Invinsense LLM Gateway & AI Guardrails
Infopercept Consulting Pvt. Ltd. · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**[Invinsense LLM Gateway & AI Guardrails](https://www.infopercept.com/invinsense/llm-ai-gateway)** is an enterprise-grade platform that enables organizations to securely adopt, govern, and optimize Generative AI and LLM-based applications. Designed for regulated industries and large-scale AI environments, Invinsense acts as an intelligent layer between enterprise applications and AI providers providing centralized control, security enforcement, compliance visibility, and cost optimization across every AI interaction.
Traditional security tools were not built for the unique risks of AI such as prompt injection attacks, data leakage, and uncontrolled API usage. Invinsense solves this challenge through AI-specific governance and guardrails, ensuring that every request and response adheres to your organization’s security, privacy, and compliance requirements.
Show the rest of the publisher’s description (18 more lines)
**The Invinsense Twin Gateway Architecture combines two powerful functions:**
- **Governing Gateway:** Determines “Should I?” enforcing policies, role-based access control, data residency, and compliance mappings.
- **Routing Gateway:** Determines “How do I?” intelligently directing traffic to the most suitable LLM provider based on cost, performance, and security posture.
Together, they deliver complete AI control, transparency, and optimization.
**Key Features**
- **Access Control:** Role-based permissions, OAuth2.0/OIDC integration, and centralized API key lifecycle management.
- **Security Enforcement:** Prompt injection blocking, adversarial input filtering, output sanitization, and real-time data loss prevention (PII, PHI, financial data).
- **Cost Management:** Token tracking, quota enforcement, dynamic prompt optimization, and caching to reduce AI costs by up to 60%.
- **Multi-Model Routing:** Unified interface for multiple LLMs (OpenAI, Anthropic, Google, Azure, private models) with intelligent load balancing and failover.
- **Operational Monitoring:** Real-time telemetry, anomaly detection, SLA tracking, and compliance audit logging.
- **Extensibility:** Plugin marketplace for compliance frameworks and custom connectors, plus SDKs for edge and mobile deployments.
**Business Benefits**
- **Secure AI Adoption:** Prevent data leakage, unauthorized access, and regulatory violations in AI workflows.
- **Compliance Confidence:** Ensure all AI interactions align with enterprise and regional data protection laws.
- **Cost Efficiency:** Optimize token usage and model selection, delivering measurable savings.
- **Operational Visibility:** Gain full observability into AI usage, performance, and risk metrics across your enterprise.
- **Vendor Flexibility:** Connect once, govern everywhere supporting hybrid, multi-cloud, and private AI ecosystems.
**[Invinsense](https://www.infopercept.com/invinsense)** empowers enterprises to accelerate **AI transformation responsibly** protecting sensitive data, enforcing compliance, and controlling costs across all AI-driven operations. Whether you’re building customer chatbots, copilots, or internal AI assistants, Invinsense ensures that innovation happens securely, compliantly, and cost-effectively.
Highlights
Highlighted by the publisher on AWS Marketplace.
Centralized AI Governance and Security Enforcement - Gain unified control over every AI interaction with real-time data loss prevention, prompt injection defense, and compliance enforcement across multiple LLMs.
AI Cost Optimization and Multi-Model Routing - Reduce AI costs by up to 60% through dynamic routing, token optimization, and intelligent caching across providers like OpenAI, Anthropic, Google, and Azure.
Enterprise-Grade Compliance and Observability - Ensure GDPR, HIPAA, and PCI DSS compliance with audit-ready logs, real-time telemetry, and full visibility into AI usage, cost, and performance.
Agent build and provenance
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Sources
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