Lakera Guard
Product
Lakera Guard is a runtime security product for large language model applications.
- Currently Offered
Lakera Guard is a runtime security product for applications built on large language models. It inspects the input and output of each model interaction and blocks threats such as prompt injection, jailbreaks, and sensitive-data leakage before they reach an end user, and it also governs what an AI agent is allowed to do.
The product is delivered as an API with very low added latency and requires no change to the customer's own model or prompts. It is aimed at security and platform teams that need to enforce policy on AI applications and agents in production.
Lakera Guard is a runtime security product for large language model applications.
Security platform for protecting generative AI and LLM applications in enterprises.
Open-source Python framework that runs configurable Input/Output Guards to validate large language model responses.
Platform securing machine learning models and AI systems against attacks.
Cisco AI Defense secures enterprise AI with asset discovery, model vulnerability evaluation, and runtime guardrails.
Platform that discovers, monitors, and governs enterprise AI agents at runtime.
Open-weight security triage model scoring agent, application and infrastructure events with calibrated probabilities.
Gatewatch is Rig Security’s endpoint protection product for identifying and controlling AI agent activity.
Continuous behavioral testing and remediation platform for AI agents and models.
Kyvvu's Agent Security Kernel secures AI agents by evaluating each action against task history inside the agent process.
Runtime Control Plane governs AI agents during execution with policy enforcement and audit evidence.
AI Agent Reliability Platform detects and remediates incorrect AI agent responses in real time.
Portkey AI provides a gateway platform for managing and observing large language model deployments.
Akamai Guardicore Segmentation stops lateral movement with AI-powered microsegmentation.
MIND Loss Prevention is an AI-native data loss prevention offering that blocks sensitive data leaks on endpoints in real time.
Security platform for protecting generative AI and LLM applications in enterprises.
Open-source Python framework that runs configurable Input/Output Guards to validate large language model responses.
Platform securing machine learning models and AI systems against attacks.
TrustGuard provides runtime security for AI agents.
Cisco AI Defense secures enterprise AI with asset discovery, model vulnerability evaluation, and runtime guardrails.
Platform that discovers, monitors, and governs enterprise AI agents at runtime.
Open-weight security triage model scoring agent, application and infrastructure events with calibrated probabilities.
Gatewatch is Rig Security’s endpoint protection product for identifying and controlling AI agent activity.
Continuous behavioral testing and remediation platform for AI agents and models.
Kyvvu's Agent Security Kernel secures AI agents by evaluating each action against task history inside the agent process.
Security information and event management offering on Databricks.
Runtime Control Plane governs AI agents during execution with policy enforcement and audit evidence.
AI Agent Reliability Platform detects and remediates incorrect AI agent responses in real time.
Arx is Fabraix's run-time defence layer that blocks prompt injection and memory poisoning in AI agents.
Portkey AI provides a gateway platform for managing and observing large language model deployments.
Akamai Guardicore Segmentation stops lateral movement with AI-powered microsegmentation.
MIND Loss Prevention is an AI-native data loss prevention offering that blocks sensitive data leaks on endpoints in real time.
