AITALON AIGate
AITalon in Telegram Presentation Brochure

AIGate Unified platform for controlling AI agents and LLMs

AIGate significantly reduces business risks from data leaks and attacks on AI while controlling AI-agent behavior.

MODULE_01 ACTIVE

Data masking

AIGate detects and masks PII, secrets, and business data before a request reaches an LLM, keeping source values inside the protected perimeter.

PIILLM
CONTROL PLANE
MODULE_02 ACTIVE

AI agent control

Access policies inspect every API, MCP, and tool call; risky actions require approval or are blocked before execution.

APIMCP
CONTROL PLANE
MODULE_03 ACTIVE

Continuous behavior audit

AIGate combines prompts, policy decisions, and agent actions into one timeline for investigations, SIEM, and production oversight.

SIEMLOG
CONTROL PLANE
AIGate Architecture

AI agent / LLM client -> llm-gate / agent-gate -> active policy (admin-gate) + service registry -> target LLM / enterprise integration

AG

Admin Gate

:8000

Django control plane: UI + API for policies, audit, billing, RBAC, API tokens, alert settings, and service instances.

LG

LLM Gate

:8001

OpenAI-compatible data plane: /v1/chat/completions, /metrics, /health. Policy checks, JWT auth, rate limits, redaction, audit.

IG

Agent Gate

:8002

Agent integration data plane: /proxy/{integration_id}/{path} and /mcp/{integration_id}. Routing and auth come from admin-gate.

CT

Controller

:8003

Recommendation service: /suggest. Analyzes events and active policy to suggest control and cost optimizations.

MS

Data masking

Policy DSL + rules engine for redacting secrets, PII, and sensitive attributes before requests leave the perimeter.

AU

Full Audit

Event pipeline and JSON logs with correlation_id: who called what and what happened. Export, alerts, and /health /ready checks.

Defense against AI agent attacks
ALLOW
Safe actions
REVIEW
Risky operations
BLOCK
Critical attacks
AG

AI AGENT ATTACKS

CRITICAL

AIGate classifies HTTP, API, and MCP actions as reads, changes, or destructive operations. Attempts to delete data, modify critical objects, or act without an applicable policy are blocked or routed for operator approval.

MCP

DANGEROUS MCP & TOOL CALLS

HIGH

Policies restrict available tools, operations, paths, and arguments. Unknown high-risk calls receive an additional check, while denied tools are not exposed to the agent.

SS

SSRF & ROUTE SPOOFING

CRITICAL

Outbound addresses are validated before execution: an agent cannot arbitrarily target the internal network, bypass an approved integration, or spoof trusted X-AIGATE headers.

BH

EMPLOYEE & AGENT BEHAVIOR

MODULE

A dedicated module attributes actions to the employee, initiator, and verified agent and highlights risk factors, rejected approvals, and destructive operations. Employees and agents are analyzed separately; raw prompts, secrets, and IP addresses are excluded from behavior aggregates.

LK

DATA LEAK

CRITICAL

Secrets, API keys, passwords, and code-exfiltration signals are detected and blocked before data reaches an external model or tool.

INJ

PROMPT INJECTION

HIGH

The system detects prompt injection and malicious instructions that attempt to make a model or agent bypass policy or invoke a denied tool.

PII

PII / PERSONAL DATA

HIGH

Personal data is masked or replaced with safe tokens before it leaves the protected perimeter.

AB

ABUSE

MEDIUM

Request, token, and outbound-call limits contain overload, uncontrolled loops, and high-volume agent actions.

Admin Dashboard
DB

Dashboard

Metrics visualization: traffic, blocks, token cost, agent activity in real time.

PL

Policies

Flexible rules per agent: allowed models, request limits, content filtering.

TK

Tokens & Keys

API key management: issue, revoke, rotate. Multi-level access rights.

RP

Reports

Automated security and usage reports. PDF, CSV export.

REAL-TIME METRICS
Requests / hour 12847
Blocked threats 342
Data masked 8923
Active agents 47
TOP-6 Business Tasks for AIGate

Six practical scenarios most teams solve first when launching and scaling AIGate.

LLM Cost Control

#01

Monitor and optimize language-model API spending with budget limits, token tracking, and department-level controls.

APILLM

Confidential Data Filtering

#02

Automatically detect and mask secrets, personal data, and trade secrets before requests are sent to LLMs.

PIILLM

AI Agent Action Audit

#03

Full request/response logging with actor traceability and SIEM-friendly transparency for security teams.

SIEMAPI

AI Usage Policies

#04

Centralized rules for allowed models, restricted topics, and context boundaries aligned with corporate security.

RBACLLM

Unified LLM Gateway

#05

One API for all models with routing, provider failover, and load balancing across your AI stack.

APILLM

Vibe Coding Control

#06

Developers connect to models through one gateway without sharing personal provider tokens. Keys stay centralized, leakage risks are reduced by policy, and every request remains auditable.

APIRBAC
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FAQ

Frequently asked questions about AIGate

Can I see an AIGate demo?

Yes. Our specialists can show you AIGate in a demo session at a convenient time.

How do I order an AIGate pilot?

Submit a request on the website using the “Order pilot” button. Fill out the short form and our team will contact you.

Is there business cost control?

Yes. The platform shows who uses AI, what is happening across agent and LLM traffic, and how much it costs the company.

Does AIGate control AI agent actions?

Yes. Policies define which data can be read, which can be changed, and which operations must be blocked immediately.

How does AIGate protect data?

Secrets and passwords are detected and blocked before a request is sent. Personal data is masked in line with regulatory requirements. AIGate also detects attempts to bypass restrictions and blocks malicious instructions.