MIxmode Blog
The latest stories on Cybersecurity, AI, and everything in between from MixMode
There’s bad news and not-so-bad news in the world of cybersecurity. In a recent report, Google revealed a significant rise in zero-day attacks, those exploiting previously unknown software vulnerabilities. However, despite the increase, there’s a silver lining.
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As cyber threats grow more sophisticated, organizations are starting to turn to artificial intelligence (AI) to reinforce their security operations. But how widespread is the adoption of AI, and how effectively is it being leveraged?
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Hackathon events like Pwn2Own Automotive 2024 play a crucial role in shedding light on zero-day attacks and significantly benefit security teams in several ways. These events bring together talented security researchers, ethical hackers, and industry professionals to uncover and demonstrate vulnerabilities in automotive technologies, including zero-day exploits.
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“Zero-day Summer” refers to the period during summertime when cybercriminals take advantage of the vulnerabilities in software, applications, and computer systems that remain undetected and unpatched by security teams.
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We discuss a real-life example of a zero-day exploit, focusing on the MOVEit Transfer Software, and how MixMode can detect and mitigate such threats before they become widespread.
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Zero-day attacks are considered the number one cybersecurity threat to company networks large and small. Understand what they are, why it’s so hard to detect them, and how artificial intelligence (AI) is helping to solve this modern problem.
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Hosted by Mark Ehr, Senior Consulting Analyst for 451 Research Advisors and Igor Mezic, Chief Scientist and CTO for MixMode on Tuesday, November 1st at 1pm EST / 10am PST, they will discuss why security analytics needs to include advanced Third-Wave AI, which autonomously learns normal behavior and adapts to constantly changing network environments, to address the next generation of cyberthreats and increase SOC productivity.
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In the report, 451 Research explains why security analytics needs to include advanced Third-Wave AI, which autonomously learns normal behavior and adapts to constantly changing network environments, to address the next generation of cyberthreats and increase SOC productivity.
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Of all the challenges facing the modern SOC, two stand out among the most persistent and difficult to overcome: an overwhelming volume of false positive alerts and an alarming escalation in zero-day and novel threats that are often imperceptible by legacy systems.
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The number of zero-day exploit discoveries hit record numbers in 2021, according to Google Project Zero. Instances of “in-the-wild 0-days” were up nearly double versus 2020, when only 25 0-day exploits were detected. In 2021, the total was 58.
Read MoreAbout 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.