For instance, Dataminr processes vast amounts of data, to the extent that it would take a human 950 years to read the equivalent in real-time. AI enables companies to detect and respond to events quickly, reducing reliance on large security teams while maintaining situational awareness.
Furthermore, organizations can measure the return on investment by evaluating incident response times, operational continuity, and potential cost savings from preventing security breaches.
Lasky: AI and machine learning are prominent in security. How does Dataminr leverage AI to enhance threat detection and mitigation?
Crowley: We use purpose-built AI explicitly designed to detect events and threats from public data. Our AI models analyze text, images, video, sound, and sensor data, providing a comprehensive view of emerging situations.
The advantage is scale. AI can analyze millions of data points in seconds, far beyond human capability. Additionally, we continuously retrain our models to improve accuracy and predictive capabilities.
AI’s ability to perform multilingual analysis is another strength. Our platform supports over 170 languages, making it easier for global organizations to monitor…
