CTI Teams have long relied on sandboxing to analyze threats and extract IOCs. But —treating individual IOCs ( aka clues left behind) in isolation is a common pitfall. This isn’t a brand-new challenge, and many experts have advocated for moving away from indicator-only feeds. Still, the conversation is worth revisiting
Introduction Cyber threat intelligence (CTI) has become a cornerstone of cybersecurity operations. Yet many organizations still rely on outdated CTI models—reactive, fragmented, and often ineffective against today’s fast-evolving threat landscape. In the recent article “Enhancing Cyber Resilience: Leveraging Advanced Threat Intelligence Strategy and Tools Against Cyber Threats”, Adam Palmer, CISO
When it comes to cybersecurity, speed and accuracy are everything — especially in the financial sector, where targeted and industry-specific attacks are on the rise. For Northwestern Mutual, a leader in financial services, the challenge was clear: streamline their threat investigation process, minimize false positives, and ensure their incident response
Executive summary: The second half of 2024 shows how attackers are continuing to refine their tactics to target both organizations and individuals. The period saw substantial financial losses, including the continuation of ransomware extortions and large-scale phishing campaigns. High-profile incidents targeted major platforms like Facebook, GitHub, and LinkedIn, alongside government
In an era where cyber threats evolve faster than ever, organizations need more than raw data—they need actionable threat intelligence. This intelligence transforms overwhelming threat feeds into prioritized, contextual insights that cybersecurity teams can act on immediately. At VMRay, a leader in advanced malware sandboxing and context-rich threat intelligence, we
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