Protect Your File Data from Attack with AI

Threat Control FAQs

• How do modern file data systems move beyond traditional, reactive security models to proactively stop ransomware and data exfiltration?

  Modern file systems like Panzura CloudFS shift to a predictive security model by using AI-powered behavioral analytics. This enables them to learn normal user activity and proactively identify and neutralize threats like ransomware and data exfiltration in real time, often before they escalate into business disruptions.
  

• What is behavioral fingerprinting, and how does it help a file data platform detect unknown threats?

  Behavioral fingerprinting is a method where an AI-powered file system creates a unique profile of a user's typical file activities. The Threat Control engine in Panzura CloudFS uses this baseline to instantly detect subtle, but potentially problematic, deviations that may signal a new or unknown threat without relying on traditional signatures.
  

• How can a file system address "alert fatigue" for IT teams while still providing reliable data protection?

  The Panzura CloudFS Threat Control feature addresses alert fatigue by providing a "zero-touch" approach that focuses on detecting specific anomalies, such as mass deletions or data exfiltration. This proactive, behavioral-based approach significantly reduces false positives and automates responses, minimizing the need for constant manual intervention.

• How does can a file data platform's security architecture protect file data without compromising performance?

  Panzura CloudFS has a patent-pending two-tiered security architecture that centralizes initial monitoring to offload the computational burden. A lightweight agent performs detailed inspection only when a potential threat is flagged, ensuring data confidentiality and maintaining performance without resource-intensive client-side scanning.
  

• What is the role of immutable data and snapshots in a "defense in depth" cybersecurity strategy for file data management?

  Immutability and snapshots serve as a final, critical layer of defense in the Panzura CloudFS file system. This architecture ensures that even if a threat bypasses initial detection, attackers cannot destroy recovery points, which guarantees data is secure and enables a rapid recovery.

• How can a file data system use AI to automate threat response and prevent an incident from becoming a major business disruption?

  Panzura CloudFS uses advanced ML to automate responses to high-severity threats, such as instantly logging anomalies, notifying administrators, and disabling compromised accounts. The platform's tiered automated response framework eliminates the human delay that can cost millions, preventing an incident from escalating.

• How can an enterprise-grade file system help an organization reduce its total cost of ownership (TCO) while enhancing security?

  Panzura CloudFS helps reduce TCO by consolidating disparate file management and security functions into a single platform, eliminating data and infrastructure sprawl. Its global file system architecture with granular deduplication and compression significantly reduces the data footprint, leading to lower cloud storage and licensing fees.