Cyber Security and Threat Analysis: Attack Stories

Fighting an Invisible Adversary
CrowdStrike analyzes millions of security events daily, while Palo Alto Networks tracks global cybercriminal campaigns. SOC (Security Operations Center) teams at thousands of companies strive to identify patterns in a sea of security alerts.
The problem is that traditional SIEM (Security Information and Event Management) systems capture pinpoint events, but lose the context and continuity of attacks. Analysts often focus on individual alerts but overlook the broader context of cyber campaigns that can last for months.

VectorDiff as a Cyber Detective
VectorDiff enables the creation of „cyber-attack biographies” – semantic stories that describe comprehensive campaigns, from reconnaissance to infiltration, escalation of privileges to data exfiltration. Each attack becomes an object with its history of tactics, techniques, and procedures.
Analysis example: Instead of seeing hundreds of independent alerts, an analyst can „play a video” of an entire APT (Advanced Persistent Threat) campaign – how the attackers used spear-phishing to gain initial access, how they moved laterally through the network, what tools they used, and what data they stole.

Predictive Cyber Security
Early threat detection: Systems can recognize patterns of behavior preceding full-scale attacks, enabling defense before the damage is done.
Threat hunting: Analysts can proactively search for threats by analyzing the semantic histories of all network activity.
Global information sharing: Organizations can share attack histories (with anonymity), creating an international knowledge base of cybercriminals’ tactics.

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