Golf

Product Introduction

1. Definition: Golf is an enterprise-grade AI governance and security platform designed for centralized management of AI agents and MCP servers (Machine, Code, Process). It operates as a policy enforcement layer within cloud or on-premises infrastructure.
2. Core Value Proposition: It enables organizations to achieve centralized visibility, enforce granular access controls, and maintain compliance-ready audit trails for AI workloads, addressing critical security gaps in the agentic AI era.

Main Features

1. Real-Time Threat Detection & Prevention:

   • How it works: Golf’s AI engine scans every AI-agent interaction in real-time, blocking threats like data leaks, indirect prompt injections, and PII exposure. It redacts sensitive data before requests reach internal systems using pattern-matching algorithms and ML models.
   • Technology: Integrates inline via API gateways or sidecar proxies, supporting VPC deployments.

2. Identity-Aware Access Control:

   • How it works: Ties every agent action to human identities via Okta, Azure AD, or custom IdPs, replacing shared API keys. Enforces least-privilege policies per user/tool (e.g., "Agent X can access Database Y only during business hours").
   • Technology: SAML/OIDC integration with dynamic policy engines.

3. Unified Audit Trails & Compliance:

   • How it works: Streams structured logs to Splunk, Sentinel, or SIEMs with full data lineage. Captures who accessed what, when, and how, enabling SOC 2/GDPR compliance without custom tooling.
   • Technology: Immutable log pipelines with SIEM-native formatting.

Problems Solved

1. Pain Point: Shadow AI proliferation (e.g., unauthorized ChatGPT usage, rogue MCP servers) causing uncontrolled data access and compliance risks.
2. Target Audience:
   • AI Governance Officers: Oversee policy compliance and risk.
   • Security Engineers: Detect threats in AI workflows.
   • IT/DevOps Teams: Deploy agents without rebuilding auth/logging.
3. Use Cases:
   • Preventing PII leakage from customer-facing AI agents.
   • Auditing MCP server access to financial databases for compliance.
   • Blocking prompt injection attacks targeting internal tools.

Unique Advantages

1. Differentiation: Unlike API gateways or legacy SIEMs, Golf combines agent-specific threat detection, identity-based policies, and compliance automation in one platform. Competitors lack real-time AI behavioral analysis.
2. Key Innovation: Zero data exfiltration architecture – processes all data within the customer’s VPC. Hosted control planes never touch sensitive payloads.

Frequently Asked Questions (FAQ)

1. How does Golf prevent AI agents from leaking sensitive data?
   Golf intercepts all agent-server communications, redacting PII and blocking high-risk requests in real-time using its AI threat engine.

2. Can Golf audit actions taken by AI agents?
   Yes, it generates immutable, identity-attributed audit logs showing every agent operation, data access attempt, and policy violation for compliance reporting.

3. Does Golf require re-architecting existing AI tools?
   No. It integrates natively with common IdPs, SIEMs, and agent frameworks (e.g., LangChain) via APIs, acting as a non-invasive security layer.

4. How does Golf handle deployment in regulated industries?
   It supports full VPC deployment, ensuring data never leaves your environment, and provides pre-built templates for SOC 2/HIPAA compliance.

5. What distinguishes Golf from traditional API security solutions?
   Golf specializes in AI-specific threats (e.g., prompt injections), offers agent-level visibility, and enforces policies based on AI behavior patterns, not just endpoint security.