Gartner recently released their newest report titled “Emerging Tech: Security – Improve Threat Detection and Response With AI-Based Behavioral Indications” which covers the emergent need for new AI-Based methods of using behavioral patterns to identify threats.
With more and more large organizations relying on technology to conduct business, the need for a skilled CISO has become increasingly important. No longer just overseeing IT security efforts, the CISO is now responsible for a wide range of cyber defenses from data protection to compliance and even physical security.
Although generative models have been in development for some time, ChatGPT’s public release has raised important questions about the nature of these models, their potential impact, and their role in fields like cybersecurity. To understand their significance, Dr. Mezic explores the history and development of AI, distinguishes between the different waves of AI technology, and ultimately the implications for cybersecurity.
When it comes to Cybersecurity and Generative AI, you have to look at what traditionally takes time and investment by expert practitioners. One of the major things SOC analysts have to build and maintain is an alerting framework for their environment.
The main challenge many of the cybersecurity products on the market today struggle to overcome is the difficulty of monitoring multi-cloud environments. Many are only capable of handling pieces of one environment rather than giving an enterprise visibility across all of their environments. This leaves costly gaps in their security posture and significantly increases the likelihood of an attack.
Executive Order 14028, Improving the Nation’s Cybersecurity, directs decisive action to improve the Federal Government’s investigative and remediation capabilities. Specifically, it aims to galvanize public and private efforts to help identify, deter, protect against, detect, and respond to persistent and increasingly sophisticated malicious cyber campaigns.
At MixMode, we will look you in the eye when we explain that we know the marketplace is crowded with failed promises of cyber platforms that claim to be “AI-based, self-learning, offering real-time detection and prevention at scale.
MixMode’s Chief Strategy Officer, Matt Shea was invited to provide the opening keynote address, setting the stage for discussions on how businesses and municipalities can better protect their networks and environments from cyber attacks.
In this on-demand audio webinar, featuring IDC Group Vice President Ritu Jyoti and MixMode Chief Scientist and CTO Dr. Igor Mezic, you’ll learn about cyber AI that’s built for the speed and scale of the modern enterprise.
Zero-day attacks are considered the number one cybersecurity threat to company networks large and small. Understand what they are, why it’s so hard to detect them, and how artificial intelligence (AI) is helping to solve this modern problem.
In a world where bad actors are focused on building sophisticated AI capable of side-stepping traditional Cybersecurity platforms, it has become critically important to onboard tools that work in real-time, are exceedingly precise, and can detect an incident before it happens.
In a world where bad actors are capable of building sophisticated AI capable of sidestepping traditional cybersecurity platforms, it has become critically important to onboard tools that work in real-time, are deadly accurate, and can predict an incident before it happens.
Shannon Lawson, CISO for the City of Phoenix, and Geoffrey Coulehan, Head of Sales for MixMode recently joined forces for a fireside chat at the Evanta CISO Summit in Phoenix, AZ. Lawson and Coulehan have been partnering together for almost three years to transform the City’s cybersecurity initiatives and Security Operations Center (SOC).
Hosted by Mark Ehr, Senior Consulting Analyst for 451 Research Advisors and Igor Mezic, Chief Scientist and CTO for MixMode on Tuesday, November 1st at 1pm EST / 10am PST, they will discuss 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.
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.
It’s the open secret no one’s talking about — too many cybersecurity solutions in the marketplace stand no chance of providing comprehensive coverage because they are incapable of handling data arising from all sources. Many available solutions are effectively legacy platforms hiding within fresh marketing packages.
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.
Keeping up with security alerts can be a Herculean task without the right tools on board. Security teams face more than 11,000 alerts per day on average, according to industry analysts — including thousands of false positives triggered by legacy security solutions.
MixMode’s Head of Sales and Alliances, Geoff Coulehan, discusses the data retention cost and challenges that arise when legacy cybersecurity platforms require historical data to be organized in a proprietary format for after-the-fact investigation processes.
Chief Scientist and CTO for MixMode, Igor Mezic, wrote this article for Forbes magazine on the advantages of moving away from a legacy rule-based cybersecurity platform to a third-wave AI platform that can better detect zero-day threats.
