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One of the key areas that the Gartner report highlights is AI Enhanced Security Operations. The research observes that most AI development in security products so far has focused on detecting threats, but there is increasing potential to use AI to improve security operations and incident response.
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.
Security leaders want to solve problems identifying and understanding anomalies or account access behaviors by correlating anomalous behaviors of specific accounts with other parameters like geography or ingress and egress points, but few rules-based Cybersecurity tools have the ability to do that without a great deal of manual data massaging and manipulating.
A briefing by the FBI’s Counterintelligence Division highlights the massive potential of artificial intelligence (AI) for advancing cybersecurity and the looming risks of adversaries weaponizing AI for attacks.
New research from Verizon reveals that ransomware is responsible for a sizable percentage of all recorded security incidents. Despite the alarming statistics raised in the report, the tech giant warns, we’re likely to see continued growth in the number of ransomware attacks against organizations.
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.
MixMode Sales Engineer, Josh Snow, explores a real-time threat detection use case involving The MixMode Platform and its ability to identify PowerDrop, a malicious Powershell script that has been specifically targeting the aerospace industry and shows how MixMode’s Third Wave AI detects PowerDrop and gain insights into what this threat entails.
Generative AI tools have the potential to enhance various aspects of cybersecurity, from data augmentation and malware detection to anomaly detection and security testing. By harnessing the power of Generative AI, organizations can strengthen their defenses, improve threat detection capabilities, and enhance their overall cybersecurity posture.
NTLM (New Technology Land Manager) has been a protocol used for over 20 years, but it suffers from weak cryptography and vulnerabilities like NTLM relay attacks. In this video, we explore the implications of this change, the importance of identifying NTLM in your infrastructure, and how MixMode can help in this process.
The establishment of the AI Task Force by the DHS demonstrates a commitment to harnessing the potential of AI in addressing emerging threats and safeguarding national security. By leveraging AI technology in various areas, such as supply chain integrity, countering drug trafficking, combating online child exploitation, and securing critical infrastructure, the DHS aims to stay ahead of evolving risks and protect the nation more effectively.
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.