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.
Top cybersecurity best practices for modern organizations’ network security, data protection, and bottom line safeguarding.
Last week The Baltimore Sun reported that Baltimore City Government computers were infected for a second time in just over a year with a certain type of ransomware, RobbinHood, in which hackers lock up files using encryption so users can’t access them. The bad actors then demand payment to provide the cyber keys to unlock the files, …
