TL;DR:
- Dataminr introduces Pulse for Cyber Risk, an AI-driven solution for real-time threat intelligence.
- The platform utilizes multimodal fusion AI technology to analyze various data formats.
- It offers advanced features such as natural language comprehension, computer vision, audio processing, and abnormality detection.
- Integrated named entity recognition enables tailored threat monitoring for organizations.
- Key use cases include cyber-physical convergence, vulnerability prioritization, external attack intelligence, and digital risk detection.
Main AI News:
In a groundbreaking move, Dataminr has unveiled its latest innovation: Pulse for Cyber Risk. This cutting-edge solution harnesses the power of artificial intelligence (AI) to provide users with actionable intelligence on real-time risks and cyber-physical threats. With Pulse for Cyber Risk, Dataminr is leveraging the full potential of AI to deliver unprecedented insights across the cyber, physical, and digital domains.
Under the visionary leadership of Ted Bailey, Founder and CEO of Dataminr, the company has developed a multimodal fusion AI platform that forms the backbone of Pulse for Cyber Risk. This platform utilizes advanced deep learning techniques to cross-correlate a diverse range of data formats, including text, image, video, sound, and machine-generated sensor data.
The capabilities of the deep learning real-time detection platform are truly remarkable. It encompasses natural language comprehension in over 150 languages, computer vision for analyzing images and videos, OCR and logo detection, audio processing and classification, as well as multi-variable abnormality detection. These cutting-edge features facilitate the integration of Large Language Models (LLMs) and enable the creation of comprehensive summaries of real-time threats.
A key component of Pulse for Cyber Risk is the integrated named entity recognition (NER) system. This powerful tool enables dynamic entity mapping, allowing users to identify and monitor threats that are specific to their organization, its partners, and its third-party supply chain. By gaining visibility into these tailored threats, corporate enterprises can make informed decisions and take proactive measures to mitigate risks effectively.
The use cases for Pulse for Cyber Risk are wide-ranging and impactful. Cyber-physical convergence, vulnerability prioritization, external attack intelligence, and digital risk detection are just a few examples of the practical applications of this groundbreaking solution. Corporate enterprises now have the opportunity to leverage the expanded Dataminr Pulse product suite, empowering them to respond swiftly and effectively in real-time while fortifying their overall resilience.
Ted Bailey is excited about the possibilities that Pulse for Cyber Risk brings to the table. He stated, “With the launch of Dataminr Pulse for Cyber Risk, we are revolutionizing the way organizations approach threat intelligence. By combining the power of AI with real-time data analysis, we empower businesses to stay one step ahead of evolving risks, ensuring their continued success and security.”
Conclusion:
The introduction of Dataminr’s Pulse for Cyber Risk signifies a significant advancement in the market for threat intelligence. By leveraging AI and multimodal fusion technology, organizations gain access to real-time insights, enabling them to stay ahead of evolving risks. This solution empowers businesses to make informed decisions, respond effectively, and enhance their overall resilience in the face of cyber threats. The comprehensive capabilities of Pulse for Cyber Risk position Dataminr as a leader in the industry, revolutionizing the way organizations approach and mitigate cyber risks.
