AI Cybersecurity 2

Forbes Technology Council: Why Large Language Models (LLMs) Alone Won’t Save Cybersecurity

AI, Blog, Cybersecurity News, Forbes Technology Council, generative AI, Large Language Models (LLM), MixMode News, Self-Supervised AI, Unsupervised AI / By Matt Shea

The star of the moment is Large Language Models (aka LLMs), the foundational model that powers ChatGPT. There are plenty of documented examples of truly impressive feats built on this technology: writing reports or outputting code in seconds. At its core, LLMs basically ingest A LOT of text (e.g., think Internet) as a corpus of training data and rely on human feedback in a type of supervised training called reinforcement learning.

Unleashing the Power of Self-Supervised AI: Insights from 451 Research Report on MixMode’s Dynamic Threat Detection and Response

AI, Blog, generative AI, Self-Supervised AI, Threat Detection / By Christian Wiens

In an era where cyber threats are becoming increasingly sophisticated, it is crucial for organizations to stay ahead of attacks. By leveraging the power of self-supervised AI, MixMode offers a game-changing solution that can revolutionize threat detection and response capabilities.

Verizon’s Annual Data Breach Incident Report (DBIR) Shines Spotlight on Ransomware Trends & Insider Threats

Blog, Insider Threats, Ransomware / By Christian Wiens

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.

Top 5 Takeaways from the CISA 2023-2025 Strategic Plan That the Cybersecurity Community Should Know About

AI, Blog, CISA, infrastructure, Third-Wave AI / By Christian Wiens

CISA identifies goals for the strategy as spearheading “the national effort to ensure the defense and resilience of cyberspace,” helping partners protect critical infrastructure, and supporting stronger “whole-of-nation operational collaboration and information sharing.” The strategy also outlines internal CISA goals focused on unification within the agency.

Utilizing Generative AI Effectively in Cybersecurity

Adversarial AI, Blog, generative AI, Third-Wave AI / By Joe Ariganello

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.

How to Use The MixMode Platform to Discover NTLM Authentication and Validate Windows SMB Signing Requirements

Blog, NTLM, SMB1, Third-Wave AI / By Josh Snow

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.

AI Offers Potential to Enhance The U.S. Department of Homeland Security

AI, Blog, Federal Cybersecurity, generative AI, Government, Homeland Security, infrastructure, Self-Supervised AI, Third-Wave AI / By Joe Ariganello

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.

MixMode’s Key Takeaways from the 2023 Gartner® Emerging Tech: Security— Improve Threat Detection and Response With AI-Based Behavioral Indications Report

AI, Blog, Gartner, Third-Wave AI, Threat Detection / By Joe Ariganello

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.

Evolving Role of the CISO: From IT Security to Business Resilience

artificial intelligence, Blog, CIO, CISO, Municipalities, Third-Wave AI / By Geoffrey Coulehan

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.

Delivering Generative AI to Cybersecurity for Over 3 Years

Adversarial AI, AI, Blog, Context-Aware AI, generative AI, Self-Supervised AI, Third-Wave AI / By Matt Shea

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.

If it’s AI, it’s probably written in PowerPoint…

AI, Blog, Context-Aware AI, Self-Supervised AI, Third-Wave AI, Unsupervised AI / By Laurie Scholl

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.

A Proven Strategy For Defending Against Zero-Day Exploits And Attacks — Updated for 2023

Blog, Unsupervised AI, Zero Day Attacks / By Christian Wiens

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.

Getting Ahead of the Adversary with Third-Wave AI

Adversarial AI, AI, Blog, Context-Aware AI, Self-Supervised AI, Third-Wave AI, Unsupervised AI / By Christian Wiens

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.

As Enterprises Embrace 5G, AI-Enhanced Cybersecurity Emerges as Top Security Priority

5G, Blog, Cybersecurity News, Data Overload, Predictive AI, Self-Supervised AI, Third-Wave AI / By Christian Wiens

The much-anticipated fifth generation (5G) of broadband cellular technology has arrived, ushering in unprecedented network speed and connectivity. The tech is also spurring innovation into new tech solutions to meet an ever-growing appetite for instant, reliable connectivity, often, faster than most enterprise Cybersecurity teams can handle. If there was ever a time for AI to deliver on the promises made by Cybersecurity platform vendors, it’s now.

Guide: How to Choose an AI-Based Cybersecurity Platform

Blog, Context-Aware AI, Network Security, Predictive AI, Self-Supervised AI, SOC, Unsupervised AI, Whitepaper / By Christian Wiens

Most cybersecurity vendors today tout some form of “Artificial Intelligence” as an underlying mechanism for the differentiation of their product among the market. But if everyone is saying they have AI, and everyone is also claiming theirs is the “best,” how can they all be telling the truth?

Why The Future of Cybersecurity Needs Both Humans and AI Working Together

Blog, Context-Aware AI, Network Detection and Response, Network Security, Network Traffic Analysis, Predictive AI, Self-Supervised AI, SOC, Threat Detection, Unsupervised AI, Zero Day Attacks / By Ana Mezic

A recent WhiteHat Security survey revealed that more than 70 percent of respondents cited AI-based tools as contributing to more efficiency. More than 55 percent of mundane tasks have been replaced by AI, freeing up analysts for other departmental tasks.

CTO Perspective: Machines Protecting Themselves – The Future of Cybersecurity

Adversarial AI, Blog, Context-Aware AI, Unsupervised AI, Zero Day Attacks / By Ana Mezic

We interviewed MixMode CTO Dr. Igor Mezic to better understand how machines should be protecting themselves with AI, what roles humans play, and how the DoD and the private sector both benefit from rapid innovation in cybersecurity.

IDC Report: MixMode – An Unsupervised AI-Driven Network Traffic Analysis Platform

Blog, MixMode News / By Christian Wiens

IDC, the premier global market intelligence firm, recently released a vendor report on MixMode’s Next-Generation AI Powered network traffic analysis platform. Ritu Jyoti, Industry AI and Automation Analyst wrote the profile. In it, she examines how MixMode’s AI-enabled, multistream security platform empowers security teams to solve the information overload problem by combining and correlating data …

IDC Report: MixMode – An Unsupervised AI-Driven Network Traffic Analysis Platform Read More →

Hacking the Hackers: Adversarial AI and How to Fight It

Blog, Threat Detection, Unsupervised AI, Zero Day Attacks / By Ana Mezic

Advances in Artificial Intelligence (AI) have led to smarter, more robust network security platforms that are quickly replacing legacy security solutions.

Our Top 5 Cybersecurity Insights from 2019

Alert Reduction, Blog, Case Study, Network Baselines, Network Detection and Response, Threat Detection, Unsupervised AI, Whitepaper, Zero Day Attacks / By Christian Wiens

This year on the MixMode blog, we have covered headline stories, analyzed every pain point within network security, and shared what we believe to be some of the most innovative solutions to help you analyze network traffic, surface threats and anomalies, and stop attacks using autonomous AI.

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