


The EU AI Act is part of a global shift to accountable AI. Dataminr ensures trust in operations through a risk-based framework, continuous oversight, and core disciplines: explainability, privacy, and fairness.

Prediction without action doesn’t reduce risk. As security teams gain the ability to anticipate attacks, the real challenge becomes deciding whether to disrupt operations before a threat materializes—a business decision most organizations aren’t equipped to make consistently.


Cybersecurity must move from reactive response to a preemptive defense model. Success relies on fusing threat intelligence and exposure management to proactively eliminate internal exposures and prevent attacks before they even begin.



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.
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