


Enterprise AI adoption is creating a new cybersecurity attack surface. This blog examines emerging threats targeting AI systems—including prompt injection, model poisoning, and data exposure—and explains how real-time threat intelligence (powered by AI) helps security teams detect and mitigate AI security risks earlier.

The SOC is evolving from static playbooks to collaborative, agent-driven intelligence. Agentic AI enables fleets of specialized AI agents to think, adapt, and coordinate in real time, detecting and containing threats at machine speed before attackers gain momentum.



Explore how Dataminr’s new Developer Portal and SDK empower Platform Partners to enhance, enrich, and differentiate their technologies using the same Dataminr platform trusted by the world’s leading brands.

Dataminr cyber experts predict major shifts in the 2026 cyber threat landscape. Cybercriminals will favor data theft over ransomware. Critical infrastructure, including logistics and food supply, will face new attacks. Complacency will create security gaps, while China-affiliated operations will intensify.



How AI-powered real-time threat intelligence helps security teams cut through noise, identify true risk from the earliest signal, and act before attackers strike.

The emergence of Scattered LAPSUS$ Hunters (SLH), a new alliance of members of The Com, shows the vast evolution of the cybercrime industry as they have launched their own Ransomware-as-a-Service (RaaS), ShinySp1d3r. Organizations need to monitor dark web activity and watch for insider threats to defend against these business-like, AI-enhanced cybercriminals.

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