AI
Icite targets knowledge graphs to give AI agents the context needed for autonomous security workflows
Icite Inc.
Key takeaways
- AI agents need deterministic data they can traverse deliberately with guardrails to avoid hallucinations.
- Combining graph data with real-time identity intelligence helps reduce false positives and enables autonomous security workflows.
- Icite consumes and normalizes customer data into its own format so its agents can traverse it.
Icite Inc. is targeting enterprise knowledge graphs to provide AI agents with the deterministic context and memory needed for autonomous security workflows. By combining graph data with real-time identity intelligence, Icite aims to reduce false positives and automate routine data traversal, allowing human analysts to focus on decisions requiring human judgment.
In their words
“We consume all of our customers’ data, but we normalize it. We massage it in our format that we want, and that’s how our agents are able to do it.”
“Let the agents handle the routine traversal so your analysts can focus on the decisions that actually require human judgment.”
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Common questions
- What happened with Icite Inc.?
- AI agents need deterministic data they can traverse deliberately with guardrails to avoid hallucinations.
- Where can I read the original report?
- Read the full report at siliconangle.
