Ransomware attacks continue to escalate in scale and sophistication, often spreading silently through networks before detonating and encrypting critical systems. Legacy detection tools that rely on signatures or preconfigured rules frequently miss these early warning signs, leaving organizations to discover the attack only after business operations have been disrupted and sensitive data has been compromised. The cost of recovery—including downtime, ransom payments, and reputational damage—can be catastrophic.
MixMode provides a proactive layer of defense against ransomware by leveraging self-learning AI to build an intelligent, evolving baseline of normal network activity. This allows the platform to detect deviations and abnormal behaviors in real time—often at the earliest stages of an attack. By continuously monitoring for signs of ransomware activity before encryption begins, MixMode enables organizations to respond quickly, contain threats, and prevent devastating business and financial impacts.
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