The Problem with Relying on Log Data for Cybersecurity

One of the most prevalent issues impacting the effectiveness of security teams who use SIEM as their primary means of threat detection and remediation is the fact that data logs are an attractive medium for modern hackers to exploit.
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Whitepaper: Self-Supervised Learning – AI For Complex Network Security

Artificial Intelligence – or AI – has become a buzzword since it emerged in the 1950s. However, all AI systems are not created equal. In our white paper, “Self-Supervised Learning – AI For Complex Network Security,” Dr. Pe… Continue reading Whitepaper: Self-Supervised Learning – AI For Complex Network Security

Self-Supervised Learning – The Third-Wave in Cybersecurity AI

The relationship between modern cybersecurity solutions and AI has become inextricable. The reality is that even the most talented and responsive SecOps teams would be unable to manually catch every threat posed to the sprawling, hybrid networks on whi… Continue reading Self-Supervised Learning – The Third-Wave in Cybersecurity AI

CTO Perspective: Machines Protecting Themselves – The Future of Cybersecurity

We interviewed MixMode CTO Dr. Igor Mezic to better understand how machines should be protecting themselves with AI, what roles humans play, and how the DoD and the private sector both benefit from rapid innovation in cybersecurity.
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Don’t Fall for the Hype – Marketing Myths in Artificial Intelligence for Cybersecurity

The cybersecurity provider landscape is cluttered with impossible claims, misrepresentations, and a confusing mix of inconsistent terminology. Worse, every minute you delay making a decision is another minute hackers have to gain access and knowledge a… Continue reading Don’t Fall for the Hype – Marketing Myths in Artificial Intelligence for Cybersecurity