A constant race against time defines modern security operations. While the ability to detect events has steadily improved, corporate security teams are now overwhelmed with information and data, creating a new challenge: a widening gap between detecting an event and understanding the impact necessary for an effective response.
When news of an incident breaks—whether it is a geopolitical shift, infrastructure outage or sudden natural disaster—analysts often scramble for context. Valuable minutes or hours are lost searching for data to answer fundamental questions: “What happened and is the source credible? Is this an active situation or is it over? How wide is the impact? Has this happened there before? Are emergency responders on scene?” This manual hunt for the “so what” behind an event delays decisive action.
Dataminr Intel Agents were designed to close that gap. This ground-breaking Agentic AI technology instantly and autonomously provides real-time context about all the physical events that Dataminr detects around the world, shifting workflows from manual discovery to instant situational awareness. Organizations aren’t just given more data, they get clarity amidst the noise.
As thousands of users integrate Intel Agents into their operations, we are seeing a fundamental transformation in how teams manage risk. Here are four ways Agentic AI is reshaping the corporate security landscape.
No. 1: Paradigm Shift from Alerts to Intelligence
Dataminr set the industry standard for real-time event information with alerts that notified security teams the moment something happened—often hours before the information appeared in traditional channels. Dataminr then pioneered generative AI technology to introduce continuously updated event summaries with ReGenAI Live Briefs that distill key updates as critical events unfold. That notification and knowing that something happened was just the starting point. Now, through Agentic AI, Dataminr is leading a fundamental shift towards real-time event, threat, and risk intelligence, so teams can quickly and confidently take decisive action.
Intel Agents drive this evolution by autonomously answering the critical follow-up questions an analyst would ask when an event occurs. Instead of stopping at what is happening, Intel Agents scour Dataminr’s 1M+ public sources and its 12+ year data archive to instantly provide the context needed to understand the “so what” so security teams can quickly determine what it means for their organization. This includes details across several categories, including primary cause, location, status, transportation disruptions, emergency response, government communication, and past occurrences.
By automating the understanding of the “what” and the “so what,” security teams are better positioned to determine the “now what”—the specific actions required to mitigate risk. This progression transforms the security operation from a reactive stance based on raw data to a proactive posture driven by intelligence.
No. 2: Reduces Time-Consuming Manual Research
One of the most significant hurdles preventing security teams from quickly taking action is the time lost to manually researching the details of an incident. When a critical event is detected, analysts can spend valuable hours sifting through fragmented data and searching in different platforms to verify facts, identify involved entities, and understand the scope of the incident. The time spent piecing together all these fragments of information delays an effective response.
Intel Agents eliminate this latency by consolidating real-time event, threat, and risk intelligence into a single view. Beyond summarizing the event and providing critical context, Intel Agents also provide corroborating information—summary, sources with links, aggregation of rich media sources—to instantly validate that an incident is real and unfolding. Simultaneously, Intel Agents also provide deep background on locations and other entities associated with the event, as well as related events.
Instead of an analyst pausing to search “Has local transportation been impacted?” or “Is this normal for this location?”, the answers are presented immediately. By compressing research time from hours to minutes, Intel Agents empower security teams to focus on assessing impact and decisively taking action.
No. 3: Simple Adoption with Promptless Solution
While the generative AI revolution has introduced powerful tools, many come with a steep learning curve and the need to craft the perfect prompt. To get value from a standard AI chatbot, users often need to know exactly what to ask and how to phrase it to generate a useful result. This often requires teams to be trained on Large Language Models (LLMs) or maintain complex prompt libraries just to extract relevant insights and avoid hallucinations or false information.
Intel Agents remove this challenge. They are designed as a “promptless” solution, meaning they require absolutely no knowledge of AI or LLMs to gain actionable and accurate insights. When an event occurs, the Intel Agents do not wait for a user to type a query, it instantly and proactively anticipates the questions an analyst would ask and delivers the answers automatically.
This approach has led to high adoption rates across organizations and a quickly expanding user base. By eliminating the need to craft perfect questions, Intel Agents ensure that every team member can access real-time event, threat, and risk intelligence, transforming the way entire teams operate and supporting an intelligence-led, proactive approach to security.
No. 4: Complements the Work of Analysts
One of the most common questions regarding the rise of Agentic AI is how it fits into security workflows. The answer that has emerged is clear: Intel Agents are a powerful force multiplier, designed to complement human expertise rather than replace it.
Intel Agents operate as an always-on engine capable of handling the immense volume and speed of modern data streams. By automating the time-consuming process of gathering information, validating sources, and synthesizing context, Intel Agents remove the burden of information collection from an analyst and empower them to do what they do best: apply judgment, nuance, and strategic thinking.
This division of labor transforms security operations. With the “what” and “so what” instantly provided, security teams can dedicate their energy to high-value tasks—communicating with stakeholders and initiating the appropriate response. The result is a more efficient security operation where Intel Agents provide the speed and scale, while humans provide the critical decision-making necessary to protect people, assets, and operations.
The Best is Yet to Come
The introduction of Agentic AI marked a pivotal moment in the evolution of physical security.
By shifting the focus from simple detection to AI-powered real-time event, threat, and risk intelligence, organizations are better equipped to match the velocity of today’s global risk landscape. We are already seeing the profound impact Intel Agents have on security teams—significantly reducing manual research, accelerating response times, and enabling a more proactive security posture.
Intel Agents is the first step in a multi-phase Agentic AI product roadmap. As we continue to expand on the “so what” capabilities, we’ll be introducing capabilities to provide security teams with the next step, the “now what” may happen next—Predictive Intelligence.
Our mission has always been to provide real-time information that matters most to our customers. Intel Agents and advanced Agentic AI capabilities are not just faster ways to work, they’re transformative technology that redefines how organizations respond to emerging events, threats, and risks.
Ready to Experience Intel Agents?
Enter the new era of AI-powered real-time event, risk & threat intelligence.
Request Demo
