AI Security & Governance

Build AI You
Can Trust.

Enterprise AI is moving from answering questions to making decisions and taking actions.

As organizations deploy LLMs, RAG applications, copilots and autonomous agents, traditional cybersecurity controls alone are no longer sufficient.

Kavion helps enterprises build, test, govern and operate AI systems with security, evidence and control engineered into the architecture.

Secure the Model. Protect the Data. Govern the Decision. Control the Action.

Talk to Our AI Security Experts

The Challenge

Enterprise AI Introduces a New Risk Surface

AI applications increasingly access enterprise knowledge, retrieve sensitive information, interact with applications, invoke APIs and initiate workflows.

Agents can go even further, taking actions across business systems.

Users reach AI applications, which drive agents that act on enterprise knowledge, applications and APIs, and business workflows, each hop a new risk point

That creates new questions:

Can the model be manipulated?

Can confidential information be extracted?

Can retrieved content influence the system maliciously?

What systems can an AI agent access?

What actions is an agent permitted to perform?

When should human approval be mandatory?

Can every decision and action be traced?

How do we continuously test AI as models and applications evolve?

Kavion addresses these challenges through an integrated approach to AI Security, AI Governance and Secure AI Engineering.

See how

Our Approach

AI Security, AI Governance and Secure AI Engineering

AI & LLM Security

Test AI the way an attacker would.

Configuration reviews alone cannot determine whether an AI application will behave securely in the real world.

We assess AI systems using adversarial techniques designed specifically for LLMs, GenAI applications, RAG environments and agentic systems.

Capabilities include:

LLM & GenAI Security Assessments
Prompt Injection Testing
Jailbreak Testing
Sensitive Data & PII Leakage Testing
Indirect Prompt Injection Testing
Adversarial Testing
RAG Security Testing
Model & API Endpoint Testing
AI Red Teaming
Guardrail Effectiveness Testing

Testing can be aligned with recognized approaches such as OWASP guidance for LLM applications, NIST AI RMF and MITRE ATLAS, depending on the use case.

Outcome

Understand whether your AI is simply configured securely or actually behaves securely under attack.

Agent Security & Control

AI agents need authority. They also need boundaries.

AI agents can move beyond recommendations and execute activities across enterprise applications, APIs and workflows.

That makes identity, authorization and control fundamental to agentic AI.

Agent Identity

Know which agent initiated an activity and under whose authority it operated.

Least-Privilege Access

Give each agent access only to the systems, data and functions required for its purpose.

Action Boundaries

Define what an agent can recommend, initiate, execute or never perform autonomously.

Approval Gates

Require human approval for sensitive, exceptional or high-value transactions.

Tool & API Controls

Govern which external tools, applications and enterprise APIs an agent may invoke.

Execution Traceability

Maintain visibility into what the agent received, evaluated, recommended and executed.

Continuous Monitoring

Detect abnormal behaviour, unauthorized actions and unexpected execution patterns.

Outcome

Enable agentic automation without surrendering enterprise control.

AI Governance

Govern AI decisions not just AI models.

As AI becomes embedded in business processes, organizations need visibility into how it accesses data, generates recommendations and initiates actions.

Our approach helps enterprises establish governance around:

AI Policies & Usage Controls
Model Governance
Data Access Governance
Human-in-the-Loop Controls
Approval & Escalation Rules
Decision Traceability
Auditability
Explainability
Model and Prompt Versioning
AI Risk Classification
AI Usage Monitoring
Responsible AI Controls

Outcome

Create accountable AI where important decisions and actions can be governed, understood and audited.

Secure RAG & Enterprise Knowledge

Give AI access to knowledge without giving everyone access to everything.

RAG enables AI systems to reason over internal documents, contracts, policies, operational information and structured enterprise data.

But poorly governed knowledge architectures can expose confidential information or allow manipulated content to influence AI responses.

Kavion helps secure enterprise knowledge architectures through:

Source-Level Access Controls
Role-Based Retrieval
Document & Data Permissions
Tenant Isolation
Secure Embeddings & Vector Stores
Retrieval Filtering
Sensitive Data Protection
Source Traceability
Content Validation
RAG Attack Testing

Outcome

Give AI the information it needs while respecting enterprise access and security boundaries.

