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.
Packetsled Query Language (PQL) addresses the need of analysts to ask questions from large amounts of data without being forced to learn a complicated query language. It is a simple, intuitive expression language that lets users focus on finding what they need quickly.
