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Navigating the Maze: A Measured Approach to AI Adoption in Cybersecurity

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.

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MixMode Garners Spot in 2024 CRN® Partner Program Guide

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.

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The AI Advantage: Mitigating the Security Alert Deluge in a Talent-Scarce Landscape

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.

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MixMode Included on Forbes’ America’s Best Startup Employers 2024 List

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.

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The Evolving Threat Landscape: Why AI is Essential for Cybersecurity Success

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.

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Unveiling The Applications and Distinctions of Machine Learning and Artificial Intelligence in Cybersecurity

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?

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AI and Cybersecurity: A Rob Burgundy Investigation

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!

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Chat GPT and Nation-State Attackers: A New Era of AI-generated Attacks

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.

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Navigating the Uncertain Path: Why AI Adoption in Cybersecurity Remains Hesitant, and How to Move Forward

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?

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The Current State of SOC Operations Shows The Escalating Need for AI in Cybersecurity

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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MixMode Releases the First-Ever State of AI in Cybersecurity Report 2024

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.

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Harnessing the Power of Advanced AI to Optimize Security

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.

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Todd DeBell of MixMode Recognized as 2024 CRN® Channel Chief

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.

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Driving Towards Zero-Days: Hackers Take Turns Uncovering Exploits at Pwn20wn

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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Augmenting Legacy Controls with AI-driven Threat Detection and Response

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.

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Limitations of Legacy Cybersecurity Solutions Against AI-generated Attacks

The emergence of AI-generated attacks represents a paradigm shift in the cyber threat landscape, posing unprecedented challenges to traditional security solutions. Legacy solutions struggle to contend with intelligent attack automation techniques employed by threat actors, and the overwhelming flood of new malware samples and indicators makes it harder to defend against these attacks.

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Whitepaper: OVERCOMING THE LIMITS OF LEGACY DETECTION TOOLS IN TODAY’S THREAT LANDSCAPE WITH ADVANCED AI

The history of cybersecurity is a tale of constant evolution, marked by the rise and fall of various defense mechanisms in the face of ever-changing threats. Security tools such as antivirus software and firewalls have long been the stalwarts of cyber defense, forming the bedrock of protection for organizations worldwide. While effective in their time,

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