Why Responding to a Cyber Attack with a Traditional SIEM Leaves You Vulnerable
An enterprise's inability to detect cyber attacks has tangible effects on its productivity and profitability. Various reports have noted a correlation between the time it takes to spot an intrusion and the cost of recovery ... Read More
Why Responding to a Cyber Attack with a Traditional SIEM Leaves You Vulnerable
An enterprise's inability to detect cyber attacks has tangible effects on its productivity and profitability. Various reports have noted a correlation between the time it takes to spot an intrusion and the cost of recovery ... Read More
Techiexpert: How Predictive AI Protects Against Ransomware, GANs and More
MixMode CTO and Chief Scientist, Igor Mezic, recently contributed an article for Techiexpert that examines three modern AI adversarial attacks, the financial toll they are having on some of our most important systems (including healthcare), and how predictive, third-wave AI is the only future-proof cybersecurity solution to protect organizations from ... Read More
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
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
