AgentGuard
Runtime security solution that monitors and blocks risky AI prompt interactions between the SaaS agent and the user, enforcing policies in real-time.
Picari insights
Enterprise security teams looking to protect employee-facing SaaS AI agents and assistants from runtime prompt attacks and data leakage.
- Protecting enterprise SaaS AI agents from prompt injection
- Enforcing DLP policies on user inputs to GenAI tools
- Centralizing AI security events into existing SIEM workflows
- Custom LLM applications requiring code-level evaluation or model firewalls
- Non-SaaS, air-gapped, or on-premises AI deployments
- Organizations lacking integrated SaaS AI tools or enterprise SIEMs
Ask about pricing, alternatives, or if AgentGuard is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
Data leakage prevention through AI agents
Incident detection and response for AI behaviors
Prevention of prompt injection attacks
Runtime protection for agentic AI in SaaS platforms
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
Security & compliance
Frameworks AppOmni AgentGuard reports for security, privacy, and regulatory compliance.
GDPR
EU data protection compliance
HIPAA
US healthcare data protection
AppOmni AgentGuard pricing and integrations
For AppOmni AgentGuard 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 AppOmni? Verify this profileProfile last updated on 24 September 2026 by Picari.