AI Exposures
Continuously discover AI resources and eliminate validated attack paths targeting AI systems across hybrid environments.
Picari insights
Enterprises with hybrid cloud footprints and rapidly expanding GenAI initiatives that need to proactively identify and break validated attack paths threatening their AI assets.
- Attack path mapping to sensitive AI assets and training data
- Discovering unmanaged Shadow AI deployments and leaked API keys
- Prioritizing AI posture remediation using realistic exploitability context
- Runtime LLM prompt injection defense and guardrail enforcement (AI firewalling)
- Organizations with minimal in-house AI adoption or cloud infrastructure
- Standalone data labeling, model drift, or ML performance monitoring
Ask about pricing, alternatives, or if AI Exposures is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
Multi-cloud AI security
Secure agentic AI adoption
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
XM Cyber AI Exposures pricing and integrations
For XM Cyber AI Exposures 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 XM Cyber? Verify this profileProfile last updated on 9 October 2026 by Picari.