MIxmode Blog
MixMode Product Updates, Stories on Cybersecurity, AI, and Everything in Between.
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RAVENii, a leading managed services provider, was launched in 2014, bringing decades of front-line experience across many cybersecurity domains; while harnessing the power of its global network of seasoned security experts to keep abreast of the ever-changing threat landscape. Today, RAVENii supports multiple organizations with its “Gray Matter” approach to cybersecurity in an unceasing effort […]
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Gartner recently released their newest report titled “Emerging Tech: Security – Improve Threat Detection and Response With AI-Based Behavioral Indications” which covers the emergent need for new AI-Based methods of using behavioral patterns to identify threats.
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With more and more large organizations relying on technology to conduct business, the need for a skilled CISO has become increasingly important. No longer just overseeing IT security efforts, the CISO is now responsible for a wide range of cyber defenses from data protection to compliance and even physical security.
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Although generative models have been in development for some time, ChatGPT’s public release has raised important questions about the nature of these models, their potential impact, and their role in fields like cybersecurity. To understand their significance, Dr. Mezic explores the history and development of AI, distinguishes between the different waves of AI technology, and ultimately the implications for cybersecurity.
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Simply put, global channel management is about enabling, co-selling, and co-marketing with customers in international markets.
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A more holistic approach that encompasses oversight of critical apps, data, and processes related to business function could reduce risk while saving money, according to a recent CIO article. In other words, shifting from a risk assessment approach that primarily focuses on IT systems to a more business-oriented approach can help companies uncover cost savings while improving their overall security posture.
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MixMode, the only self-supervised AI-based real-time, risk detection platform in cybersecurity, announced today its selection for the fourth annual CyberTech100 list of transformational cybersecurity companies that financial institutions need to know about.
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Municipalities, in particular, are increasingly being targeted by ransomware attackers. A recent report showed that ransomware attacks on local governments increased by 70% for 34-58% of those surveyed, and that those attacks were more expensive than ever, with five- and six-digit ransom demands becoming the norm.
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When businesses trust providers to address needs like cybersecurity, they are entrusting vital intellectual property, the private data of employees, consumers, and others, and often, the very infrastructure the business requires to operate.
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When it comes to Cybersecurity and Generative AI, you have to look at what traditionally takes time and investment by expert practitioners. One of the major things SOC analysts have to build and maintain is an alerting framework for their environment.
Read MoreAbout MixMode
MixMode is a no-rules Cybersecurity platform, serving large enterprises with big data environments across a variety of industries. MixMode delivers a patented, self-learning platform that acts as the Intelligence Layer℠ to detect both known and unknown attacks, including novel attacks designed to bypass legacy cyber defenses. This is accomplished in real-time, across any cloud or on-premise data stream. Trusted by global entities in banking, public utilities and government sectors, industry cyber leaders rely on MixMode to protect their most critical assets. The platform dramatically improves the efficiency of SOC teams’ previously burdened with writing and tuning rules and manually searching for attacks. The MixMode platform can be deployed remotely, with no appliances, in under an hour with business outcomes evident within days. Backed by PSG and Entrada Ventures, the company is headquartered in Santa Barbara, CA. Learn more at www.mixmode.ai.