Corporate security teams are struggling. Modern businesses operate in a complex, interconnected environment where external events, such as geopolitical conflicts, extreme weather, and man-made incidents, affect their operations, employees, and facilities around the world every day.
The frequency and volume of events has never been greater, and security teams at organizations of all sizes—even at the largest companies—are scrambling to keep up. Once a team has detected an event, analysts are spending critical time, sometimes hours, trying to determine the “so what” before escalating to business leaders or making changes to their security posture.
A lack of real-time context about the incident and its location, regularly prevents security teams from taking immediate, proactive action. Internally, teams frantically search to understand “has this event ever happened before?”, “how is transportation being affected?”, “what business operations do we have in that location?”, and “how many employees and executives are likely there right now?”
Security teams are scouring for internal and external data points, as the event unfolds in real time. Talking to security leaders, it’s this lack of context and inability for their teams to find and research the “so what” that prevents teams from responding at the earliest indications to business disrupting incidents and crisis events.
This is where Dataminr’s Intel Agents for the physical world come in. Dataminr has deployed a fleet of AI agents that immediately and autonomously provide real-time context about all the physical events that Dataminr has detected around the world. Expanding Dataminr’s coverage from the “what” to the “so what” and ushering in a new era of AI-powered event, threat and risk intelligence.
This Agentic AI capability provides the critical context needed to understand, triage, and respond to real-time events, and is set to fundamentally transform how security teams and AI agents work together to manage risks inside major organizations.
In early October, we started our customer beta program to great excitement, with initial feedback generating responses like:
“I love the new Intel Agents.”
“Love this! Very helpful.”
“I love the additional information.”
“This is very helpful and a great leap forward.”
Below are the four most common questions we received at the Global Security Exchange (GSX 2025), when we unveiled Intel Agents for the physical world to the corporate security community.
No. 1: Are Intel Agents a Chatbot?
Dataminr’s Agentic AI Intel Agents are less about asking questions and more about getting answers—automatically. Unlike AI chatbots that need users to think of and ask precise questions, Intel Agents work autonomously (no prompts needed) at scale to uncover and deliver the most relevant event context.
Intel Agents are a fleet of autonomous AI agents working in collaboration to perform work that thousands of analysts combined could not accomplish—and it does it in seconds. To accomplish this, Intel Agents scour the billions of data signals ingested daily from more than one million public data sources, searches across Dataminr’s 12+ year event and public data archive, and scans the broader public internet at large. Intel Agents continuously ask and answer hundreds of questions about every event, threat, and risk as events unfold, providing teams with real-time context at machine speed so they can take decisive action with confidence.
Learn More: Intel Agents 101: Understand Dataminr’s Groundbreaking Agentic AI Capability
No. 2: Why Do Security Teams Need Intel Agents?
Manually identifying emerging events and risks is becoming nearly impossible. The problem is no longer a lack of information, as the sheer volume of information security teams now have to process is staggering. Analyzing an overwhelming amount of information, delivered in various formats, makes it difficult to separate critical signals from everyday noise.
This information overload creates dangerous blind spots and can lead to missed incidents, confirmation biases from false positives, delayed response, costly operational disruptions, and preventable damage. Being bogged down by siloed information and manual processes creates several challenges for security teams, including:
- Significant delays between event detection and response
- A lack of context to gain situational awareness about an event
- Hindered response waiting on slow, manual “human verification”
- Time-consuming and laborious manual research into the context behind an incident
The financial impact is staggering: an Allied Universal report based on responses from nearly 1,800 security leaders at large global companies found that physical security incidents led to more than $1 trillion in revenue losses, with one in four publicly-listed companies reporting a drop in corporate value due to physical security incidents.
No. 3: How Will Intel Agents Help?
Intel Agents provide security teams the critical context needed to respond with speed and confidence. Customers are telling us that Dataminr’s Agentic AI capability acts as a force multiplier, automating the time-consuming process of gathering information, deciding what information is most accurate and relevant, and providing answers to all the questions you would ask during an event.
By autonomously and continuously retrieving, aggregating and synthesizing the context behind emerging events in real-time, security teams can quickly gain full situational awareness for the most effective response by:
- Reducing time between event detection and response
- Understanding the “what” and “so what” behind every event, empowering decisive action
- Receiving real-time event corroboration
- Eliminating time-consuming, manual research
No. 4: How Do Intel Agents Work?
Dataminr has pioneered a domain-specific AI-powered platform to solve complex challenges, operating at a speed and scale impossible for any human team. Intel Agents are built on this foundation of more than 15 years of AI innovation.
With more than 50 foundational models fine-tuned for specific use cases, Dataminr’s AI platform processes over 1 million public data sources in more than 150 languages, including traditional social media, regional/alternative social media, news, blogs, databases, and the deep/dark web. Using Multi-Modal Fusion AI, the platform cross-correlates text, images, videos, audio, and sensor data to detect the earliest signals of high-impact events and emerging risks. Building on this, Intel Agents autonomously retrieve and synthesize deeper contextual information, providing a unique layer of real-time information.
Intel Agents work together to:
- Identify which information needs further context
- Anticipate questions an analyst will ask when reviewing the event
- Synthesize findings into concise, actionable summaries that deliver context to events and risks across a wide range of categories
- Support event verification by including the number and type of independent sources, any related photos or videos, and direct links
- Continuously analyze new developments and update the surrounding context in real time
Looking Ahead
Dataminr is at the forefront of the Agentic AI revolution. Our mission has always been to provide real-time information that matters most to our customers. Intel Agents is Dataminr’s first Agentic AI capability, and we’ve already seen the transformative power of Intel Agents with their release in our Dataminer Pulse for Cyber Risk product.
And now with the beta release of Intel Agents for physical events (which is also available in our First Alert and News products), we’ve taken the first step in a multi-phase roadmap that will completely reimagine AI-powered real-time event, risk, and threat intelligence.
Intel Agents are revolutionizing how organizations rapidly detect, understand, contextualize, and respond to every event in real time. Security teams can eliminate laborious manual research, quickly gain full situational awareness, and significantly reduce the time between detection and response to provide better protection for their people, locations, and operations.
Intel Agents and what’s to come next are not just faster ways to work—it’s transformative technology that redefines how organizations respond to emerging risks and events.
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