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Real-time runtime protection for GenAI apps, agents, and MCPs
Prompt injection and jailbreak detection/prevention
Advanced PII detection and data loss prevention (DLP)
Ultra-low latency (sub-50 ms) with 0.01% production false positive rate
Multimodal and model-agnostic coverage across 100+ languages
Central policy control with no-code customization
AI red teaming with risk-based vulnerability management
Continuous threat intelligence from Gandalf’s 1M+ hackers and 35M+ attacks
API-first, cloud-native deployment (SaaS or self-hosted containers)
Easy integration and single-line code insertion
Scale to 1M+ transactions per app/day and hundreds of prompts/sec
Content moderation for violent, dangerous, and inappropriate content
Integrations with observability and SIEM tools (Grafana, Splunk)
Adaptive protection that evolves without code changes
Recognized by Gartner and cited in OWASP LLM/GenAI Top 10 guidance
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Protect customer-facing chatbots from prompt injections, jailbreaks, and toxic content without degrading UX.
Enforce centralized security policies across multiple LLM apps and agents via a single control plane.
Detect and prevent PII exposure and data exfiltration with advanced DLP and content moderation controls.
Secure multilingual GenAI workflows (e.g., Portuguese and Spanish markets) while meeting strict risk and regulatory requirements.
Protect tutoring assistants for children with safe content filtering and runtime guardrails.
Safeguard AI-driven support agents from tool misuse and indirect prompt attacks in live customer interactions.
Harden RAG pipelines and model endpoints against poisoning, leakage, and jailbreaking with real-time inspection.
Secure multimodal chat and audio bots across any model with sub-50 ms latency.
Continuously test defenses using Lakera’s AI red teaming (Gandalf) and prioritize remediation by business risk.
Scale securely to 1M+ transactions per app/day with SIEM integrations (e.g., Grafana, Splunk) and observability.