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Product Brief

Data Security as a Service Breakdown: Detection and Response

Set policy for data consumption and automatically respond to security events in real-time

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Data Security as a Service Breakdown: Detection and Response

Set policy for data consumption and automatically respond to security events in real-time

Published on Oct 12, 2020
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ALTR’s Data Security as a Service platform brings enhanced data security to enterprises across their modern data architectures. With ALTR, organizations can implement a data consumption governance model, benefitting from ALTR’s ability to observe, detect, and automatically respond to threats. Further, leveraging ALTR’s protection service secures data from direct access threats while ensuring all requests flow through the organization’s data consumption governance model. In this brief, we’ll discuss ALTR’s detection and response capabilities.

Control Starts With Observability

To control abnormal data consumption, you have to have a good understanding of what is normal. With ALTR’s observability in place, your organization can view and analyze data consumption patterns across the enterprise. You can use the intelligence gained from this to understand areas of risk and create granular policy that limits how much data is allowed to be consumed. These limits can be set irrespective of identity and associated access permissions, protecting against credentialed threats and extending Zero Trust to the SQL layer.

Centralized Detection, Local Response

Creating policy within ALTR is simple, yet powerful. Using ALTR’s cloud console, you can create policies that limit data consumption based on which data is being requested, who is requesting it, the access rate, time of day, day of week, and IP address. ALTR’s cloud-based policy engine and management console allow you to control data consumption across multiple cloud and on-premise applications from one central location. This eases the burden on your infrastructure team, who now has less to install and maintain, while making data security easier and faster to implement.

While applications request data directly from data sources, ALTR’s cloud-based policy engine continually analyzes observed requests for data to determine whether those requests have violated policy - either with a single request or through a series of requests over time. If so, it responds back to connected applications where enforcement is then locally applied. Once policy is violated, an event is triggered within ALTR and additionally sent to enterprise SIEM/SOAR tools for response. While the security team investigates, responses can be slowed down or automatically masked to proactively stop data loss before it happens.


  • Prevent security incidents in real-time — Set realistic limits for data consumption to stop data loss before it happens.
  • Protect against credentialed threats — Even if credentials are compromised, ALTR’s policy engine can prevent data breaches in real-time.
  • Mitigate risk and speed up innovation — Grant more access to data knowing it remains secure and your business isn’t exposed to regulatory penalties.

To learn more about ALTR's Data Security as a Service, check out our two other product briefs: Protection and Observability.

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