Icite targets knowledge graphs to give AI agents the context needed for autonomous security workflows
SiliconANGLE Ryan Stevens
Icite, a cybersecurity startup, uses enterprise knowledge graphs to provide AI agents with structured context for autonomous security operations. The company normalizes customer identity and organizational data into a graph format that agents can traverse with guardrails to reduce false positives and avoid hallucinations. This enables security teams to move from reactive incident response to proactive threat detection by automating routine investigations and letting human analysts focus on decisions requiring judgment.
Why it matters
Enterprise knowledge graphs are emerging as a key foundation for organizations, giving AI systems the context needed to make better decisions. As cybersecurity teams modernize operations, combining graph data with real-time identity intelligence is helping reduce false positives and enable more autonomous security workflows. AI agents are only as successful as the data, memory and […] The post Icite targets knowledge graphs to give AI agents the context needed for autonomous security workflows appeared first on SiliconANGLE.