Incremental Stacking of Correlative Analysis Platforms Will Ultimately Prove Ineffective and Costly

On the surface, an “incremental stacking” approach to correlative analysis platforms like SIEM, XDR and UEBA is logical. Organizations can overcome some of the inherent limitations present in their security solutions by adding a network traffic analysi… Continue reading Incremental Stacking of Correlative Analysis Platforms Will Ultimately Prove Ineffective and Costly

How Self-Supervised AI Tackles Ambiguity in Network Security

Cybersecurity vendors promise the moon when it comes to AI. As the recent TechRepublic article, “Why cybersecurity tools fail when it comes to ambiguity,” makes clear, often, these promises fail short in real world network environments.
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Our Top 2020 Cybersecurity Insights

The transition from office to remote environments was abrupt and one of the most defining moments that the cybersecurity industry and professionals faced in 2020. We wrote about the top issues CISOs were facing throughout the year but also doubled down… Continue reading Our Top 2020 Cybersecurity Insights

Russian Hack of U.S. Federal Agencies Shine Spotlight on SIEM Failures in Cybersecurity

In what the New York Times is calling, “One of the most sophisticated and perhaps largest hacks in more than five years,” malicious adversaries acting on behalf of a foreign government, likely Russian, broke into the email systems of multiple U.S. Fede… Continue reading Russian Hack of U.S. Federal Agencies Shine Spotlight on SIEM Failures in Cybersecurity

Recent Ransomware Attacks on U.S. Hospitals Highlight the Inefficiency of Rules-Based Cybersecurity Solutions

A number of recent high profile ransomware attacks on U.S. hospitals have demonstrated the urgency for organizations, municipalities, and critical services to take a proactive approach to protecting networks with a predictive AI solution.
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Stop Patching Leaks in Your Cybersecurity Boat: A Streamlined Cybersecurity AI Solution to Adversarial Attacks

At MixMode our one algorithm is capable of catching any anomaly that may appear on the network. In contrast, other security programs rely on a reactive method of patching and constantly adding to their algorithms each time a hack occurs so that the net… Continue reading Stop Patching Leaks in Your Cybersecurity Boat: A Streamlined Cybersecurity AI Solution to Adversarial Attacks

The Case Against Using a Frankenstein Cybersecurity Platform

The cybersecurity market has, simply put, been cobbled together. A tangled web of non-integrated systems and alerts from siloed systems. Enterprises are now being forced to utilize a “Frankenstein” of stitched together tools to create a platform that m… Continue reading The Case Against Using a Frankenstein Cybersecurity Platform

Improving on the Typical SIEM Model

Despite its inherent flaws, today’s SIEM software solutions still shine when it comes to searching and investigating log data. One effective, comprehensive approach to network security pairs the best parts of SIEM with modern, AI-driven predictive anal… Continue reading Improving on the Typical SIEM Model

3 Reasons Why a Rule-Based Cybersecurity Platform Will Always Fail

When it comes to advancements in cybersecurity, rule-based systems are holding the industry back. Relying on humans to constantly input and label rules in order to detect and stay ahead of threats is a bottleneck process that is setting security teams … Continue reading 3 Reasons Why a Rule-Based Cybersecurity Platform Will Always Fail

Magnify Podcast: Discussing the New Normal with AI Based Cybersecurity Specialists, MixMode

Geoff Coulehan, MixMode’s Head of Strategic Alliances, joined Secrutiny’s “Magnify Podcast,” to discuss the priorities CISOs should focus on to better protect their now-remote team of employees.
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