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?

Download Executive Summary – State of AI in Cybersecurity 2024

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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State of AI in Cybersecurity 2024

State of AI in Cybersecurity Report 2024 Examine how AI is changing the nature of cybersecurity for enterprises Download Report Watch On-Demand Webinar 🖥️ The intersection of artificial intelligence (AI) and cybersecurity has ushered in a new era of both promise and peril. As organizations increasingly rely on AI to bolster their cyber defenses, malicious …

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

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.

Gartner Security & Risk Management Summit 2023 Recap

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.

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

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.

RAVENii Uses MixMode Cloud Detection for AWS to Stop Insider Attack

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

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.

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

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

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.

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

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: