Enterprise LLM Security & Governance Service | AI Risk & Compliance Solution
Safeguard your AI investments with enterprise-grade LLM Security & Governance. Our service ensures your Large Language Models are not only powerful but also compliant, secure, ethical, and auditable—without compromising performance or innovation.
Tools & Tech for LLM Security & Governance Service
What It Is
LLM Security & Governance is a specialised service that enforces policies, controls, monitoring, and compliance mechanisms around the use of large language models (LLMs) within your organization. From prompt management to output validation and data leakage prevention, we help you build a responsible and secure AI foundation. → Customisable to your enterprise’s risk profile, sectoral regulations (GDPR, HIPAA, SOC 2, ISO 27001...), and internal governance frameworks.
How it maps to the Customer Journey
Awareness
Builds trust by ensuring responsible AI deployment from day one.
Consideration
Offers peace of mind during vendor selection or proof-of-concept stages.
Purchase
Acts as a de-risking layer for adoption and procurement.
Onboarding
Smooths integration with security policies, identity layers, and audits.
Retention
Reduces risk of model misuse, hallucination, or non-compliance.
Expansion
Enables confident scaling and cross-departmental LLM use.
Awareness
Builds trust by ensuring responsible AI deployment from day one.
Consideration
Offers peace of mind during vendor selection or proof-of-concept stages.
Purchase
Acts as a de-risking layer for adoption and procurement.
Onboarding
Smooths integration with security policies, identity layers, and audits.
Retention
Reduces risk of model misuse, hallucination, or non-compliance.
Expansion
Enables confident scaling and cross-departmental LLM use.
Value Across Business Departments
Marketing
Controls brand-safe outputs, prevents misinformation and reputational risks.
Sales
Secures client-sensitive inputs and ensures ethical AI co-pilots in customer-facing tools.
Accounts/Finance
Maintains audit trails, controls leakage of financial data, supports compliance reporting.
Service/Product
Ensures product LLMs (chatbots, agents, copilots) don’t violate data access or output policy.
Operations
Centralised policy and compliance layer for LLM tools across teams.
HR
Prevents bias, monitors internal use, and enforces ethical AI practices in training/hiring.
Support
Keeps customer data secure in support GPTs, and ensures response quality is governed.
Internal vs. External Use Cases
Internal
- Redacts sensitive data in training or prompt logs.
- Implements fine-grained access & model usage permissions.
- Logs and alerts for misuse or model drift.
External
- Audits public-facing GPT agents or tools.
- Applies real-time moderation to LLM-generated content.
- Offers explainability layers for customer-facing transparency.
Value Protection, Enhancement, and Creation
| Value | Description |
|---|---|
| Protection | Defends brand reputation, prevents data leaks, enforces compliance, and limits liability. |
| Enhancement | Improves quality, fairness, and ethical grounding of AI outputs. |
| Creation | Unlocks new secure AI products and services that meet industry-specific requirements (e.g. finance, legal, healthcare). |
Protection
Defends brand reputation, prevents data leaks, enforces compliance, and limits liability.
Enhancement
Improves quality, fairness, and ethical grounding of AI outputs.
Creation
Unlocks new secure AI products and services that meet industry-specific requirements (e.g. finance, legal, healthcare).
How Its Value Can Be Elevated with AI, Keboola, and Make.com
AI
Combine governance with reasoning agents to perform dynamic risk assessment before any LLM output is released.
Keboola
Integrate structured governance metrics into data pipelines, creating real-time dashboards on LLM compliance, bias scores, and usage footprint.
Make.com
Automate alerts, compliance report generation, and LLM access provisioning workflows across apps and roles—without code.
AI
Combine governance with reasoning agents to perform dynamic risk assessment before any LLM output is released.
Keboola
Integrate structured governance metrics into data pipelines, creating real-time dashboards on LLM compliance, bias scores, and usage footprint.
Make.com
Automate alerts, compliance report generation, and LLM access provisioning workflows across apps and roles—without code.