AI Agent Security
Enables organizations to discover, monitor and protect AI agents across their infrastructure by providing real-time visibility and runtime control to prevent unauthorized access.
Picari insights
Mid-to-large enterprises deploying autonomous AI agents that require real-time identity binding, discovery, and runtime guardrails to prevent unauthorized access to sensitive tools and data.
- Identity-centric AI agent governance
- Preventing unauthorized autonomous tool calls and lateral movement
- Enterprises using Anthropic's Model Context Protocol (MCP)
- Organizations solely looking for static code analysis of AI models or prompt-injection defense for basic chatbots
- Small teams with minimal internal infrastructure or low adoption of multi-agent architectures
- Environments not utilizing non-human identity governance or MCP-based tooling
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-accountability-audit
ai-agent-privilege-enforcement
frontier-ai-readiness
lateral-movement-prevention
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
Silverfort AI Agent Security pricing and integrations
For Silverfort 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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Are you from Silverfort? Verify this profileProfile last updated on 24 September 2026 by Picari.