The data layer remains insufficiently addressed in the Department of Defense Zero Trust Reference Architecture, leading to cyberattacks targeting sensitive data in all industries.
Insider threats consistently prove to be a significant risk to corporate data, with multiple modes of attack.
Ransomware requires the action of an insider, such as an employee clicking on a phishing email, to infiltrate the environment.
A comprehensive approach to insider threat protection requires real-time detection, isolation, and recovery.
Robust detection strategies include identifying ransomware early, monitoring user behavior with multi-factor analytics, using AI to detect sensitive content, and controlling external storage.
Isolating detected attacks is essential to reducing potential damage, with immediate automated actions being necessary to mitigate further harm.
Seamless recovery after detecting and containing the attack is crucial, with innovative backup systems offering continuous real-time rollbacks and minimal disruption to operations.
The need for robust data protection strategies has never been greater, with the question of corporate data asset theft being a matter of when, not if.
The ability to protect the data layer while being able to notice unusual user behavior is critical to combating insider threats effectively.
A comprehensive and cohesive protection approach that emphasizes real-time detection, isolation, and recovery is necessary to combat insider threats effectively.