AugustSchell
Events We Are Sponsoring
In an era of escalating geopolitical tensions and sophisticated cyber threats, public sector defense requires more than reactive security—it demands proactive, intelligence-driven operations.
This exclusive event brings together the power of Google Threat Intelligence (GTI), Mandiant’s frontline incident response expertise, and VirusTotal’s unmatched global telemetry. Designed specifically for government cyber defenders, this session will move beyond theoretical strategy to demonstrate practical, actionable blueprints for modernizing your agency’s Security Operations (SecOps).
Whether you are prioritizing critical vulnerabilities, monitoring the dark web for leaked credentials, or hunting for ephemeral nation-state malware, you will learn how to turn massive global threat datasets into localized, high-fidelity defense.
- Vision & Strategy: How Google unifies Mandiant expertise, VirusTotal telemetry, and global signals into a cohesive, mission-ready SecOps and Threat Intelligence roadmap.
- Vulnerability Intelligence: Bypassing raw CVSS noise by using GTI Priority Ratings and infrastructure tagging to prioritize the vulnerabilities that adversaries are actively exploiting.
- Digital Threat Monitoring (DTM): Safely navigating dark web forums and writing custom Lucene queries to intercept leaked agency credentials and sensitive data.
- Brand Monitoring: Mastering fuzzy domain searches and visual dhash tracking to identify and take down malicious, brand-spoofing phishing infrastructure.
- Ephemeral Private Scanning: Detonating and analyzing high-sensitivity files in a secure, private enclave sandbox without exposing data to the public community.
- AI-Powered Indicator Analysis: Leveraging LLM-powered Code Insight to automatically translate complex scripts into plain-English summaries while using vHash to cluster malware.
- Advanced Threat Hunting: Join us to learn about deploying custom YARA rules for real-time Livehunt blocking and running multi-terabyte Retrohunt scans across historical datasets.
