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Governance and guardrails for GenAI

Out of the box policies and no plugins to install - quickly deployed for immediate results

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"I have full visibility into GenAI usage and protection against data leaks."

- Dirk Karjack, Director and Deputy CISO, The Hornblower Group

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Solution Overview

Why NROC Security

Visibility & insight

Monitor how the organization uses GenAI, assess risks, and prove compliance. Develop AI policies with facts.

Real-time monitoring

Dashboard and insights on apps, usage, data in prompts, content created and security friction

Facts on risk exposure

Metrics on classified data in prompts and the riskiest topics in created content

Compliance record

Logs about every prompt, response and policy action - referencing the users’ corporate identities

Compliance record

Logs about every prompt, response and policy action - referencing the users’ corporate identities

Access governance to GenAI apps

Allow access to the right AI for the task at hand

Authenticated GenAI usage

Single Sign-On (SSO) for users utilizing their corporate IDs, even when using private IDs on consumer apps

Gated access to Gen AI apps

Access controlled using customizable policies that consider the app’s risk profile

User group-based policies

Tailored departmental policies based on Active Directory (AD) groups

Prompt & response guards

Enforce policies to both prompts and responses based on out-of-the box guardrails

Prompt content guardrails

Guardrails to prevent PII, IP and data leakage, prompt injections and jailbreaks, saving users from accidental data leakages

Response content guardrails

Ability to define use case boundaries for each app, e.g. such as if software code creation is allowed

User guidance and accountability

Real-time cues to support safe GenAI usage, while explicitly asking users to evaluate and accept a risk

Data flow guards

Right data for the right AI, with the ability to block some data from any AI

Proprietary AI-based categorization

Single Sign-On (SSO) for users utilizing their corporate IDs, even when using private IDs on consumer apps

Data flow controls for attachments

Ability to allow the right categories of files to certain apps, while blocking them from other AIs

Offline training zone

Custom document categories defined by analyzing a sample set of files using a desktop app
Built for enterprises

Unique cloud-based AI security proxy architecture

Easy to deploy, certified for security, and compliant with workplace privacy regulations

Easy to deploy

Redirection of AI traffic only

Several options to direct AI-related web traffic to the proxy:

  • Proxy auto-configuration (PAC) in workstations
  • Proxy chaining from an existing SWG/SASE solution
  • Rules in a DNS proxy

No endpoint agents or plugin to install

Configuration can be pushed to workstations using common Device Management solutions

SSO-based user authentication

Works with common SSO providers to authenticate end users on their corporate IDs

Okta
EntraID

Security and compliance

Secure by design

Modern microservices based architecture with customer data isolation and encryption

Security certifications

Certified for SOC 2 type II

Regulatory compliance

Compliant with GDPR and configurable to meet workplace privacy regulations

SOC 2 type II
GDPR

Workplace privacy

Highly configurable settings that offer employee privacy levels needed

  • Anonymous mode as an alternative to the end user authentication
  • Granular options to control inspection and logging of end user content
  • Admin role options to restrict access to end user content
  • Ability for multinational enterprises to apply different settings per country
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Industry insights

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Generative AI Governance: 8 Capabilities Every CIO Should Evaluate

Learn the 8 capabilities every CIO should evaluate to avoid engine overrev in enterprise AI adoption
CIO guide
CISO

What is generative AI governance?

A CIO's Guide to enabling secure enterprise AI adoption
CISO
Governance

Measuring what matters: GenAI Effectiveness 2Q metrics

The full research report breaks down all of the 2Q26 benchmarks (in comparison to 1Q 2026) — adoption and weekly usage, the app landscape (including how Microsoft Copilot, ChatGPT, and Claude are actually being used), the prompting-skill level, data-exposure trends, and the GenAI Effectiveness Index methodology — along with the productivity-first governance framework for closing the GenAI productivity gap.
Governance
Productivity
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