Defense
A runtime security classifier that evaluates incoming prompts for attack risk before they reach your LLM application.
Ask about pricing, alternatives, or if Defense is right for you.
Picari insights
Engineering and security teams seeking a low-latency, privacy-preserving input guardrail to intercept prompt injections and jailbreaks before queries reach their LLMs.
- Privacy-conscious architectures requiring on-prem or local prompt screening
- Real-time prompt injection and jailbreak prevention
- Python-native and API-driven GenAI application security
- Comprehensive LLM observability and post-generation output governance
- Teams seeking a fully managed all-in-one API gateway with routing and billing controls
- Environments with zero tolerance for pre-inference classification latency
Core capabilities
Common use cases
Gate or reject suspicious prompts before LLM processing
Log attack attempts for security monitoring
Protect critical application paths with strict thresholds
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
0din by Mozilla Defense pricing and integrations
For 0din by Mozilla Defense integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Are you from 0din by Mozilla? Verify this profileProfile last updated on 6 September 2026 by Picari.