Automating trust with Collibra Control Tower

Whether you’re managing AI safety, regulatory mandates or metadata health, manually verifying thousands of data assets is no longer a viable strategy. This manual burden creates a gap where critical risks go unnoticed, leading to a loss of trust across the entire data ecosystem. To break this cycle, organizations must implement real-time monitoring to visualize the health of every asset and resolve failures the moment they occur.

What’s new: Collibra Control Tower

Collibra Control Tower is an automated enforcement engine that transforms static metadata into proactive guardrails to ensure data integrity at scale. By leveraging your existing knowledge graph, Control Tower empowers users to define specific, testable controls that continuously validate data assets against organizational standards.

How Control Tower helps

Collibra Control Tower replaces manual spot-checking with a global dashboard designed for management by exception, allowing your team to focus only on assets that actually fail. Its intuitive, no-code interface democratizes governance, enabling non-technical stewards to build control logic. By maintaining a continuous, automated history of every check and resolution, it ensures that no policy or regulatory requirement is never overlooked.

Control Tower helps solve for:

• Operational blind spots: Provides instant visibility into control statuses, pinpointing exactly which assets are failing so you can identify root causes immediately
• Human error and risk exposure: Replaces error-prone manual checks that leave organizations vulnerable to financial penalties and reputational damage
• Operational Inefficiency: Shift to exception-based management with proactive alerting, ensuring your team only spends time fixing what is broken instead of manually spot-checking what is working
• Fragmented visibility: Establish a single source of truth by capturing policies, controls, failing assets and remediation steps in one centralized location

How Control Tower works

Control Tower utilizes an intuitive query builder to define the scope and constraints of any given policy. Pulling directly from metadata stored in your knowledge graph, this no-code interface ensures that non-technical data stewards can design customized validation conditions using simple logic.

A control automatically tests specific conditions against your data assets to determine if they are passing or failing. Each control is built with four key elements: a query to find the relevant assets, a condition to validate them, a schedule to determine how often to run the check and a set of remediation steps to resolve the issue.

Once defined, these controls run on scheduled validation cycles. Users can visualize the passing or failing status of active controls at a glance. If a control fails, the system doesn't just flag an error; it provides root-cause identification, allowing users to drill down to the specific attribute causing the violation.

When a control fails, the system instantly notifies stakeholders via email, Slack or Microsoft Teams to ensure a rapid response. This creates a closed-loop process that automatically alerts responsible stewards and maintains a complete system of record. By providing structured workflows to assign owners, set risk-based priorities and track deadlines, Control Tower ensures that every violation is managed from detection to documented resolution.

Why you should be excited

By ensuring data integrity and automating trust across the ecosystem, Control Tower provides unique value to the following key data governance roles:

• Data stewards: Shift focus to high-impact remediation by automating oversight and surface-level checks, flagging only the specific assets that require corrective action
• Policy managers: Operationalize global policies as living controls to ensure consistent, automated enforcement and visibility across all connected data assets
• Data governance managers: Gain a unified, high-level view of compliance across all internal and external controls at scale

Control Tower helps these data governance roles with:

• Regulation-specific compliance: Map policies like BCBS 239 to live controls that monitor your data assets in real-time. For example, automatically verify that all reports governed by the BCBS 239 policy utilize data with the appropriate data classification
• Data Product integrity: Leverage Control Tower to monitor the Output Port to ensure the Data Product meets its service-level agreement (SLA) for data freshness, preventing users from using stale or outdated information
• AI Governance at scale: Automate AI policy validation with Control Tower, allowing teams to manage by exception—only intervening when the knowledge graph detects a violation in model usage or data inputs. For example, automatically verify that all AI models in production are trained exclusively on datasets that do not include personally identifiable information (PII)

Key takeaways about Control Tower

Collibra Control Tower transforms manual oversight into automated enforcement by converting static metadata into living, managed controls. By leveraging the knowledge graph for real-time validation, the platform instantly identifies policy violations and triggers automated alerts to the right stakeholders.

Join Collibra’s Spring Product Premiere to learn:

• The latest platform innovations in our Spring 2026 release
• How Control Tower delivers trust and efficiency through proactive guardrails and automated oversight
• How to get started

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  Zohaib Irshad

  Zohaib Irshad

  Senior Manager, Product Management

  Collibra

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  Meredith Bailey

  Meredith Bailey

  Senior Product Marketing Manager

  Collibra

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  Kristof Van Coillie

  Kristof Van Coillie

  Software Engineering Manager

  Collibra