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Dataminr uses agentic AI to predict and verify security threats
Dataminr launches agentic AI capabilities for corporate security, adding automated event corroboration, context, and near-term threat prediction.
Dataminr Advanced for Corporate Security introduces Agentic Corroboration, Agentic Context, and Near-Term Predictive Intelligence, now generally available, moving the company from real-time alerting to what it calls Autonomous Real-Time Intelligence. The product relies on more than 60 fine-tuned task-specific LLMs trained on a 10+ year proprietary event archive rather than general-purpose frontier models. Upcoming releases include ReGenAI Tailored Live Briefs, a Watchlist Agent, Agentic Search, and an Advanced API suite.
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Security Affairs newsletter Round 594 by Pierluigi Paganini – INTERNATIONAL EDITION
Weekly Security Affairs newsletter aggregates top stories including Cisco FMC exploitation, Qilin ransomware, Chrome zero-days, and Berlin leak.
Pierluigi Paganini's Security Affairs newsletter Round 594 (International Edition) rounds up the week's security headlines. Topics include attackers exploiting a critical Cisco FMC flaw to deploy Qilin ransomware, SonicWall mass exploitation linked to a UK council attack, multiple CISA KEV additions, Chrome zero-days used by four nation-state actors, a $320 million Liquid Network theft, and a Berlin ransomware data leak. It also covers AI security items such as agent sandbox failures and distillation campaigns by Chinese AI firms.
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Production data in testing is still common, and Tricentis' CISO wants it gone
Tricentis CISO Erika Dean urges keeping production data out of test environments and describes red-teaming that caught a prompt injection gap.
In a Help Net Security interview, Tricentis CISO Erika Dean recommends keeping production data out of QA and testing environments, even in finance and healthcare, where weaker QA controls create risk. Her team red-teamed an agentic chatbot before launch, found a prompt injection gap, and held the release for a week until it was fixed. She says vendors who cannot explain data residency, retention, and model training use are disqualified regardless of product quality.
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