MixMode Product Updates, Stories on Cybersecurity, AI, and Everything in Between.
Here we describe the type of information that Mixmode’s AI system “looks” at for decision-making, and emphasize how it is human-like in behavior but with a substantially enhanced computational capacity.
Learn how MixMode ingests your CloudTrail logs into our platform and apply a layer of our Proprietary AI to give you advanced anomaly detection and alerting.
Here we will discuss some of the opportunities and challenges that can arise with anomaly detection as well as MixMode’s unique approach to the solution using Unsupervised AI.
Is AI Fundamental to the future of Cybersecurity? Artificial Intelligence and Machine Learning are words we hear thrown around a lot, often arbitrarily in the cybersecurity space. However, they are instrumental to the development of our industry. According to this article by Sam Bocetta for CSO,if you turn a blind eye to AI and you will …Read More
Since its commercial launch in 2015, the PacketSled platform was rooted in the Network Forensic and Incident Response space, garnering several awards and mentions for this capability1. In Q1 2019, PacketSled launched an all-new platform combining this forensic capability with artificial intelligence that is purpose-built for false positive alert suppression. We also changed our trade name to …Read More
Artificial Intelligence is Fundamental to the Future of Cybersecurity According to a 2019 SME Cyber Security Report by Senseon, eighty-one percent of small and medium-sized enterprises (SME) think Artificial Intelligence (AI) is crucial to the state and future of cybersecurity. Key findings in the report include: 88% of SMEs have a dedicated security budget 53% think an …Read More
I recently attended NTTSecurity’s webinar, “How to Shine a Light on Operational Technology Risk,” to learn more about current Operational Technology (OT) risks and the security challenges facing different industrial control systems (ICS) and supervisory control and data acquisition systems (SCADA). As a client success and support leader servicing customers in various OT sectors, I recommend …Read More
Last week The Baltimore Sun reported that Baltimore City Government computers were infected for a second time in just over a year with a certain type of ransomware, RobbinHood, in which hackers lock up files using encryption so users can’t access them. The bad actors then demand payment to provide the cyber keys to unlock the files, …Read More
Originally published on 5/20/19 on scmagazine.com, this article by Dr. Peter Stephenson is the first in a four-part series to help enterprise and security professionals discover the tools needed to deploy a next-generation enterprise security stack. As it features MixMode as the true AI system needed for your deception network, we wanted to share the article here on our …Read More
MSSPs are helping their customers deal with a fast-paced and ever-evolving threat landscape. It is critical, now more than ever, to evaluate new monitoring tools that produce more actionable data and alerts to help unearth and combat these modern threats more efficiently. I recently read an article titled “4 Technologies SMBs Can Use to Modernize …Read More
Most security professionals are well-versed in understanding log files and their importance. Most organizations with a security program operate a SIEM (Security Incident and Event Management) so they can track events around their network. They may use Splunk, FireEye, SolarWinds, QRadar, LogRhythm or many others for a SIEM solution. A SIEM is a very important way to keep track of log …Read More
How AI is Solving the False Positives Problem in Network Security By Ana Mezic, Marketing Coordinator at MixMode The term “False Positives” is trending in the cybersecurity industry right now. Rightfully so. Managing the impossible amount of alerts IT teams get from their cybersecurity software is an issue that demands a solution as hackers and gatekeepers play tug-of-war …Read More
5 reasons why Context-Aware Artificial Intelligence (CAAI) is needed in Cybersecurity CAAI delivers understanding of the network baseline and reducing false positives By Dr. Igor Mezic, CTO and Chief Scientist Artificial Intelligence (AI) has surfaced as the technology of the day, in the same way internet, personal computers, airplanes and cars have in earlier eras. And, just like these others …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.