You’ve probably heard the term ‘scanning’ used in the backup and recovery space.
The chances are, you’re hearing it more and more as storage vendors increasingly tout their data resiliency capabilities.
But not all scanning is created equal. Predatar elevates scanning to the next level to help you find and eliminate dormant ransomware and viruses that traditional methods might overlook.
Traditional Scanning in Backup Systems
Today, the term ‘scanning’ is often overused—and even misused—in the context of backup and storage. Typically, storage vendors use the term to refer to searching data for anomalies using Shannon entropy.
If you are not familiar with Shannon entropy, you can learn more about it in our previous blog.
In a nutshell, Shannon entropy is a relatively basic mathematical equation used to spot random or unusual behaviour in data.
This method is a good starting point for spotting immediate anomalies but falls short of providing deeper insights or predicting future threats.
Predatar’s Advanced Scanning Approach
Predatar adopts a different perspective, viewing scanning as a comprehensive process using several tools and techniques to interrogate data in multiple ways in an isolated CleanRoom environment.
This multi-stage process goes way beyond the traditional scanning approach to identify and neutralize threats, using techniques including:
- File signature scanning.
- Machine learning for encryption detection.
- In-memory analysis for uncovering fileless malware.
- Behavioral analysis to combat scripts, injections, and ransomware.
- EDR to find and remove known malware variants.
Comparative Analysis
Threat Detection:
- Traditional: Focuses on detecting data unpredictability, and missing dormant threats.
- Predatar: Uses a multifaceted approach to uncover a wide range of threats, including dormant ones.
Predictive Capabilities and Recovery:
- Traditional: Offers no predictive insights and is limited to analyzing the current state.
- Predatar: Predicts anomalies with Predatar Signal and provides a comprehensive recovery process in the CleanRoom.
Advanced Techniques:
- Traditional: Lacks sophisticated malware detection methods.
- Predatar: Incorporates a variety of advanced techniques for proactive threat detection and mitigation.
Conclusion
The traditional method of scanning in backup systems, mainly tied to Shannon entropy, is inadequate for today’s complex cybersecurity challenges.
Predatar’s approach includes anomaly detection and encompasses recovery and advanced threat analysis, offering a more thorough and proactive solution for safeguarding against sophisticated cyber threats.
What next?
Predatar empowers businesses to shrink their recovery gap and gives them confidence in their ability to mount a fast and effective recovery.
Our Machine Learning-powered platform automates daily recovery testing, identifying issues and malware infiltration within your storage environment.
Don’t let the recovery gap become your downfall. Take control, secure your data, and embrace recovery assurance with Predatar.
Download our free e-book to learn more and bridge the gap to complete confidence.
