Cut Ransomware Risk

In 2017 alone, over 5 PB of Hadoop and NoSQL data were compromised by Ransomware attacks.

Rebuilding this data is an enormous, painstaking, and glacial process. Can you afford that downtime?

If your production data is under attack, Imanis Data ThreatSenseTM can help you to quickly and efficiently detect the attack and recover data to an alternative system to minimize any service disruption.

See It In Action

Preventing Ransomware Attacks Can Be Difficult

Having strict security protocols in place can help you prevent Ransomware attacks, but ensuring all your employees at an individual level are doing the same is challenging. Sometimes all it takes is one wrong click when dealing with an unknown email and your business could be at risk. Early detection can be a key line of Ransomware defense.

Imanis Data ThreatSense leverages machine learning and anomaly detection to identify potential Ransomware attacks early so you can take rapid defensive action.

Determine Patterns

ThreatSense monitors changes in your data patterns to help detect abnormal data behaviors, potentially indicating a Ransomware attack.

Predictive Models

Machine learning is applied to these patterns to build predictive models that identify potential threats.

Proactive Notifications

When data deviates from predictive models, the system can flag possible threats or anomalous data losses for further investigation.

64 countries were hit with the WannaCry Ransomware attack in 2017
$2.4M in estimated ransom payments were made by a single organization
638M Ransomware attacks were attempted in 2016
Through Reltio data-driven applications business users access and expect constant availability of this data. Imanis Data's backup, recovery and test data management solution is an ideal fit for our rapidly growing DataStax Enterprise environment, and their recent security and AWS S3 enhancements are critical for our customers, particularly in highly regulatory environments.

Zoltan Gombosi

Vice President, Engineering

The rapid rise of big data applications is changing how companies protect and manage the availability of data throughout the application life cycle -- concurrently we are acutely more aware of the tremendous business value that all data holds.

Nik Rouda

Senior Analyst, Enterprise Strategy Group

If you thought the need for backup somehow evaporated with the advent of Hadoop, its probably because you don't really understand backup.

Robin Bloor

Co-Founder & Chief Analyst

Business applications built on top of modern data platforms such as MongoDB and Cassandra are just as exposed to the threat of ransomware and critical data loss as traditional applications. Yet, many IT managers are just beginning to look at data protection requirements for these applications. IT organizations need to consider data protection tools designed specifically for these environments, such as Imanis Data, because some of the underlying architectural issues are different from traditional data types.

Phil Goodwin

Research Director

Speed and efficiency of recovery is vitally important in helping us achieve our business goals. We’ve found that Imanis Data 3.0 is the only platform that can easily scale with our growing business and data needs. Its rapid backup and recovery capabilities have reduced our potential downtime to a minimum and have helped our business run more efficiently.

Rodrigo Balan

Network Operations Manager

When we moved to a Big Data architecture, we knew that application and data recovery was a fundamental requirement. Where most companies fall short, Imanis Data provides that at scale.

Kersi Tavadia


Key Line of Defense

As technology gets increasingly complex, security threats become more frequent and difficult to thwart. While prevention of a Ransomware attack is the first priority, ThreatSense can act as a key line of your defense.


Intelligent threat-sensing backup architecture looks for patterns of data movement and churn, and builds custom predictive models to immediately flag an event as a possible threat or intrusion.


Multiple point-in-time copies of data along with underlying metadata, distributed across geographies, is critical to protecting against data loss. A distributed scale-out architecture allows you to back up petabytes of data quickly, seamlessly, and with ease.


Minimize any impact on business operations and rapidly recover after an attack. Quickly and easily locate the objects for recovery using our Google-like catalog, Imanis Data FastFind.

$1M Reasons to Wanna Cry

The WannaCry Ransomware attacks are well known for how widespread they were, attacking people from over 150 countries, demanding $300 from each victim. However, another Ransomware attack proved to be much more devastating.

In 2017, South Korean web provider Nayana announced it had become a victim of a Ransomware attack identified as Erebus that locked up more than 3,400 websites. The hackers behind the attack demanded over $1.6 million in ransom to free the affected servers, and in the end Nayana ended up paying the largest ransomware demand ever, settling with the hackers for $1M.

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