Operationalizing Threat Intelligence and AI-Powered Cyber Defense


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Sachin Jade, chief product officer at Cyware, discusses the evolving challenge of operationalizing threat intelligence and how AI is redefining the speed and scale of cyber defense.

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Operationalizing Threat Intelligence and AI-Powered Cyber Defense

Operationalizing Threat Intelligence and AI-Powered Cyber Defense


[embedded content]

Sachin Jade, chief product officer at Cyware, discusses the evolving challenge of operationalizing threat intelligence and how AI is redefining the speed and scale of cyber defense.

Jade explains that most organizations today struggle to turn intelligence into meaningful action. Despite the massive investment in feeds, dashboards, and frameworks, many security teams still rely on manual workflows that create bottlenecks between intelligence collection and incident response. The key, he says, is automation—building a system of intelligence that connects detection, enrichment, and response in real time.
By fusing threat intelligence platforms (TIPs) and security orchestration automation and response (SOAR) capabilities, organizations can enable continuous collaboration between security operations centers, incident response teams, and threat hunters. The result is a closed-loop process that accelerates detection, reduces noise, and ensures faster containment of threats.
Jade also highlights the growing role of AI in contextual analysis—automating correlation across large volumes of data while identifying patterns too subtle for human analysts to detect. But he cautions that AI must be paired with human insight and rigorous governance to ensure trust and transparency in decision-making.
As AI becomes a force multiplier for both defenders and adversaries, organizations that can operationalize their threat data—bridging the gap between awareness and action—will be best positioned to stay ahead.

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