#datadiscovery

"You cannot protect what you cannot see."

When the DPDP Act 2023 passed in India, it killed the era of passive data hoarding. Companies are now legally accountable for every single piece of personal data they hold.

But there’s a massive problem: Data Sprawl.

Most companies have no idea where all their data actually lives. Sure, you know about your main servers. But what about the staging environments? The third-party apps? The random spreadsheets your marketing team downloaded last Tuesday? That is "Shadow Data," and it is a ticking time bomb for regulatory fines (up to ₹250 crore).

The Fix: Automated Data Discovery Data discovery is the mandatory first step to compliance. It’s the process of using software to automatically scan your entire digital estate—finding, tagging, and mapping every piece of personal data.

Without it, your consent management breaks.

Without it, you can't honor user deletion requests.

Without it, you can't calculate the blast radius of a cyber breach.

Manual spreadsheets are obsolete. Modern businesses use compliance automation platforms like RuleExpert to constantly crawl their networks and keep a live, interactive map of their data flows.

Knovos, a leading technology company, released the latest version of its flagship eDiscovery technology, ‘eZReview’. In the release, the company introduced chat or Instant Messaging (IM) data discovery support for eDiscovery.

With this recent addition, eZReview has the capability to process data collected from Microsoft Teams and Slack applications. Once processed, Attorneys can begin review from the same platform.

Knovos engineers have developed an IM Viewer that delivers a similar experience for reviewers to custodians’ native chat applications. Reviewers can easily get the context of conversations with its new support for non-text reactions like emojis, reactions, and replies and access related content like embedded images, documents, and links. In the IM Viewer, all participants are auto-identified and filterable alongside a dynamic timeline graph that helps attorneys visualize start/end dates and spikes in daily conversation activity.