The Step Every DSPM Skips | Teleskope Blog

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From detection to resolution, in the same platform

Most of the DSPM tools require manual triage of 100% of data risks. The number of alerts varies from 500 to 5,000 to 5 million. This is the reason CISOs are looking into new breed of solutions capable of automating the remediation process.

However, implementing robust remediation workflows can quickly turn into a tedious task. That’s why Teleskope added Policy Workflow Builder to the Policy Maker. Policy Builder gives security and compliance teams an easy drag-and-drop workflow builder to design complete remediation workflows including triggers, filters, actions, and alerts. The moment a violation is detected, the workflow takes over.

For example, a file classified with sensitive PII in Google Drive can be quarantined immediately, with a Slack message sent to the data owner in the same instant. The owner sees two options: flag it as a false positive, or submit a business justification to get it unquarantined. The workflow routes their response automatically. If no response arrives within the window your team defines, the default remediation path continues.

No ticket. No manual step. No waiting.

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Owner notification built into the workflow, not bolted on after

One of the most common resolution steps we see across policies involves shifting remediation actions to data owners, however it only works if it doesn’t create more work for your team. This only works if the notification, the response options, and the follow-through are all automated. Manual owner outreach creates more work than it offloads.

Policy Builder handles this natively. Data owners get alerts via Slack or email. Each alert can include configurable user input options: report a false positive, submit a justification, redact the content, or revoke access. The workflow branches based on what the owner actually does, and each branch carries its own sequence of actions and a defined response window.

If no response arrives, the policy does not wait indefinitely. The default branch executes after the window closes. Your team reviews exceptions, not every violation.

Precision scoping before any action fires

CISOs always navigate a fine line between enforcing policies while maintaining trust with their business partners. Acting too broadly erodes trust with data owners. Filters let teams scope policies precisely before any action fires, targeting exactly the right data in exactly the right connectors, so a remediation workflow does not catch edge cases that should be handled differently.

You get a complete audit trail automatically, no manual documentation. Quarantined files, owner notifications sent, justifications received, escalations triggered: all of it is captured with timestamps and resolution status. Security teams can then use this complete audit trail for internal governance and compliance reporting.

FAQ

How do I automate remediation across cloud and SaaS environments without creating more alert noise?

Effective automated remediation requires workflow logic that matches how your team actually responds to violations: notifying owners, waiting for input, and only escalating when necessary. Policy Builder lets you encode that logic directly into the policy so actions run in the right sequence without generating redundant alerts at each step.

What should I look for in a data security platform's policy and remediation capabilities?

Look for a platform that takes you from detection to resolution without a manual handoff. That means conditional logic, owner notification with defined response windows, and branching based on user input, not just single-action triggers. Policies that handle real-world complexity are far more likely to be adopted and kept running over time.

How do I give data owners visibility into remediation without slowing down my security team?

Owner notification workflows with a defined response window let data owners flag exceptions or submit justifications without requiring your security team to chase them manually. If no response arrives, the policy continues automatically. Policy Builder supports this pattern natively across Slack, email, and other alert channels, so your team reviews exceptions rather than managing every violation.

How does a data security platform help with GDPR, HIPAA, and CCPA compliance?

Compliance frameworks require not just detection but documented, consistent response to sensitive data violations. Policy Builder generates a complete activity log for every action taken by a workflow, giving you an audit trail that demonstrates your remediation processes are defined, repeatable, and executed as configured.

How do I reduce the manual work my team spends on data security violations?

The biggest driver of manual work in data security is remediation logic that lives outside the platform, in runbooks, spreadsheets, or team memory. Moving that logic into executable policy workflows eliminates the handoff between detection and action and lets your team focus on reviewing exceptions rather than managing every violation individually.

Can a data security platform handle remediation across both structured and unstructured data?

Yes. Policy Builder supports remediation actions across file-based connectors like Google Drive, SharePoint, OneDrive, and Box, as well as cloud storage like S3, messaging platforms like Slack, and structured data sources like Databricks. The workflow canvas and action library are consistent across connectors, so you can apply the same remediation logic regardless of where the data lives.