Govern How AI Is Used
Managed AI Operations
AI is already in use across your environment.
Employees use ChatGPT, Claude, Gemini, Copilot and other tools to write, analyze data and support decisions, often without IT knowing. That is shadow AI, and most organizations cannot show how it is controlled.
Data is entered without oversight. Prompts are not inspected. Activity is not recorded. This creates a gap between AI usage and control.
AI usage is expanding faster than most organizations can manage. In regulated environments, this introduces exposure across data protection, access control, and audit requirements.
RedZone runs AI governance for you as a managed service. Our team finds the AI tools in use, enforces your AI policy on managed workstations and browsers, reviews violations and keeps the record your auditors ask for. You approve the policy. We run it.
Sensitive data is entered into external tools. Outputs are not validated. Usage occurs outside approved environments.
Most organizations cannot answer basic questions:
- Which AI tools are in use
- Who is using them
- What type of data is being shared
Without that visibility, risk develops quietly across the environment.
RedZone establishes control by making AI usage visible and enforceable.
AI Usage Is Already Happening
AI adoption begins with usage, not policy.
Employees adopt tools independently. Teams experiment with new capabilities. Data moves into systems without oversight.
This creates exposure.
Data leaves controlled systems. Decisions are influenced by unverified outputs. Compliance obligations are not reflected in AI usage.
These risks are not visible in traditional monitoring.
They require control at the point of interaction.
This gap is not addressed by traditional security or monitoring tools. It requires direct control where AI is actually used.
RedZone closes that gap by enforcing policy where AI is actually used.
Data leaves controlled systems. Decisions are influenced by unverified outputs. Compliance obligations are not reflected in AI usage.
These risks are not visible in traditional monitoring.
They require control at the point of interaction.
This gap is not addressed by traditional security or monitoring tools. It requires direct control at the point where AI is used.
RedZone closes that gap by enforcing policy where AI is actually used.
The Gap Between AI and Control
Most organizations respond to AI in one of two ways.
They block it. Or they ignore it.
Neither approach works.
Blocking slows teams down. Ignoring introduces risk.
The issue is the gap between usage and enforcement.
Prompts are submitted without inspection. Unapproved tools go unnoticed. Nothing is logged.
Over time, this creates a new class of risk.
AI Readiness Assessment
Start with evidence, not assumptions. An AI Readiness Assessment shows which AI tools your people use today, what data is going into them, and where your controls and policy fall short.
You receive a findings report and an adoption roadmap, reviewed with your leadership on a call. From there, we write your AI acceptable use policy with you, deploy the controls and run them as part of your RedZone program: one team, one agreement.
Know what is in use before you write the rule.
The AI Assurance Layer
The AI Assurance Layer brings structure to how AI is used across the environment.
It applies visibility, control, and governance directly to AI interactions, ensuring usage aligns with operational and compliance requirements.
AI-Assured Posture
Our team keeps a current inventory of the AI tools in use and who is using them.
AI Usage Guardrails
We run the controls that approve or block each tool and redact sensitive data from prompts.
AI-Assured Compliance
We maintain the activity log and hand you audit-ready evidence when you need it.
AI-Assured Intelligence
We report usage, violations and risk to your leadership and review it with you each quarter.
Each layer addresses a different part of AI risk.
Visibility. Control. Governance. Insight.
Together, they create a controlled environment for AI usage.
This ensures AI activity is not only visible, but enforceable and defensible under audit.
How RedZone Controls AI in Your Environment
We deploy discovery across your managed workstations and browsers and keep the inventory current. New AI tools are flagged as they appear.
We configure and tune the rules that redact or block sensitive data before it reaches a model, and stop unapproved file uploads.
We enforce your AI policy on every managed workstation, classify each new tool as approved, restricted or blocked, and handle exception requests.
We maintain the log of AI activity by user, tool and time, review policy violations and escalate the ones that matter.
We report usage, violations and exposure to leadership on a set schedule and review the policy with you each quarter.
What Managed AI Operations Delivers
Managed AI Operations delivers measurable improvements in visibility, control, and compliance across the environment.
Clear visibility into where AI is being used
Control over what data enters AI systems
Real-time enforcement of AI usage policies
Continuous logging and audit-ready evidence
Reduced exposure across regulated data
Alignment to compliance and governance requirements
Measurable insight into AI risk and usage patterns
Shadow AI identified and brought under policy
Greater confidence in how AI is being used across the organization
The Difference
Most providers advise on AI or deploy tools.
RedZone operates and governs AI directly inside your environment, taking responsibility for how it is used, secured and controlled over time.
This is delivered through the RedZone AI Assurance Layer, which enforces policy, manages risk, and ensures AI remains aligned to your business, not just visible to your team.
AI Requires Control
AI is already part of how work gets done.
The question is not whether AI is being used. The question is whether it is controlled.
Without control, risk develops quietly across the environment. With control, AI becomes a governed and predictable capability.
Data is governed. Usage is aligned. Outcomes are predictable.
This cannot be achieved through tools alone.
It requires continuous enforcement at the interaction layer.
Organizations that establish control early are able to adopt AI with confidence, without introducing unmanaged risk.
RedZone provides that control.
AI Governance FAQ
AI governance is the set of policies and controls that decide which AI tools employees may use, what data may go into them, and how that use is recorded. RedZone delivers it as a managed service: we run discovery, enforcement, violation review and reporting for you.
By controlling the prompt before it is sent. RedZone inspects prompts on managed workstations, redacts or blocks sensitive data, stops unapproved file uploads and blocks the AI tools your policy does not allow.
Shadow AI is the use of AI tools such as ChatGPT, Claude or Gemini without the knowledge or approval of IT. It puts business data into systems the organization does not control. RedZone finds shadow AI, shows who is using what, and brings it under policy.
RedZone runs AI governance as a managed service, not a tool handed to your IT team. Our team enforces your AI policy day to day, reviews violations, classifies new AI tools as they appear, updates the policy with you each quarter and keeps the evidence your auditors ask for.
