Enterprise LLM Gateway and AI Guardrails

Secure AI at Scale Without Compromise

Enterprise AI adoption is accelerating faster than security teams can manage. Your organization needs more than basic guardrails—you need comprehensive AI governance that protects sensitive data, ensures compliance, and enables safe innovation across every AI interaction. Invinsense LLM Gateway is where you start this journey.

The Enterprise AI Security Challenge

Explosive AI Growth

Organizations are deploying AI agents, LLM-powered applications, and generative AI tools at unprecedented speed. Every interaction represents a potential security risk—from prompt injection attacks to inadvertent data leakage of regulated information.

Traditional security tools weren't designed for the unique threat landscape AI creates. Security teams need purpose-built controls that understand AI-specific vulnerabilities while maintaining the performance enterprises demand.

Compliance at Risk

Regulatory frameworks like GDPR, HIPAA, and PCI DSS don't exempt AI systems. Healthcare providers, financial institutions, and regulated enterprises face severe penalties if AI applications expose protected information.

Without proper governance, a single misconfigured AI agent could expose thousands of customer records, trigger regulatory investigations, and damage brand reputation irreparably.

Real. Relentless. Resilient.

Think of Invinsense Real MDR as your dedicated concierge for cybersecurity, compliance and remediation. Gain round-the-clock security with unmatched breadth and depth of coverage, as we handle exposures, fix & prioritize vulnerabilities and manage compliance, security validation and remediation on your behalf while keeping you informed every step of the way.

Invinsense Real MDR features:

  • 24/7 Always-on Attack Surface Monitoring
  • 24/7 Threat Hunting and Rapid Response to Live Threats
  • Continuous Threat Exposure Management
  • Security playbooks powered by AI agents and ML models
  • Extensible XDR Platform. Multi-signal Threat Intelligence
  • Detections Mapped to MITRE ATT&CK Framework
  • Playbook-driven security controls validation
  • Continuous Compliance and Remediation-led Security Actions
Concierge-level

Real security outcomes

From its XDR that combines SIEM, SOAR, advanced deception, multi-signal threat intelligence and case management to its OXDR, which covers Exposure Assessment and Adversarial Exposure Validation, Invinsense Real MDR brings together powerful and purpose-built security stack and battle-ready security teams (Offensive strikers, DevSecOps & App Sec Engineers and Compliance experts) to deliver high-fidelity, faster and business-context driven security results.

A win for everyone.

  • CIO/CTO: Cybersecurity aligned with business goals and context
  • CISO: An integrated view of exposures and control over threat lifecycles
  • Security teams: Streamlined SecOps, alert fatigue gone for good
  • Chief Risk Officer: Continuous compliance
  • Developers: Engineering level remediation and support for secure app development
Innovative technology

Complete AI Security Gateway

Invinsense LLM Gateway is the enterprise AI security layer built for control, confidence, and compliance. Sitting between your AI applications and external LLM providers, it unifies security, governance, and intelligent routing—ensuring every AI interaction is safe, auditable, and policy-aligned. Think of it as your AI highway checkpoint: monitoring, inspecting, and steering every API call between chatbots, agents, and inference models—so innovation accelerates, but risk never does.
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Unified Gateway

Single integration point connecting enterprise applications and AI agents with multiple LLM providers—OpenAI, Anthropic, Google, Azure, and custom models.

Access Control

Granular role-based permissions ensure the right users access appropriate AI capabilities while maintaining audit trails for compliance.

Intelligent Routing

Automatically route requests to optimal providers based on security policies, cost parameters, and performance requirements.

Data Loss Prevention Built for AI

Traditional DLP tools can't parse unstructured AI prompts or detect context-aware exfiltration attempts. Our platform combines advanced pattern matching with machine learning to identify and prevent sensitive data leakage in real-time.
  • Real-Time Detection

    Scans every prompt and response for PII, PHI, financial data, API keys, and custom-defined sensitive patterns before they reach external LLMs.

  • Contextual Analysis

    Machine learning models understand context to detect sophisticated exfiltration attempts that evade simple pattern matching.

  • Flexible Response

    Configure policies to block, mask, rewrite, or re-route requests containing sensitive data based on your risk tolerance.

  • Pre-built Compliance Templates

    Pre-built detection templates for HIPAA, PCI DSS, GDPR, SOC 2, and other regulatory frameworks ensure comprehensive coverage.

Threat Prevention Across the AI Stack

Multi-Layer Defense

AI applications face unique threats that traditional security tools miss. Our platform provides comprehensive protection against prompt injection, jailbreaking, model poisoning, and adversarial attacks. Integrate seamlessly with your existing CSPM and ASPM tools to extend security coverage across AI models, training data, and inference endpoints.

Contextual Detection of Sensitive Data

Invinsense LLM Gateway uses context-aware PII detection to identify sensitive information in context—catching PII that traditional filters miss. It goes beyond basic pattern matching to understand meaning, reducing false positives while ensuring compliance with data privacy guidelines. Configurable policies let you block, redact, or alert based on your risk tolerance.
| Coming Soon
Prompt Injection Firewall

Detects and blocks malicious prompts attempting to manipulate model behavior or extract unauthorized information.

| Coming Soon
Model Vulnerability Scanning

Continuously assess AI models for known vulnerabilities, misconfigurations, and security weaknesses.

Red Team Simulation

Test your AI defenses with automated adversarial attack scenarios in isolated lab environments.

Governance and Administration

Manage AI usage across your entire organization with centralized controls that scale from individual users to thousands of applications.

Organizational Structure

Define teams, projects, and applications with hierarchical permissions that mirror your business structure.

