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

AI, artificial intelligence, Blog, Machine Learning, Self-Supervised AI, Third-Wave AI, Uncategorized / By

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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Download Executive Summary – State of AI in Cybersecurity 2024

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State of AI in Cybersecurity Report 2024 Executive Summary In an era of escalating cyber threats, organizations are increasingly turning to artificial intelligence (AI) to bolster their security defenses. MixMode’s inaugural State of AI in Cybersecurity Report 2024 research delves into how organizations are leveraging AI to enhance their security posture and effectively detect and

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MixMode Invited to Participate on ‘US Blue Team’ in Annual International Cybersecurity Exercise

Blog, Cyber Threats, Cybersecurity News, Federal Cybersecurity, MixMode News, MixMode Team, National Cybersecurity Strategy, Third-Wave AI, Uncategorized / By

The constant threats posed by hackers, state-sponsored cyber attacks, and malicious actors have prompted the creation of cutting-edge strategies to fortify our nation’s cyber defenses. One such response to this growing concern comes in the form of an annual large-scale international cybersecurity exercise.

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Gartner Security & Risk Management Summit 2023 Recap

AI, Cloud Security, Cybersecurity News, Gartner, generative AI, SIEM, Third-Wave AI, Uncategorized / By

One of the key predictions is that by 2027, 50% of chief information security officers (CISOs) will adopt human-centric design practices in their cybersecurity programs to minimize operational friction and maximize control adoption. This approach focuses on designing security controls around individuals rather than technology or threats. It recognizes that employees play a crucial role in cybersecurity and aims to reduce the likelihood of risky behavior.

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Aligning an Organization’s Attack Surface to Detection Surface is Key to Adversary Defense in Today’s Cloud Era

Anomoly Detection, AWS, Azure, Blog, Cloud Security, Cloudtrail, Detection Surface, Flow Logs, Log Data, multi-cloud, Network Detection and Response, Third-Wave AI, Threat Detection, Uncategorized / By

With the Cloud Era, the IT asset estate has expanded, and there is a diverse set of attack surfaces to defend. The term “attack surface” describes the growing IT asset estate, but there is no parallel term to describe where we can detect or respond to attacker activity.

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RAVENii Uses MixMode Cloud Detection for AWS to Stop Insider Attack

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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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Latest Mass Ransomware Attack May Mark New, Slow-Rolling Approach By Threat Actors

Cyber Threats, Ransomware, Uncategorized / By

A new mass ransomware attack is making headlines. As the Washington Post reports in a recent article, “The latest mass ransomware attack has been unfolding for nearly two months,” major U.S. corporations have fallen victim to an attack that may have origins dating back to late January.

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MixMode Adds to Sales Leadership with Addition of Todd DeBell as VP, Channel

Blog, Cybersecurity News, MixMode News, Uncategorized / By

MixMode Inc., the leader in AI-driven network security, today announced the addition of Todd DeBell as VP, Channel Sales. DeBell will be responsible for continuing to expand MixMode’s channel sales strategy to accelerate MixMode’s triple-digit revenue growth of 2021 and 2022.

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451 Research Finds Self-Learning Technology to Address Cybersecurity Blind Spots and Reduce Analyst Burnout

Blog, Cyber Threats, Cybersecurity News, MixMode News, Network Detection and Response, Network Security, Predictive AI, Rules-Based Cybersecurity, Self-Supervised AI, SIEM, SOC, Third-Wave AI, Threat Detection, Uncategorized, Unsupervised AI, Zero Day Attacks / By

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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Webinar: The Failed Promises of SIEM – What’s Next For Cybersecurity

Blog, Self-Supervised AI, SIEM, SOC, Uncategorized, Webinar / By

The Security Operations Center (SOC) of today is fundamentally flawed. Currently enterprise cybersecurity spend is higher than ever, but despite multi-million dollar cybersecurity investments, organizations remain vulnerable to attacks. One of the major reasons for this is legacy SIEM deployments. More spend does not equal more security.

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Whitepaper: Self-Supervised Learning – AI For Complex Network Security

Blog, Context-Aware AI, Network Detection and Response, Network Security, Network Traffic Analysis, Self-Supervised AI, Uncategorized, Unsupervised AI, Whitepaper / By

Artificial Intelligence – or AI – has become a buzzword since it emerged in the 1950s. However, all AI systems are not created equal. In our white paper, “Self-Supervised Learning – AI For Complex Network Security,” Dr. Peter Stephenson explains the different “waves” of artificial intelligence. He uses the DARPA definitions for each of these

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New Whitepaper: How Predictive AI is Disrupting the Cybersecurity Industry

Blog, MixMode News, Network Baselines, Network Security, Network Traffic Analysis, Predictive AI, Threat Detection, Uncategorized, Unsupervised AI, Whitepaper / By

Our newest whitepaper, “How Predictive AI is Disrupting the Cybersecurity Industry,” evaluates several common SecOps issues around Network Traffic Analysis, explaining why typical solutions are wholly ineffective and represent sunk costs versus added value. We examine how self-supervised learning AI is poised to overcome the SecOps challenges of protecting today’s distributed networks.

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The Many Ways Your Employees Can Get Hacked While Working From Home and How to Respond

Blog, Network Security, Network Traffic Analysis, Threat Detection, Uncategorized, Unsupervised AI, Zero Day Attacks / By

Although it is not surprising at all that hackers are taking advantage of the global pandemic —phishing threat reports are always highest when there is some natural disaster happening— we have never before had such an unsafe environment to protect. Here are a few of the most popular malicious acts:

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New Video: Does MixMode work in the cloud, on premise, or in hybrid environments?

Blog, MixMode News, Network Security, Network Traffic Analysis, Product Updates, Uncategorized / By

As enterprises establish their custom hybrid environments, many security departments are realizing that while they have many sophisticated tools on the on-premise corporate traffic side, they don’t have the same level of visibility of their cloud traffic.

New Video: Does MixMode work in the cloud, on premise, or in hybrid environments? Read More →