Collaborate Disseminate
Deep learning makes decisions based upon the data it sees and the data that it doesn’t see but infers from what it does see. This became useful in the AV industry when the adversary introduced polymorphic viruses. These are viruses that change th… Continue reading Machine Learning, Deep Learning and Neural Networks, Oh My!
While SIEM is undoubtedly a step up from unmonitored network environments, the inherent nature of today’s SIEM software often falls short in several important ways. SIEM is an outdated solution for adequately protecting networks within the modern… Continue reading 4 Challenges of Stand-Alone SIEM Platforms
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
For the past few years, many have been talking about the changing “threat landscape” as it pertains to the increase in zero day, insider and phishing threats. While all of these threats are on the rise, and constitute a concern, there is, p… Continue reading Encryption = Privacy ≠ Security
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