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Whitepaper: The False Promises of AI in Cybersecurity

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Cybersecurity is a battlefield where innovation is paramount. Artificial intelligence (AI) has emerged as a potential game-changer, promising to revolutionize threat detection and response. Vendors have made bold claims, promising their AI-powered solutions will provide unparalleled capabilities, eliminate false positives, and autonomously defend against even the most sophisticated attacks.

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AI: Friend or Foe? Unveiling the Current Landscape with MixMode’s State of AI in Cybersecurity Report

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If you’ve been following along in this series, you already know that Artificial Intelligence (AI) has emerged as a powerful tool for organizations to strengthen their cybersecurity defenses. But how is AI being used in cybersecurity today, and what are its key benefits?

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

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

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

Adversarial AI, AI, Blog, Cybersecurity Industry, Cybersecurity News, generative AI, infrastructure, Third-Wave AI / By

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

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

Adversarial AI, AI, Blog, Context-Aware AI, Cyber Attacks, Malware, Phishing, Third-Wave AI / By

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

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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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Harnessing the Power of Advanced AI to Optimize Security

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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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Understanding the Joe Biden Executive Order on AI and Enhancing Cybersecurity: Key Takeaways and Recommendations

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On October 30, 2023, the White House issued an Executive Order promoting safe, secure, and trustworthy artificial intelligence (AI) deployment. This Executive Order recognizes the global challenges and opportunities presented by AI and emphasizes the need for collaboration, standards development, and responsible government use for national security.

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Top 5 Takeaways from the CISA 2023-2025 Strategic Plan That the Cybersecurity Community Should Know About

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CISA identifies goals for the strategy as spearheading “the national effort to ensure the defense and resilience of cyberspace,” helping partners protect critical infrastructure, and supporting stronger “whole-of-nation operational collaboration and information sharing.” The strategy also outlines internal CISA goals focused on unification within the agency.

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The Role of Artificial Intelligence and Machine Learning in Ransomware Protection: How enterprises Can Leverage the Latest Technologies to Protect Themselves

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Discover the role of Artificial Intelligence and Machine Learning in protecting against ransomware attacks. Learn how these technologies can be used to detect and prevent attacks, and how they can be leveraged by enterprises to improve their cybersecurity posture. Stay up-to-date on the latest developments in AI and ML to protect your organization from malware and ransomware.

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Understanding the Evolution and Impact of AI on Cybersecurity

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MixMode’s unsupervised, third-wave AI computes patterns of interaction over many different timescales, contrasting it over the next 5-minute interval with what was seen previously. Should patterns deviate, the platform performs an assessment of the security risk implied in that deviation and presents it to the user.

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Why The Future of Cybersecurity Needs Both Humans and AI Working Together

Blog, Context-Aware AI, Network Detection and Response, Network Security, Network Traffic Analysis, Predictive AI, Self-Supervised AI, SOC, Threat Detection, Unsupervised AI, Zero Day Attacks / By

A recent WhiteHat Security survey revealed that more than 70 percent of respondents cited AI-based tools as contributing to more efficiency. More than 55 percent of mundane tasks have been replaced by AI, freeing up analysts for other departmental tasks.

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Not All Artificial intelligence is created Equal

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Throughout the tech community, “artificial intelligence” has become a blanket term often used to describe any computing process that requires little human input. Tasks like routine database functions, scheduled system scans, and software that adds automation to repetitive actions are regularly referred to as AI.  In truth, AI can play a part in these processes,

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IDC Report: MixMode – An Unsupervised AI-Driven Network Traffic Analysis Platform

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IDC, the premier global market intelligence firm, recently released a vendor report on MixMode’s Next-Generation AI Powered network traffic analysis platform. Ritu Jyoti, Industry AI and Automation Analyst wrote the profile. In it, she  examines how MixMode’s AI-enabled, multistream security platform empowers security teams to solve the information overload problem by combining and correlating data

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