Explainable Threat Intelligence - Moving Beyond "Black Box" Threat Convictions

Presented by

Tomislav Pericin, Chief Software Architect & Co-Founder, ReversingLabs & Chip Epps, Director of Product & Solutions Marketing

About this talk

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).

Related topics:

More from this channel

Upcoming talks (1)
On-demand talks (19)
Subscribers (1466)
ReversingLabs is the leading provider of explainable threat intelligence solutions that shed the necessary light on complex file-based threats for enterprises stretched for time and expertise. Its hybrid-cloud Titanium Platform enables digital business resiliency, protects against new modern architecture exposures, and automates manual SOC processes with a transparency that arms junior analysts to confidently take action.