AI TOOL PROFILE
Dataminr: AI-Powered Real-Time Event, Threat & Risk Intelligence
- Security
- Security Monitoring
- Enterprise security teams
- Companies with global operations
- Cybersecurity operations centers (SOC)
- Government and public sector agencies
- Newsrooms and journalists
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Enterprise security teams, Companies with global operations, Cybersecurity operations centers (SOC), Government and public sector agencies, Newsrooms and journalists
- Key use cases
- Employee and Executive Protection, Physical Security and Asset Protection, Cyber Defense and Vulnerability Management, Emergency and Crisis Management, Supply Chain and Operational Resilience
- Integrations
- Genetec, Esri, Splunk
- Official website
- Visit dataminr official website

How AI is used
Dataminr is a real time intelligence platform designed to detect emerging events, threats, and risks by analyzing public data. It uses a combination of proprietary LLMs and multi-modal AI to process text, audio, image, and video data from over a million public sources in more than 150 languages.
The software supports corporate security teams, cyber defense operations, government agencies, and newsrooms. It is designed to provide early warnings on high-impact events, such as natural disasters, cyber breaches, or geopolitical crises.
Practical applications include monitoring the safety of employees and executives during travel, securing physical facilities, and identifying third-party cyber risks. It offers specialized product tracks for corporate security, cyber defense, and public sector emergency response.
Buyers should confirm how the platform's alerting precision aligns with their specific operational needs and how the integration of external data fits into their existing security workflows.
Key Features
Real-time Alerts
Provides notifications of emerging events and risks detected across public data sources.
Multi-Modal Fusion AI
Analyzes a combination of text, image, audio, video, and sensor data to identify events.
Agentic AI Context
Uses AI agents to surface critical details and provide background context for detected events.
Global Data Monitoring
Processes over 43 TB of data daily from more than 1 million public sources in 150+ languages.
Generative AI Descriptions
Uses generative AI to provide concise descriptions of rapidly unfolding events.
Cyber Threat Intelligence
Monitors digital ecosystems to detect external cyber events and potential third-party breaches.
Use Cases
Employee and Executive Protection
Monitoring for risks and threats to personnel in real time, including those traveling or working in high-risk locations.
Physical Security and Asset Protection
Identifying hyperlocal incidents and global events that may impact company offices, plants, or retail stores.
Cyber Defense and Vulnerability Management
Detecting external cyber threats and monitoring for signs that third-party vendors have been breached.
Emergency and Crisis Management
Supporting response to natural or man-made disasters through early warnings and situational awareness.
Supply Chain and Operational Resilience
Tracking real time signals that may disrupt core business operations or supply chain stability.
Integrations
- Genetec
- Esri
- Splunk
FAQ
What does Dataminr do?
- Dataminr uses AI to monitor millions of public data sources in real time, providing alerts and context on emerging events, threats, and risks.
Who is Dataminr designed for?
- It is designed for corporate security teams, cyber defense operations, government agencies, and newsrooms that require real time global visibility.
How does Dataminr manage alert relevance?
- The platform uses precision tuning, allowing users to filter alerts by role, geography, topic, and event type to reduce noise.
Does Dataminr support multiple languages?
- Yes, the platform can process public data in more than 150 languages.
Source category: Security
Source subcategory: Security Monitoring
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