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 network learns what to look out for ... Read More

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 might cover their security bases ... Read More

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 up for failure, especially with tools like SIEM, NDR, ... Read More

Why SIEM Has Failed the Cybersecurity Industry

The time required for data processing, transition, aggregation, and the normalization does not allow real-time threat detection using today's SIEM solutions. The only beneficiary of security through log aggregation is the SIEM vendor ... Read More

What is Predictive AI and How is it Being Used in Cybersecurity?

The predictive AI field of machine learning collects, analyzes, and tests data to predict future possibilities. AI’s neurological network is patterned on the human brain. But AI works on a scale that goes far beyond what is humanly possible. The top uses for predictive AI technologies to protect sensitive data ... Read More

Why The Future of Cybersecurity Needs Both Humans and AI Working Together

A recent WhiteHat Security survey revealed that more than 70 percent of respondents cited AI-based tools as contributing to more efficiency. More than 55 percent of mundane tasks have been replaced by AI, freeing up analysts for other departmental tasks ... Read More
MixMode CTO Responds to LeCun’s Self-Supervised AI Hopes

MixMode CTO Responds to LeCun’s Self-Supervised AI Hopes

Yann LeCun and Yoshua Bengio were recently interviewed by VentureBeat Magazine on the topics of Self-supervised learning and human-level intelligence for AI. Our CTO Dr. Igor Mezic sat down with our team to discuss some of the most interesting pieces of the LeCun article, and offer a potential solution to ... Read More
Self-Supervised Learning – The Third-Wave in Cybersecurity AI

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 which today’s organizations rely. Forward-looking organizations know they need to bring AI ... Read More

One Thing All Cybersecurity teams Should Have During COVID-19

COVID-19 has caused most corporate businesses that remain open to shift to a work from home, remote workplace. Because of this, the cybersecurity industry has been turned on its head. Security teams went from monitoring and protecting established network environments to quickly pivoting their tools, resources, and oversight to manage ... Read More

The Many Ways Your Employees Can Get Hacked While Working From Home and How to Respond

Although it is not surprising at all that hackers are taking advantage of the global pandemic —phishing threat reports are always highest when there is some natural disaster happening— we have never before had such an unsafe environment to protect. Here are a few of the most popular malicious acts: ... Read More
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