As the
>
I would like to
>
h|
Controls & Policies
Writing policies is the name of the GRC game, but it's also... basically the worst.
You set a business-wide rule: all deployments must apply security controls to reduce regulatory risk. A team is hired to define the controls; engineering is told approvals are required before release. A change management board is born.
So now engineering has a policy to go through the change management board, while your GRC or cybersecurity teams are on the hook to write policies for each technology that engineering wants to deploy.
A small new app needs to go live by the end of the quarter, and control catalogs need to be written for six different cloud service types.
As a stopgap, the change management board puts a policy in place that all cloud services must follow NIST 800-53. Engineering rewrites their infrastructure as code accordingly, but its mostly guesswork configuration. That's an accepted risk for now.
But your organization is mature. Your security and GRC teams get right to work.
A year later, threat-informed control catalogs are written for each of those six cloud services. This satisfies all of the regulatory requirements your team could find, so now a new policy is created: deployments must all to adhere to these control catalogs.
Engineering learns about the new policies one by one as they request reviews from the change management board. Policy authors slowly meet with security tool owners to update the configuration of each. Then they start on more catalogs, and update the existing catalogs with new threats if they happen to find time.
But automation remains a patchwork of third-party tools, custom scripts, and "human API" handoffs.
Things are better than they've ever been, and yet headcount for maintaining control catalogs and policies continues to balloon — scaling with the size and number of deployments.
Here's how we fix this.
The core problem in that workflow is that policies are treated as documents. They are "human APIs"—static text that requires meetings, emails, and manual interpretation to become action.
This is a scaling nightmare. You can't hire your way out of it.
The Revanite Platform is built on a simple, powerful idea: stop writing documents and start building policy-as-code.
For you, as the GRC team, this means you stop being a document factory and become the master of a "Policy Creation Accelerator." This is your new home base, and it completely changes the game.
Here's the new workflow:
You Ingest Your Building Blocks: The platform's data lake is already populated with high-level Layer 1 Guidance (like NIST 800-53) and technology-specific Layer 2 Control Catalogs (like the FINOS Common Cloud Controls). You no longer have to write these from scratch.
You Build a Layer 3 Policy: Using the Policy Builder, you compose a new, machine-readable Gemara Layer 3 Policy. You aren't just writing prose—you are programmatically linking "this regulation" to "these specific controls" and "this organizational risk."
You Hit Publish.
Now, watch what happens. That "human API" of emails and change management boards is shattered.
Your new Layer 3 policy is automatically distributed as data to every other team's interfaces.
GRC Teams can now reference this new policy by ID, reducing replication in situations that have potential for overlap.
Security Teams who are impacted can find the new policy in their user interface, and relevant changes are automatically loaded into scanners and observability tools.
Engineering Teams don't get a wiki page a month from now. If a change is required, the appropriate parties will be notified. Their architecural design UI immediately reflects any changes in policy. The next time a developer opens a pull request, their IaC is already being validated against the new rule.
Audit Teams see the policy appear in the audit tree of their user interface. They can now trace every deployment and test result that is impacted by this new policy, and the results of any evaluations made against them.
This is how you scale.
You define the policy once. The platform handles the distribution, implementation, and automated evidence collection. Your team is no longer the bottleneck—you are the central, programmatic source of truth.