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TrustGate real-time protection for LLMs and agents
TrustLens full-stack observability and conversational analytics
TrustTest continuous evaluation and quality monitoring
Generative Application Firewall (GAF) for AI-specific threats
AI Gateway for unified routing, security, monitoring, and billing
Model, code, and dataset vulnerability and misconfiguration scanning
Detailed tracing and logging of every AI interaction
Policy-based guardrails with evidence and approval workflows
Automated, audit-ready evidence collection and framework mapping (OWASP, MITRE, ISO)
AI-powered threat detection with real-time, contextual alerts and automated containment
Zero-trust network architecture with private endpoints and DDoS protection
End-to-end encryption with customer-managed keys and zero-knowledge design
Sub-10 ms response times and 20,000+ RPS throughput with horizontal scaling
Semantic caching to reduce cost and latency
Consumer groups with granular rate limits and role-based access per endpoint
Platform- and model-agnostic deployment across cloud, on‑prem, or hybrid
Open-source core engine with plugin extensibility and personalizable policies
SaaS hosting in EU or US or self-hosting in a private cloud
Smart traffic routing with failover and automatic recovery
Privacy controls with optional anonymization and analytics without storing user data
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Deploy a Generative Application Firewall and real-time guardrails to stop prompt injection, data exfiltration, and adversarial attacks against AI assistants.
Unify traffic management and access to multiple LLMs through an AI Gateway with smart routing, failover, and semantic caching to reduce latency and cost.
Automate evidence collection, map controls to OWASP/MITRE/ISO, and generate audit-ready reports for EU AI Act and sector regulations.
Enforce privacy controls with anonymization options, zero-knowledge architecture, customer‑managed keys, and end‑to‑end encryption.
Secure customer-facing chatbots with real-time monitoring to reduce hallucinations and prevent sensitive data leakage.
Protect clinical AI assistants from unverified diagnoses, enable full traceability, and support compliance in regulated healthcare environments.
Harden autonomous agents handling claims with continuous evaluation, policy guardrails, and detailed audit logs.
Meet stringent governance needs for AI in banking with model‑agnostic controls, role‑based access, and comprehensive logging for KYC/AML workflows.
Increase uptime for AI services using automatic recovery, failover, private endpoints, and DDoS protection.
Leverage real‑time observability and conversational analytics for AI-specific threat hunting and automated incident containment.