Secure AI Engineering

Security by design not after deployment.

AI security should begin with architecture.

Kavion brings security and governance into the AI engineering lifecycle.

Secure Architecture

Design authentication, authorization, isolation, encryption and secure integration into the solution architecture.

Model & Data Protection

Control how models interact with confidential enterprise information.

Deployment Choice

Support appropriate enterprise-cloud, private-cloud and on-premise architectures based on security, privacy and data-residency requirements.

API Security

Secure interactions between AI, business applications, enterprise platforms and external tools.

Observability

Monitor model interactions, agent activity, system usage and exceptions.

Continuous Testing

Reassess security whenever models, prompts, knowledge sources, APIs, integrations or agents change.

Continuous AI Assurance

AI is dynamic. AI security must be continuous.

Traditional security assessments provide a point-in-time view.

AI systems can change when the underlying model, system prompt, knowledge base, tools, integrations or guardrails change.

Kavion helps organizations establish an ongoing assurance model:

Discover
Test
Govern
Monitor
Improve

This provides continuous visibility into the security and governance posture of enterprise AI.

Platform

Trust Built Into
Kavion

Security and governance are not separate layers added after deployment.

They are fundamental to how enterprise AI should operate.

Across xTract, PRISM, VLI and agentic capabilities, Kavion is designed around the principle that intelligence should operate within enterprise-defined controls.

Enterprise
defined controls

VLIxTractPRISMAgentic capabilities

Identity & Access

Control who or what can access information and initiate actions.

Human Oversight

Introduce approval checkpoints wherever business risk requires human judgment.

Evidence & Traceability

Maintain evidence around source information, decisions, workflows and actions.

Governed Execution

Apply business rules, controls and approval policies before automated execution.

Enterprise Integration

Connect AI securely with ERP, applications, documents and enterprise data sources.

Deployment Flexibility

Support deployment architectures appropriate to enterprise security, privacy and data-residency requirements.

Lifecycle

Security Across
the AI Lifecycle

Kavion supports organizations across the complete lifecycle of enterprise AI.

Building AI

Design secure architectures and controls for new AI applications.

Connecting AI to Enterprise Data

Protect RAG environments, documents, knowledge and structured data.

Deploying AI Agents

Control agent identity, permissions, decisions and actions.

Operating AI

Monitor security, governance and behaviour continuously.

Evaluating Existing AI

Assess LLM applications, GenAI solutions and agents for real-world vulnerabilities.

From AI Experimentation to Trusted Enterprise AI

The next generation of AI will do more than generate content.

It will access enterprise knowledge, support decisions, initiate workflows and increasingly execute business activities.

Organizations therefore need to answer three fundamental questions:

Data

Can we trust the data?

Decision

Can we trust the decision?

Action

Can we control the action?

Kavion helps enterprises design the security, governance and control required to answer those questions with confidence.

Build AI that enterprises can trust.

For enterprise-wide cybersecurity across applications, infrastructure, cloud, ERP and OT, explore N-Labs Cybersecurity & Digital Trust.

Talk to Our AI Security & Governance Experts

Secure, Govern and Scale Enterprise AI with Confidence

Build AI YouCan Trust.

Enterprise AI Introduces a New Risk Surface

AI Security, AI Governance and Secure AI Engineering

Test AI the way an attacker would.

Trust Built IntoKavion

Identity & Access

Human Oversight

Evidence & Traceability

Governed Execution

Enterprise Integration

Deployment Flexibility

Security Acrossthe AI Lifecycle

Building AI

Connecting AI to Enterprise Data

Deploying AI Agents

Operating AI

Evaluating Existing AI

From AI Experimentation to Trusted Enterprise AI

Can we trust the data?

Can we trust the decision?

Can we control the action?

Build AI that enterprises can trust.

Build AI You
Can Trust.

Trust Built Into
Kavion

Security Across
the AI Lifecycle