Policy Automation
Automatically generating, deploying, and maintaining security policies based on asset intelligence and defined security objectives, rather than manually authoring and updating rules for thousands of devices.
What is Policy Automation?
Automatically generating, deploying, and maintaining security policies based on asset intelligence and defined security objectives, rather than manually authoring and updating rules for thousands of devices.
Policy automation is the practice of automatically generating, deploying, and maintaining security policies — access control rules, segmentation configurations, NAC policies — based on asset intelligence and defined security objectives, rather than manually authoring and updating rules for thousands of individual devices. At scale, policy automation is not just efficient — it is the only practical approach to achieving consistent, accurate policy coverage across a connected device estate of any significant size.
Manual policy management doesn't scale. A security team responsible for generating and maintaining microsegmentation policies for 30,000 devices — each with different communication requirements — faces an impossible task manually. By the time policies are authored, validated, and deployed, the environment has changed: new devices have connected, device behaviors have evolved, and new vulnerabilities have been discovered. Manual policies are perpetually stale.
Policy automation addresses this by treating security policy as code generated from data. Behavioral observation provides the data (what does each device type actually communicate with?). Security objectives provide the constraints (enforce least privilege; alert on all cross-zone communication; block all internet access from OT devices). The automation engine translates these inputs into enforceable policies, deploys them to network infrastructure, and updates them as inputs change.
Key Facts
- Policy automation reduces segmentation policy deployment time from months to days for large IoT environments
- Automated policies based on behavioral observation are significantly more accurate than manually authored rules
- Policy drift detection — alerting when actual traffic violates enforced policy — is only practical with automation
- Organizations using policy automation achieve 80% higher segmentation coverage than those using manual approaches
How ORDR Addresses Policy Automation
ORDR Code is ORDR's policy automation engine. It continuously generates segmentation policies, ACLs, and NAC configurations from observed device behavior and security objectives, deploys them to compatible network infrastructure, and monitors for policy drift. Security teams define the objectives; ORDR generates and maintains the policies that implement them.
See ORDR in actionFrequently Asked Questions
See Policy Automation in practice.
ORDR gives security teams complete visibility into every connected asset—and the intelligence to act on what matters most.