Infopercept, a global platform-led managed security services provider, today announced the launch of ‘Invinsense LLM Gateway and AI Guardrails,’ a dedicated platform designed to secure and ensure compliance across AI infrastructure. The platform addresses the entire AI spectrum, including AI agents, AI workflows, LLM-powered applications, and generative AI tools.

Commenting on the launch, Jaydeep Ruparelia, CEO, Infopercept, said: “Organizations are adopting AI at unprecedented speed, expanding the boundaries of their attack surface. Every unregulated and unprotected interaction introduces potential security, compliance, and cost risks. With Invinsense LLM Gateway, we have addressed these risks associated with AI adoption for organizations of all types—regardless of industry, geography, or size.”

The Invinsense LLM Gateway serves as an intelligent security layer between AI users, applications, and LLM providers—creating a centralized control point for all AI interactions across the enterprise. It covers the following:

Comprehensive Security

1. Multi-Layer Defense
   AI applications face unique threats that traditional security tools often overlook. Invinsense LLM Gateway provides robust protection against prompt injection, jailbreaking, model poisoning, and adversarial attacks.
2. Data Loss Prevention Built for AI
   Traditional DLP tools cannot parse unstructured AI prompts or identify context-aware data exfiltration attempts. Invinsense LLM Gateway uses advanced pattern matching and machine learning to prevent sensitive data leakage in real time.
3. Support for custom keywords based DLP

Customers can define and secure their own sensitive information and data leak prevention policies

Compliance

1. Data Privacy
   The platform uses context-aware detection to scan every prompt and response for PII, PHI, financial data, API keys, and custom-defined sensitive information before they reach external LLMs, ensuring compliance with global privacy regulations.
2. Compliance Reporting
   Pre-built templates for comprehensive compliance coverage.

Governance and Administration

1. Usage Control
   Organizations can define token quotas, rate limits, and cost budgets across teams or departments to manage and control AI usage effectively.
2. Audit Trails
   Comprehensive logging of all AI interactions supports compliance audits, security investigations, and usage analytics.