No more blindspots
A platform with the right pricing, that wants you to ingest everything you need, leave nothing behind.
Region Selector AWS-AMERICAS-US / AWS-APAC-MUMBAI
Start your threat detection journey, right here.
Start your threat detection journey, right here.
It's a SIEM, with a library of detection workbooks.
It's a SIEM, with a library of detection workbooks.
Detect unknown threats with outlier detection and UEBA.
Detect unknown threats with outlier detection and UEBA.
Pricing displayed in USD. Yearly prices are displayed in monthly formats for comparison.
Ordering will be in slabs of daily volume i.e. GB / Day contact sales for a quote.
SHORT TERM LOG RETENTION HAS A PROBLEM
Here are three reasons why you need to invest in a long term event retention. Cost of retention used to be factor in long term retention, but not anymore DNIF HYPERCLOUD gives you 365 days.
Frequently Asked Questions
Hot, warm and cold tiering was created to reduce cost of storage, so older data could be pushed to warm and then to cold tiers, and the penalty for querying older data would either be cost or performance. But why would you need warm and cold when all your data could remain HOT?
An architectural advantage allows DNIF HYPERCLOUD to offer 365 days of hot retention where there is no penalty on running analytics on older datasets. So - it's time, technology has now turned a corner, lets stop worrying about storage tiers.
DNIF HYPERCLOUD pricing is simple, it based on the total log volume or the cumulative value of the raw events collected everyday. Log volume per day can be subscribed to in slabs. The pricing displayed on this page is indicative of the price per GB, for an accurate understanding its best your request a quote.
If you are integrating a popular device or a cloud application / service, chances are we already have an available integration. If the device is generally available but not available out of the box, please go head and log a new service request using the support portal.
In case you are integrating a custom application and need a fresh extractor, you could choose to raise a support request for custom extractor development or build one yourself.
It is not always practical to extract every field from a raw event, so fields required for detecting cybersecurity threats are chosen and extracted. Data points beyond these are available in the raw events but are not faceted.
Schema on Read gives you the opportunity to extract and compute on a field that was not extracted but is available in the raw event. This query parses the raw event in real-time extracts the field and computes on it.
Read more on this unique capability of DNIF HYPERCLOUD.
Yes, All the plans mentioned above include product support. To know more about our support plans and SLAs, refer to our support handbook.