Usage Controls

Set token quotas, rate limits, and cost budgets at any organizational level to prevent runaway spending.

Audit Trails

Comprehensive logging of all AI interactions for compliance audits, security investigations, and usage analysis.

Cost and Performance Optimization

AI costs can spiral quickly without proper controls. Our dynamic prompt optimization automatically adjusts prompts, context windows, and model selection to deliver better results at lower cost.
40%
Average Cost Reduction
Intelligent routing and prompt optimization reduce token usage without sacrificing output quality.
35%
Latency Improvement
Optimized prompts and strategic caching deliver faster responses across all use cases.
60%
Resource Efficiency
Fair usage policies and automatic throttling prevent resource exhaustion and cost overruns.
Real-time telemetry provides complete visibility into AI spending, usage patterns, and performance metrics—enabling data-driven optimization of your AI infrastructure.

Deploy anywhere

Deploy wherever your AI infrastructure is today - on-premises or in any cloud
On-Prem

On-Prem / Kubernetes

AWS

AWS

Azure

Azure

GCP

GCP

Extensible and Future-Ready

Plugin Marketplace

Extend platform capabilities with pre-built plugins for specialized use cases—industry-specific compliance checks, custom data detectors, integration connectors, and vendor-specific optimizations.

Build your own plugins using our SDK to address unique security requirements or proprietary data protection needs. Share internally or contribute to the community marketplace.

Edge Deployment

Deploy security controls wherever your AI workloads run. Our edge-deployable SDKs bring policy enforcement to mobile applications, IoT devices, and distributed environments.

Maintain consistent security posture across cloud, on-premises, and edge deployments with centralized policy management and distributed enforcement.

API-First Architecture: Every platform capability is accessible via REST API, enabling seamless integration with existing security tools, SIEM platforms, and DevOps workflows.
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Invinsense: Your Twin LLM Gateway, Enforcing Protection and Governance

Invinsense "Twin Gateway" is your intelligent command center for enterprise AI. It answers the critical questions holding your AI adoption back. Acting as the Governing Gateway, it enforces ironclad security, compliance, and cost controls, while contextual detection identifies sensitive data before it leaves your environment. Simultaneously, functioning as the Routing Gateway, it intelligently directs requests to the best-fit, optimal LLM provider and slashes costs by up to 40% through advanced token optimization.
LLM
Core Gateway +
  • Multi-provider LLM connectivity and routing
  • Protocol translation and standardization
  • Load balancing and failover handling
  • Request/response transformation
Security Controls +
  • Prompt injection detection and blocking
  • Adversarial input filtering
  • Output sanitization and validation
  • Jailbreak attempt prevention
  • Model vulnerability assessment
Data Protection +
  • Real-time PII detection and masking
  • Regulatory compliance templates (HIPAA, PCI, GDPR)
  • Custom sensitive data definitions
  • Contextual exfiltration detection
  • Data residency enforcement
Access Management +
  • Role-based access control (RBAC)
  • SSO and directory integration
  • API key lifecycle management
  • Session and token management
Cost & Performance +
  • Dynamic prompt optimization
  • Token usage monitoring and quotas
  • Model selection optimization
  • Caching and response reuse
  • Rate limiting and throttling
Observability +
  • Real-time usage telemetry
  • Security event logging
  • Compliance audit trails
  • Performance metrics and SLAs
  • Cost attribution reporting
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Invinsense Unified LLM Gateway  vs Platform-Dependent Gateways

Capability / Dimension Platform-Dependent Gateways DIY API Gateway + Security Add-ons Invinsense Unified LLM Gateway
Multi-model / multi-provider support — locked to provider X (e.g. only works with their managed LLM) Partial (you must custom wire each Router to OpenAI, Anthropic, self-hosted, custom models
Prompt injection & AI-native security Partial or superficial (only basic filtering) — you must build or bolt on your own Inline firewall, injection detection, red teaming
Data Loss Prevention / PII / PCI detection Very limited or only for that provider Partial or ad hoc Combined pattern + ML models, real-time
Role-based access, multi-tenancy, team/project separation Basic or none (often tied to provider’s identity system) Possible but developer/time intensive Enterprise-grade RBAC, scoped policies
Cost / Token usage metering & control Basic dashboards Highly fragmented Quotas, token accounting, usage attribution
Compliance-ready logging, audit trail Limited to that provider’s logs You must integrate multiple systems Audit logs, retention policies, regulatory formats
Extensibility / Plugins / SDKs Closed or limited plugin ecosystem You custom build plugin logic Plugin marketplace, SDKs for edge/on-prem
Low latency, high performance May incur additional hops or provider overhead Depends on architecture; harder to guarantee Optimized for minimal overhead
Edge / on-prem or air-gapped deployment Usually cloud-only Very hard to custom build securely Support for enterprise isolated environments
Model vulnerability scanning / red-team labs Very limited or nonexistent You would need to build external tools Native support
Vendor lock-in risk High (you are tied to their model stack) Moderate — you control infrastructure, but complexity is high Low (you control gateway, can re-route to new models)
Time to value / ease of integration High if you already use their stack Very long (lots of custom work) API-first, SDKs, ready-built policies

Secure, Simplify, Optimize. Your AI Adoption Journey.

As AI adoption grows, safeguarding your AI apps, agentic workflows and protecting PII data is no longer optional, it’s urgent. Infopercept provides a unified innovation that lets you connect your enterprise AI apps with multiple LLMs, without compromising security and governance.

Welcome to the single source of truth you need for cybersecurity.

Discover complete cybersecurity expertise you can trust and prove you made the right choice!

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