The world’s first Dynamic Threat Detection Platform
Learn about MixMode’s Dynamic Threat Detection Solutions
MixMode’s use cases for your cyber initiatives
How customers in different industries utilize MixMode
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.
Today we announce the MixMode Paradigm Partner Program, giving the world’s top Value Added Resellers (VARs), Managed Service Providers (MSP), Global Systems Integrators (GSIs) and Distributors, access to an advanced cybersecurity platform for real-time threat detection and response.
MixMode, a leading provider of network detection and response (NDR) solutions, has been highlighted as a key vendor in Gartner’s 2023 Hype Cycle for Network Detection and Response. This is a significant achievement for MixMode, as it recognizes the company’s innovative approach to NDR and its potential to help organizations protect themselves from cyberattacks.
Combating alert fatigue is a huge challenge faced by SOC analysts and security companies alike. The overwhelming flood of rules-based alerts and notifications can often lead to missed critical incidents and increased false positives.
As enterprises rapidly migrate critical infrastructure and data to the cloud, they lose visibility and control. A recent report shows 80% of organizations encountered a significant security incident related to their cloud infrastructure within the past year.
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.
Firewalls have been the go-to solution for years, but as technology advances, so do the tactics of malicious actors. A recent security flaw discovered in Fortinet firewalls has reignited the debate about whether firewalls alone are sufficient to protect your infrastructure. Spoiler alert: they’re not!
The financial services industry handles vast amounts of highly sensitive financial information, including customer data, transaction records, and intellectual property, making them a prime target for cyber attacks.
We discuss a real-life example of a zero-day exploit, focusing on the MOVEit Transfer Software, and how MixMode can detect and mitigate such threats before they become widespread.
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.
The Biden-Harris Administration has released the National Cybersecurity Strategy Implementation Plan (NCSIP), outlining its commitment to improving cybersecurity in America. The plan focuses on two primary shifts: allocating more responsibility for mitigating cyber risk to capable entities in the public and private sectors and increasing incentives for long-term investments in cybersecurity.
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.
Relying solely on legacy Security Information and Event Management (SIEM) technology is no longer sufficient to protect enterprise organizations from the rising amount of modern, ai-developed, sophisticated cyberattacks. In our newest eBook, we examine the limitations of SIEMs and emphasize the need for an AI-driven dynamic threat detection and response platform.
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.
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.
As organizations increasingly operate within a hybrid on-premises and cloud environment, the need for advanced threat detection mechanisms becomes vital. Today I explore how The MixMode Platform leverages AWS CloudTrail and VPC flow logs to detect threats and safeguard your AWS environment.
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.
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.