Cybersecurity teams operate in a world of accelerating risk—where digital and physical threats unfold with increasing volume and velocity—often without any warning. As businesses embrace digital transformation, expand supply chains, and operate across sprawling digital footprints, traditional security perimeters have all but disappeared. Detecting threats targeting this broadening external attack surface requires capabilities beyond traditional threat intelligence. Traditional threat intelligence is too slow, too siloed, and too noisy to be effective in a high-stakes, high-velocity environment. It relies on disconnected, noise-riddled feeds, and laborious manual research that can’t keep pace with the speed and scale of modern threats.
Cybercriminals already use AI to automate, scale, and perpetrate attacks, but cybersecurity teams are under immense pressure to do more, faster, and often with fewer resources. It’s a growing gap, and one that can’t be closed with legacy approaches. According to Forrester, cybercrime costs are expected to reach a staggering $12 trillion annually by 2025—underscoring the urgent need for intelligent, preemptive security, driven by the earliest signals of risk. Without the speed and scale of AI-powered actionable intelligence, organizations suffer from missed incidents, delayed responses, business disruption, and potential brand damage.
Falling Behind in Real Time
When it comes to cybersecurity events, risks, threats, there’s no doubt that every second matters. A few hours, even minutes, can make all the difference between catching a threat early and managing the fallout of a full-scale breach. Cybersecurity has always been about stopping breaches before they happen, but never has it been more difficult to do so.
Not only is the volume of cyberattacks exponentially increasing, but the resources to respond haven’t kept pace. Security operations centers are understaffed, overworked, and often stuck triaging alerts instead of preemptively and proactively managing risk. According to Boston Consulting Group, “organizations worldwide spend $200 billion a year on cybersecurity products and services. Yet they struggle to fill cybersecurity jobs, and the 28% vacancy rate for their positions is impeding their ability to address escalating threats.” The current cybersecurity environment is not only severely resource-constrained, but also costly. A single breach now costs an average of $4.88 million, with 70% of organizations experiencing “significant” or “very significant” business disruptions resulting from data breaches. (IBM)
From Reactive to Preemptive With Real-Time Intelligence
That’s why we developed Dataminr Pulse for Cyber Risk, to help teams manage digital and third-party risk, identify vulnerabilities, and respond to cyber-physical convergence in real-time. Powered by 15 years of AI innovation, Pulse for Cyber Risk drives preemptive cyberdefense strategy by delivering actionable intelligence from imminent and active cyber risk events targeting an organization, including their third parties.
With Dataminr’s AI-powered actionable intelligence, organizations can move beyond outdated manual processes and static response strategies, and tap into fast, always-on global intelligence streams to preempt emerging threats & vulnerabilities—the product of domain-focused AI that autonomously analyzes complex datasets and generates actionable insights that enable smarter, faster decisions. This shift is a game-changer, empowering organizations to neutralize threats before they even materialize.
Dataminr’s actionable intelligence enables four critical outcomes for SOCs, Analysts, and Security Leaders by transforming public data into real-time, high-fidelity alerts and Contextual Information tailored to the unique needs of modern security teams:
- Detect Digital Risk: Gain early visibility into threats like domain spoofing, account impersonation, data leaks, and narrative-driven attacks before they spiral into reputational damage. This proactive posture is essential in an era where digital presence is constantly expanding and under scrutiny from adversaries.
- Monitor Third-Party Risk: Dataminr provides visibility into risks that originate outside the enterprise perimeter. When suppliers or partners are compromised, named in ransomware leaks, or otherwise exposed, Dataminr detects and alerts organizations in real time—often before the affected party discloses the breach. This helps security teams move quickly to contain risk and protect downstream operations—even when the issue originates outside their own walls.
- Prioritize Vulnerability Remediation: Dataminr supplements internal scanning tools by surfacing exploitation chatter, proof-of-concept (PoC) activity, and real-world abuse of vulnerabilities from open sources and dark web forums. This intelligence helps security teams prioritize remediation efforts based not only on CVSS scores but also on the likelihood and impact of exploitation in the wild.
- Respond to Cyber-Physical Risks: Dataminr identifies threats where digital and physical domains intersect—such as cyberattacks targeting operational technology, critical infrastructure, or geopolitical events affecting digital assets. By correlating cyber signals with physical threat intelligence, Dataminr equips teams with unified situational awareness, essential for safeguarding both digital operations and physical assets.
This is how security teams can shift from reactive to proactive—using AI not only to detect threats, but also to understand and act on them with clarity and speed.
The Next Leap in Risk Detection With Agentic AI
At Dataminr, our mission has always been to provide real-time information that matters most to customers, when they need it the most. From our earliest days pioneering event detection to becoming a leader in AI-powered real-time information—all using publicly-available data—we have always been steadfast in our commitment to deliver the fastest, most accurate, and actionable insights possible.
With more than 15 years in AI innovation, including 50+ proprietary LLMs and Multi-Modal Fusion AI, Dataminr has laid the foundation for AI capabilities that interpret what’s happening, why it matters, and what to do next. We are committed to accelerating our innovation and continuing to pioneer AI-powered real-time information, which is why we are excited to unveil our Agentic AI roadmap, marking a major leap forward in the development of intelligent, autonomous AI agents for context-enhanced real-time decision-making.
Intel Agents, the company’s first Agentic AI capability, task AI agents to autonomously generate critical context as events, risks, and threats unfold.
The first deployment of Intel Agents will enhance Dataminr Pulse for Cyber Risk. Intel Agents are currently in beta for Pulse for Cyber Risk, generating context-enhanced real-time threat intelligence. The new capability automates laborious manual research and represents a foundational shift in how cybersecurity teams can leverage AI for real-time decision-making, response, and triage.
Dataminr’s AI innovation is the key to unlocking a future where organizations can preemptively anticipate, adapt, and thrive, no matter what challenges lie ahead.
