Picari insights
Enterprise security and AI engineering teams deploying customer-facing LLMs and autonomous agents who require real-time guardrails and seamless SIEM/SOAR integration.
- Protecting public-facing LLM endpoints from prompt injection and jailbreaks
- Preventing sensitive data leakage (PII/IP) in agent workflows
- Integrating AI security telemetry into existing SOC operations (SIEM/SOAR)
- Organizations seeking offline model vulnerability scanning or red teaming prior to deployment
- Teams without production generative AI or agent deployments
- Low-volume AI workloads that can be adequately protected by basic native LLM safety filters
Ask about pricing, alternatives, or if Defend is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
AI application security monitoring
Real-time adversarial attack blocking
Runtime protection for AI agents
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
TrojAI Defend pricing and integrations
For TrojAI Defend 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 TrojAI? Verify this profileProfile last updated on 24 September 2026 by Picari.