visibility

  • Read-only dashboard
  • Recent events view
  • Provider traffic view
  • Policy outcome visibility
  • POC evidence view
  • Safe screenshots guidance
06

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.

04Architecture

How Siyaj works.

A single inspection and policy layer between the employee and the public AI tool.

How Siyaj works in 3 steps
1

Connect

Traffic flows through the organization's approved proxy or SWG path.

2

Inspect

Siyaj inspects AI-bound traffic for secrets, credentials, sensitive patterns, and prompt risk.

3

Govern

Siyaj applies policy decisions and records safe audit evidence for security teams.

AI Traffic Safety Gateway · System Blueprint
BLUEPRINT · 03
1
Employee Browser
Normal employee workflow
2
Organization Proxy / SWG
Approved traffic path
3
Siyaj ICAP Inspection
Detect secrets, sensitive patterns, and AI risk
4
Policy Engine
Apply organization rules
5
Decision
ALLOW / BLOCK / REDACT / WARN / LOG
6
Public AI Tools
AI provider destination
SIDE
Safe Audit Log
Decision, signal, risk score, provider, timestamp, outcome
SIDE
Dashboard Evidence
Security team visibility
Request path
Audit evidence
Policy decision
Inspected traffic
05In Real Usage

What happens when an employee uses AI?

Five steps. No new login. No browser extension required.

1
Employee uses AI normally
2
Traffic passes through the organization path
3
Siyaj inspects risk signals
4
Policy action is applied
5
Audit evidence is recorded
06Business Outcomes

What your organization gains.

Business-first results for safer AI adoption.

1

Safer AI adoption

Enable public AI usage with a safety layer in front of it.

2

Lower secret leakage risk

Detect and stop API keys, tokens, and credentials before they leave.

3

Better security visibility

See how public AI is being used through safe operational metadata.

4

Policy-based control

Allow, block, redact, warn, or log — by provider, group, or risk.

5

Employee workflow continuity

Employees keep using the tools and habits they already have.

6

Audit-ready governance

A continuous, safe evidence trail for security and compliance teams.

07Private Preview

What the private preview includes.

A controlled, time-limited package to evaluate Siyaj locally.

9 INCLUDED
1Local Preview Manager
2One-command local setup
3Read-only dashboard
4Secret blocking demo
5Redaction demo
6Safe audit evidence view
7Doctor / status checks
8Time-limited signed trial license
9No source code distribution

Private preview is for controlled evaluation with synthetic or approved test data.

Apply as a design partner

Request access to the private technical preview and evaluate Siyaj in a controlled local environment.

08Security and Leadership

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.

09FAQ

Common questions.

10Get Access

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.

We only use this information to evaluate preview requests.