Teleskope Data Protection Platform

What do you like best about the product?

I like Teleskope for its discovery, classification, and flexible deployment features. It helps reduce breach exposure and storage costs, minimizes audit preparation, and provides a clear posture metric for reporting. Remediation is now automatic, so my team can focus on strategic work instead of manually triaging hundreds of alerts. The implementation was quick, taking just one hour, and we saw results immediately. It's unmatched in terms of cost and efficiency for securing platforms like ChatGPT and Slack, and to my knowledge, the only authorized combined DSMP/DLP solution for both, which is a crucial differentiator from other vendors.

What do you dislike about the product?

They didn't have a few very specific connectors but were able to build them in no time.

What problems is the product solving and how is that benefiting you?

Teleskope automates remediation in our data security program, reducing manual triaging. It provides continuous data discovery, classification, and governance, decreasing breach exposure and storage costs. It offers a unified DSMP/DLP solution for ChatGPT and Slack, streamlining costs and efficiency with quick setup and instant results.

What do you like best about the product?

I really like that Teleskope works seamlessly in the background, finding and fixing issues without requiring intensive setup or constant tuning, which makes it really user-friendly. The automatic remediation feature is invaluable, as it handles access revocations, file quarantines, and notifies data owners to prevent repeat mistakes. The policy simulation capability is a game-changer, allowing us to test new rules without disruption. I appreciate the responsive and collaborative Teleskope team who has implemented features based on our feedback, truly feeling like an extension of our security team. The smooth setup process was a 10/10 experience for us.

What do you dislike about the product?

Teleskope was missing a connector we needed (Slack), but the team resolved it shortly after we joined.

What problems is the product solving and how is that benefiting you?

I use Teleskope to automatically clean up and secure sensitive data across our cloud and SaaS tools, saving our small security team 10-15 hours weekly on manual work, letting us log every action, and ensuring leadership knows how data is protected.

What do you like best about the product?

I use Teleskope for automated data classification and remediation, which helps prevent sensitive data from reaching AI tools. I love that it sits at the core of our data security program covering many environments. Now with Teleskope, I get an audit trail and can clearly identify and address gaps with clear actions. Some standout features for me are the classification, continuous scanning, AI search, auto-remediation, and dashboards. Also, the setup experience was great, and the support team was fantastic.

What do you dislike about the product?

So far our experience has been great

What problems is the product solving and how is that benefiting you?

Teleskope secures our data by preventing sensitive information from reaching AI tools, providing audit trails, and offering clear actions for any issues. It gives us visibility and saves time, letting us address security gaps with classification, continuous scanning, and auto-remediation features.

What do you like best about the product?

I love that Teleskope doesn't just identify problems but also fixes them automatically. The classification engine is significantly better than what I've seen before, as it understands context, not just patterns. I appreciate the contextual classification, dashboards, continuous scanning, and flexible deployment. Teleskope has made our experience amazing by automating tasks that previously required us to manually review and triage thousands of issues weekly, allowing our teams to focus on impactful work.

What do you dislike about the product?

There isn't really anything about Teleskope that I dislike. Originally, there were some connectors missing, but they quickly integrated and built them.

What problems is the product solving and how is that benefiting you?

Teleskope automates data classification and prevents sensitive data breaches, saving us from manually addressing thousands of issues weekly. The classification engine is context-aware. This automation lets the team focus on impactful work, while still having a way to trail back changes.

What do you like best about the product?

I like Teleskope for its ability to automatically classify and remediate data across cloud and SaaS environments. It helps in keeping track of our datasets by providing an inventory and visibility into where our data is located, whether it's in Slack, Notion, our CX systems, or within our infrastructure. One of the standout features for me is its automatic remediation in real-time, which doesn't need manual triage of alerts. The classification engine effectively understands context, reducing false positives, which is pretty nice. Additionally, Teleskope's integration with our wiki/context layer is very handy for us since we use it as our internal source of truth, providing a centralized plane for data identification and allowing users to unblock themselves when necessary. The option to modify access, like revoking and quarantining sensitive information automatically, is also very useful. The setup was relatively easy, and I appreciate that the tool doesn't hinder business velocity in a fast-paced environment like ours. Overall, it's a valuable asset for enforcing data retention policies and protecting sensitive data.

What do you dislike about the product?

There are a few papercuts that makes it difficult to triage (like loading speeds). There are also a few feature requests that we're waiting on, but the team is fast to implement them (ex: resource link in the alert notification to the data owner).

What problems is the product solving and how is that benefiting you?

I use Teleskope for automated data classification, protecting sensitive data, enforcing policies, and remediating issues across cloud and SaaS environments, saving time with real-time actions and reducing manual triage efforts.