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The Gartner® Market Guide for Network Detection and Response sheds light on the key trends and recommendations for security and risk management leaders looking to leverage NDR capabilities. MixMode was listed as a representative vendor within the market guide, offering advanced AI capabilities that enhance network detection and response.
MixMode today announced enhancements to the MixMode Platform aimed at reducing risk and empowering security teams. Featured enhancements include AI-powered threat prioritization that combines MixMode’s patented AI with known indicators of compromise and customer domain knowledge.
We have now reached the Third wave of AI: Contextual Reasoning. This revolutionary approach, pioneered by MixMode in cybersecurity, utilizes self-supervised and explainable AI to independently learn and adapt without reliance on rules or training data.
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.
While a significant portion (53%) of respondents acknowledge their organization’s early-stage adoption of AI, only 18% report full deployment into integrated security programs. This cautious approach reflects the need for careful planning and implementation to ensure AI enhances, rather than hinders, security posture.
MixMode has been honored by CRN®, a brand of The Channel Company, with inclusion in its 2024 Partner Program Guide. The annual guide is the definitive listing of the most rewarding partner programs from leading technology vendors that provide products and services through the IT channel. Those named to the exclusive annual listing assist channel partners in locating the IT vendors that best match their individual business needs and goals.
The cybersecurity landscape is under siege. Organizations are bombarded by a relentless barrage of security alerts, often exceeding a staggering 22,111 per week on average. While Artificial Intelligence (AI) has emerged as a powerful tool to manage this overwhelming volume, its effectiveness isn’t without limitations, as vendors flood the market with false advertising and promises.
MixMode has been recognized on the Forbes list of America’s Best Startup Employers 2024. This prestigious award is presented by Forbes and Statista Inc., the world-leading statistics portal and industry ranking provider. The awards list, announced in March 2024, highlights the top 500 startup companies nationwide and can be viewed on the Forbes’ website.
This week, we’re looking into how the rise of artificial intelligence (AI) has significantly altered the threat landscape, introducing challenges and opportunities for organizations seeking to safeguard their data and infrastructure.
The terms “machine learning” and “artificial intelligence” are frequently used in cybersecurity, often interchangeably, leading to confusion about their precise meanings and applications. Both machine learning and artificial intelligence play pivotal roles in fortifying cybersecurity defenses, yet they encompass distinct methodologies and applications. What are the disparities between them? And how do these technologies converge to bolster cyber resilience?
Attention, fellow news anchors and concerned citizens! Rob Burgundy is here to tackle a story hotter than a disco inferno in polyester pants: Artificial Intelligence (AI) and Cybersecurity. That’s right, folks. In this digital age, hackers are running rampant like greased weasels in a chicken coop, stealing our precious data faster than you can say “glass case of emotion.” But fear not, for organizations are turning to a new weapon in this cyber war: AI, the thinking machine!
A new report from Microsoft and Open AI shows how attackers are increasingly using artificial intelligence (AI) to improve their cyberattacks. The report found that nation-backed groups use LLMs for research, scripting, and phishing emails.
MixMode today announced that the City of Dallas, Texas has entered into a partnership with MixMode, an advanced cybersecurity platform, to bolster their cybersecurity defenses.
Despite AI’s potential to help defend against cyber attacks, AI adoption in cybersecurity practices remains in its early stages. Why is this the case, and how can organizations overcome these hurdles to pave the way for a secure future?
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?
MixMode, the leading provider of AI-powered cybersecurity solutions, announced the release of its inaugural State of AI in Cybersecurity Report 2024 today. The report is based on a survey conducted by the Ponemon Institute of US cybersecurity professionals who share how AI is used for cybersecurity in their organizations.
Organizations continue to face increasingly sophisticated cyber threats that require a proactive and adaptive approach to cybersecurity. As the volume and complexity of security data grows, security professionals are turning to advanced AI technologies to enhance their capabilities and stay ahead of emerging threats.
MixMode, the leading provider of advanced AI-powered cybersecurity solutions, today announced that CRN®, a brand of The Channel Company, has named Todd DeBell, VP of Global Channel and Alliances at MixMode, to the prestigious 2024 CRN® Channel Chiefs list. This annual list honors the technology industry’s top-performing channel executives who continually demonstrate outstanding leadership, influence, innovation, and growth.
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.
As organizations grapple with the limitations of legacy security controls in the face of increasingly sophisticated cyber threats, integrating AI-driven threat detection and response capabilities presents a compelling opportunity to bolster their defenses.