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We have now reached the Third wave of AI: Contextual Reasoning. This revolutionary approach, pioneered by MixMode in cybersecurity, utilizes self-supervised and explainable AI to independently learn and adapt without reliance on rules or training data.
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.
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.
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.
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.
The history of cybersecurity is a tale of constant evolution, marked by the rise and fall of various defense mechanisms in the face of ever-changing threats. Security tools such as antivirus software and firewalls have long been the stalwarts of cyber defense, forming the bedrock of protection for organizations worldwide. While effective in their time, …
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.