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.
Dr. Igor Mezic, CTO and Chief Scientist at MixMode and world renowned AI researcher, has joined the Forbes Technology Council, an invitation-only community for world-class CIOs, CTOs and technology executives.
In partnership with Ravenii, our 60-minute talk was hosted by MixMode’s Head of Sales and Alliances, Geoff Coulehan, CEO of Ravenii, Jeff Shipley, and MixMode’s CTO & Chief Scientist, Igor Mezic. They discussed key topics including:
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.
MixMode CTO and Chief Scientist, Igor Mezić, has received the prestigious J.D. Crawford Prize from the Society for Industrial and Applied Mathematics (SIAM). The prize is awarded every two years to one individual for a significant accomplishment in the area of nonlinear science. Dr. Mezic received the award for his mathematical theory that makes it easier to understand and speed up an array of previously unsolvable computations in a wide range of applications, including fluid dynamics, energy-efficient design, network security and operations, and complex systems dynamics.
MixMode has been recognized as one of the best tech startups in Santa Barbara in 2021. Thank you to the staff at The Tech Tribune for this honor.
MixMode CTO and Chief Scientist, Igor Mezic, recently contributed an article for CPO Magazine that examines the evolution of Machine Learning (ML) and Artificial Intelligence (AI) within cybersecurity, the three waves of AI, and the modern-day application of predictive AI in cybersecurity to protect against adversaries who are also utilizing AI technology.
Some of you may have seen the “funny” statistic in the last few months that during the pandemic, ice cream sales are way up while deodorant sales are way down. Let’s just say that, for me, it’s coffee ice cream. Dessert aside, this stat does lead one to think about what other trends occur during a pandemic or a crisis when we look back at events such as world wars, the Great Depression, the Global Financial Crisis (GFC) of 2007-08, etc.
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 on sharing insights about the evolution of next-generation SOCs, the failure of SIEM platforms as organizations are experiencing them today, and how self-supervised AI fits into the equation.
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 these intelligent attacks.
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.
MixMode is proud to release our platform sensor for Google Cloud! With this capability, customers can now monitor their Google Cloud infrastructure for security anomalies and zero-day attacks, using the same industry-recognized MixMode platform enterprises already use for on-premise security monitoring, Amazon Web Services monitoring, and Microsoft Azure monitoring.
One thing is clear: more spend does not equal more security and the next generation of cybersecurity tools will route out these inefficiencies.
MixMode leaders John Keister, Dr. Igor Mezic, Bryan Elliot, and Russell Gray share how the single algorithm that is the foundation of MixMode’s self-learning AI can understand and continually build a generative baseline of your network without human training.
Our newest whitepaper, “How Predictive AI is Disrupting the Cybersecurity Industry,” evaluates several common SecOps issues around Network Traffic Analysis, explaining why typical solutions are wholly ineffective and represent sunk costs versus added value. We examine how self-supervised learning AI is poised to overcome the SecOps challenges of protecting today’s distributed networks.
Companies of all shapes and sizes are under siege from a cybersecurity perspective as we navigate the waters of the Covid-19 crisis. As enterprises adjust to a work-from-home population that grew from 20% to greater than 80% of employees almost overnight, CISOs must navigate a radical change in the shape of their corporate networks, and …
Supporting Cybersecurity Programs throughout the Covid-19 Crisis Read More →
As enterprises establish their custom hybrid environments, many security departments are realizing that while they have many sophisticated tools on the on-premise corporate traffic side, they don’t have the same level of visibility of their cloud traffic.
IDC, the premier global market intelligence firm, recently released a vendor report on MixMode’s Next-Generation AI Powered network traffic analysis platform. Ritu Jyoti, Program Vice President, Artificial Intelligence (AI) Research with IDC’s software market research and advisory practice wrote the profile. In it, she examines how MixMode’s AI-enabled, multistream security platform empowers security teams to …
IDC Report: MixMode – An Unsupervised AI-Driven Network Traffic Analysis Platform Read More →
Today we announced the completion of our Series A round of funding, raising a total of $4 million led by Entrada Ventures. The round included participation from existing investors including Keshif Ventures and Blu Venture Investors. The new funding will be used to expand MixMode’s AI-powered network traffic analytics platform and to fuel the growth of our worldwide network of customers and partners.
