MIxmode Blog
The latest stories on Cybersecurity, AI, and everything in between from MixMode
Not all Artificial Intelligence is created equal. As we move towards a future where we lean on cybersecurity much more in our daily lives, it’s important to be aware of the differences in the types of AI being used for network security.
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In the face of intelligent cyber threats, the best defense is to supplement traditional methods with anomaly detection through unsupervised artificial intelligence (AI).
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Top cybersecurity best practices for modern organizations’ network security, data protection, and bottom line safeguarding.
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From Network Detection and Response (NDR) to potentially helping to displace passwords as the user authentication standard, there are many reasons why AI is helping advance modern cybersecurity.
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Why Managed Service Providers should consider focusing on cybersecurity and how to build the tech stack for your new MSSP practice.
Read More5 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“Packetsled provides the enrichment that triggers early warnings and proactive action to prevent breaches.” Dr. Stephenson SC Magazine’s Dr. Peter Stephenson analyzes the best threat hunting platforms in cyber security. Read the full blog here About MixMode MixMode is the first to bring a third-wave, context-aware AI approach that automatically learns and adapts to dynamically changing environments. […]
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About MixMode
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.