The latest stories on Cybersecurity, AI, and everything in between from MixMode
Chief Scientist and CTO for MixMode, Igor Mezic, wrote this article for Forbes magazine on the advantages of moving away from a legacy rule-based cybersecurity platform to a third-wave AI platform that can better detect zero-day threats.Read More
Log4j is the latest example of a zero-day exploit to be discovered and put a big part of the industry into chaos. Given its wide adoption by developers, the impact of the log4j exploit is quite broad and will take a tremendous amount of time to resolve.Read More
ou may be surprised to learn that log data is proprietary to each security platform vendor. There is no standard format or even a standard labeling mechanism. Your data only has context within the parameters of your SIEM vendor.Read More
How sure are you that log files represent the best source of information to base your entire Cybersecurity program upon? Log data is the cornerstone of every traditional cybersecurity platform including SIEM (Security Information and Event Management), UEBA (User and Entity Behavior Analytics), and xDR (Detection and Response).Read More
While we’re seeing more data breaches than in years past, being proactive can make an enormous difference. Head-in-sand is not the optimal position for any modern organization with a network-based infrastructure. Education about the nature of modern data breaches is a great place to start.Read More
Just like the SOC analyst, the TVA has to find these threats and remove them as quickly as possible. Let’s say you are tasked with being this TVA agent and are told you need to search all the timelines (an almost infinite number of them) and find all the Loki variants to have them removed.Read More
We recently released a new video to better explain how MixMode’s next-generation cybersecurity anomaly detection platform combines the functionality of SIEM, NDR, NTA and UEBA for advanced threat detection, zero day attack identification, false positive alert reduction, forensic investigation and more.Read More
It’s evident that while organizations are spending more and more on legacy cybersecurity solutions, these platforms are not holding up their end of the deal and are not able to proactively defend in a modern, non-signature attack threatscape.Read More
MixMode is the first to bring a third-wave, context-aware AI approach that automatically learns and adapts to dynamically changing environments. MixMode’s monitoring platform, PacketSled, better understands network behavior as it adapts to baseline changes and enables both misuse detection and anomaly detection, as well as predictive maintenance. Used by enterprises and MSSPs for real-time network analysis, threat hunting and incident response, the platform leverages continuous stream monitoring and retrospection to provide network forensics and security analytics. Security teams can integrate PacketSled into their orchestration engine, SIEM, or use PacketSled independently to dramatically reduce false positive alerts and the resources required to respond to persistent threats, malware, insider attacks and nation state espionage efforts.
The company has been named an innovator in leading publications and by security analysts, including SC Magazine, earning a finalist award in 2018 and 2019 for "Best Computer Forensic Solution.” Based in Santa Barbara, with offices in San Diego, the company is backed by Keshif Ventures and Blu Venture Investors. For case studies, continuous product updates and industry news, please visit us at www.mixmode.ai.