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
AI-driven threat detection and response solutions can significantly enhance the defense against ransomware attacks. These solutions provide advanced capabilities for detecting, analyzing, and responding to ransomware attacks.
“Zero-day Summer” refers to the period during summertime when cybercriminals take advantage of the vulnerabilities in software, applications, and computer systems that remain undetected and unpatched by security teams.
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.
Municipalities, in particular, are increasingly being targeted by ransomware attackers. A recent report showed that ransomware attacks on local governments increased by 70% for 34-58% of those surveyed, and that those attacks were more expensive than ever, with five- and six-digit ransom demands becoming the norm.
Industry watchers are reporting a noteworthy uptick in ransomware attacks reported in February 2023.
A new mass ransomware attack is making headlines. As the Washington Post reports in a recent article, “The latest mass ransomware attack has been unfolding for nearly two months,” major U.S. corporations have fallen victim to an attack that may have origins dating back to late January.
The hits just keep on coming in the world of headline-grabbing data breaches. Threat actors kept busy in 2022 and right on into the new year, with several notable data breaches already making news in 2023.
Stay protected from the rising threat of supply chain cyber attacks and ransomware attacks. Learn how to identify and assess the risks associated with third-party vendors and suppliers, and discover practical steps for implementing security controls, incident response plans, and employee education to protect your business.
Ransomware incidents have increased in frequency over the past several years, to the point where this method has become the weapon of choice for many bad actors, who can now launch attacks through ransomware service providers that resemble legitimate technology outfits.
Discover the role of Artificial Intelligence and Machine Learning in protecting against ransomware attacks. Learn how these technologies can be used to detect and prevent attacks, and how they can be leveraged by enterprises to improve their cybersecurity posture. Stay up-to-date on the latest developments in AI and ML to protect your organization from malware and ransomware.
Well over half of global organizations — 66% — were hit with ransomware attacks in 2021, according to a new independent study. In a sign that we may be seeing a ramp up to even more widespread damage from these sneak attacks, it’s a 78% increase over the prior year.
Ransomware attackers often find government networks to be lucrative sitting targets that are often largely left unprotected against modern threats. As CNN reports, state and local governments tend to lack enough money and personnel to effectively mitigate these threats.
Ransomware attacks launched against healthcare providers are on the rise as 2021 draws to a close. The HHS Office for Civil Rights’ HIPAA Breach Reporting Tool points to several high-impact ransomware attacks related to the healthcare industry.
Ransomware attackers aren’t always after the biggest fish. In fact, so-called “mid game hunting” — as opposed to “big game” hunting — where attackers identify smaller targets that are less likely to trigger a legal or governmental response, appears to be on the rise.
Not long ago, the concept of killware was the stuff of futuristic, doomsday movie fare. The idea that hackers could breach systems related to basic public infrastructure and health services to put people’s very lives at risk seemed scary, but far-fetched. Unfortunately, that dystopian future has, at least to some degree, arrived.
Over the past few years, ransomware attacks have become more sophisticated, morphing from spray-and-pray phishing blasts to highly targeted and extremely damaging network-wide infections that can cause days or weeks of downtime for a whole organization.
Organizations are exclusively depending on selective information forwarded to the SIEM. The information that inevitably exists outside the system of record — information relevant for zero-day attacks — is ignored.
In our newest whitepaper, “Why Traditional Cybersecurity Tools Cannot Defend Against Zero-Day and No Signature Attacks,” we dive into how traditional cybersecurity tools work, why this fundamentally limits them from being able to detect zero-day or previously unknown attacks, why the industry standard for breach detection is around six to eight months and how modern, contextually-aware AI overcomes the limitations of traditional cybersecurity solutions.
A number of recent high profile ransomware attacks on U.S. hospitals have demonstrated the urgency for organizations, municipalities, and critical services to take a proactive approach to protecting networks with a predictive AI solution.
At MixMode our one algorithm is capable of catching any anomaly that may appear on the network. In contrast, other security programs rely on a reactive method of patching and constantly adding to their algorithms each time a hack occurs so that the network learns what to look out for.