What if todays security analysts had access to the most timely and relevant threat intelligence, in a consumable easy to understand manner that was interpretable, verifiable, and explainable?
Watch our webinar as we examine the next generation of explainable threat intelligence solutions and how ReversingLabs has taken a fresh look at machine learning classification.
In this session, well discuss:
- How contemporary malware is challenging security teams, and why destructive object insights are so relevant;
- How new explainable machine learning models are improving analyst malware knowledge and SOC productivity over time;
- How the concept of transparency and being able to defend a classification decision is empowering the SOC team and facilitating cross functional collaboration;
- How this new threat intelligence integrates to existing environments (e.g. SIEM, SOAR) and maps to common attack frameworks (MITRE ATT&CK).
