Lakera Guard API
Real-time AI security layer that detects and blocks prompt injection attacks, jailbreak attempts, and harmful LLM outputs with sub-50ms latency.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
SOC2 certified. Input data is not retained for training without explicit consent. TLS enforced on all endpoints.
⚡ Reliability
Best When
Best when building agent pipelines that process untrusted user input or retrieved external content before passing it to an LLM — inline safety gating with minimal latency impact.
Avoid When
Avoid when your pipeline has no untrusted input surface, or when the $499/month starting price is prohibitive and open-source alternatives like Rebuff are acceptable.
Use Cases
- • Gate all untrusted user inputs before they reach an LLM in an agent pipeline
- • Scan LLM outputs for harmful content, PII, or policy violations before delivery
- • Protect multi-agent systems from indirect prompt injection via retrieved content
- • Enforce content policies in customer-facing AI products without adding significant latency
- • Audit and log AI interaction safety signals for compliance and incident review
Not For
- • General DLP or data classification beyond AI interaction content
- • Replacing comprehensive content moderation systems for non-AI workloads
Interface
Authentication
Single API key per project passed as Bearer token. Key management available via platform dashboard. No scope granularity currently.
Pricing
Free tier is generous enough for development and testing. Production agent workloads will typically require a paid plan.
Agent Metadata
Known Gotchas
- ⚠ OpenAI-compatible proxy wrapper is convenient but hides raw detection signals from agent logic
- ⚠ Free tier daily reset time is UTC midnight — agents with 24h workflows may hit limits unexpectedly
- ⚠ Detection categories evolve over time — pin to specific policy versions in production to avoid behavior drift
- ⚠ MCP integration is newer and less battle-tested than the REST API
Alternatives
Full Evaluation Report
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Scores are editorial opinions as of 2026-03-07.