Artificial intelligence (AI) and large language models (LLMs) can help threat intelligence teams to detect and understand novel threats at scale, reduce burnout-inducing toil, and grow their existing talent by democratizing access to subject matter expertise. However, broad access to foundational Open Source Intelligence (OSINT) data and AI/ML technologies has quickly led to an overwhelming amount of noise for users to sift through. Mandiant, by contrast, takes a more nuanced approach to fuse industry-leading expertise, unique proprietary data sources, and cutting-edge ML to enable a holistic and profoundly insightful view of your organization and its threat profile.
Ultimately, this means better personalization, scoring, and overall outcomes for our customers, but also a virtuous cycle of improved data collection and detections for Mandiant analysts. Now, as part of Google Cloud, Mandiant can bring the power of Google’s cutting-edge AI technologies to bear on the world’s toughest security and threat intelligence problems.
At Mandiant, our threat intelligence operations are based on the five phases of the Threat Intelligence Lifecycle, shown in Figure 1. The lifecycle shows the collection and progressive refinement of intelligence from raw data to actionable intelligence that holistically captures the threat landscape for our customers. AI is used at each stage in the lifecycle to enrich the data with detection information, extract critical details from unstructured data, normalize and categorize that data, prioritize the intermediate outcomes, and give customers the intelligence necessary to proactively defend against emerging threats...Read More!
