AI Agent Security
Agentic AI security platform that continuously observes agents, code, infrastructure and dependencies to identify, prioritize and remediate security risks in AI-native environments
Picari insights
Engineering-heavy enterprises building and deploying autonomous, multi-agent AI systems that require continuous runtime posture management, code scanning, and threat framework alignment.
- End-to-end security visibility across autonomous agent architectures
- Mapping emerging agentic threats against the MITRE ATLAS framework
- Continuous dependency and code risk management in AI pipelines
- Organizations using only off-the-shelf, closed SaaS AI tools without custom agent logic
- Traditional application environments with no agentic or GenAI footprint
- Teams seeking standalone network or conventional perimeter security solutions
Ask about pricing, alternatives, or if AI Agent Security is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
AI agent security assessment
AI application security from URLs
Early-stage design security review
Infrastructure and configuration scanning
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
Trent AI AI Agent Security pricing and integrations
For Trent AI AI Agent Security 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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Profile last updated on 24 September 2026 by the vendor, Trent AI.