On June 9, Dataminr announced a strategic distribution partnership with leading global distributor and solutions aggregator TD SYNNEX to accelerate the adoption of AI-powered cyber defense.
As a key North American distributor for Dataminr’s expanding cyber portfolio, TD SYNNEX will offer the newly launched Dataminr for Cyber Defense platform to its network of more than 35,000 North American resellers. By integrating real-time threat intelligence into this extensive ecosystem, the alliance provides enterprises and public sector organizations with the earliest signals of emerging risk to detect and mitigate cyber threats before they escalate.
Built with agentic and predictive AI at its core, Dataminr for Cyber Defense securely fuses Dataminr’s external foresight with an organization’s internal telemetry to contextualize threats with precise relevance and business impact. Realizing the strategic vision of the company’s acquisition of ThreatConnect, this unified cyber defense solution drives decisive automated responses prioritized by continuously quantified business and financial risk.
“TD SYNNEX’s reach and leadership in the global channel ecosystem make them an ideal partner as we scale our unified cyber defense platform,” said Matt Harrell, chief partner officer at Dataminr. “The old model of static feeds is obsolete. Together, we’re enabling organizations to move from reactive to proactive defense — fusing external foresight with internal telemetry to drive faster, more informed decision-making and superior security outcomes.”
“In an era of machine-speed attacks, organizations need faster, more intelligent ways to stay ahead of increasingly complex cyber threats,” said Cheryl Day, senior vice president of new vendor acquisition and global solutions at TD SYNNEX. “Through our collaboration with industry leading AI solution providers like Dataminr, we are equipping our vast partner network with agentic AI-driven capabilities that transform how the earliest signals of risk are identified and managed in real time.”
Source: Dataminr
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