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IT Vikings — Securing Your Business
AI SECURITY

Adopt AI without handing it the keys

Generative AI arrived in most organisations through a browser tab, not a project. We find where it is already in use, decide with you what is allowed, and put controls in the path — so sensitive data stays in, prompt injection stays out, and the AI you build answers only what it should.

Talk to an engineer →What's included
AI STACK
DESIGNED · DEPLOYED
AI Usage Visibility & ControlSHADOW AI / GENAI DLP
AI Application ProtectionLLM GUARDRAILS / AI GATEWAY
AI Security Posture ManagementAI-SPM
OWASP
Top 10 for LLM applications
NIST AI RMF
Risk framework we design to
WHAT'S INCLUDED

Delivered as one service

Take the whole stack or the single control you are missing. Either way it is assessed, designed, deployed and — if you want — operated by the same team.

01

AI Usage Visibility & Control

SHADOW AI / GENAI DLP

Shadow AI discovery and real-time DLP inspection at the CASB, SSE, and endpoint layers to inspect prompts, code snippets, and document uploads before submission to public or enterprise LLMs.

Discovery of sanctioned and unsanctioned AI applications
Per-application policy by user group, not one blanket rule
DLP inspection of prompts and uploads before they leave
In-line user coaching instead of silent blocking
Usage reporting your risk committee can actually read
02

AI Application Protection

LLM GUARDRAILS / AI GATEWAY

In-line AI Gateway proxying and runtime guardrails inspecting incoming prompts and model responses for direct/indirect prompt injection, jailbreak attempts, data exfiltration, and model hallucination risks.

Prompt-injection and jailbreak detection on every request
Output filtering for sensitive data and unsafe content
Tool and agent permissions scoped to least privilege
Controls mapped to the OWASP Top 10 for LLM Applications
03

AI Security Posture Management

AI-SPM

Models, vector stores, training data and the cloud services that host them, inventoried and checked against policy — so an exposed endpoint or an over-permissioned pipeline is a finding before it is an incident.

Continuous discovery and inventory of fine-tuned models, RAG vector databases (e.g., Pinecone, Milvus), API endpoints, and training data pipelines
Misconfiguration and excessive-access findings
Sensitive data discovery in training and retrieval sets
Audit-ready compliance mapping aligned to ISO/IEC 42001 (AIMS), NIST AI Risk Management Framework (AI RMF), and EU AI Act technical requirements
TECHNOLOGIES WE DEPLOY

Vendor-independent by design

See all vendors →
Palo Alto NetworksCiscoMicrosoftForcepointF5
OTHER DOMAINS
Network Security
Networking & Wireless
Endpoint Security
Email Security
Internet Security
Data Security
Identity & Access Management
Infrastructure & Cloud Solutions
OT & Industrial Security
Mobile Security
TYPICAL DEPLOYMENT

What this looks like as a project

YOU PROVIDE

Your AI usage policy (or the people who will write it), a list of AI applications in development, and access to the proxy, identity and cloud consoles in scope.

YOU RECEIVE

An AI usage inventory, enforced usage and data-loss policy, guardrails in front of your own AI applications, and a posture baseline with the findings ranked.

BEFORE YOU ASK

The questions we get every time

We have not approved any AI tools. Do we still need this?
Usually more than anyone. Discovery almost always finds AI services already in daily use, and the first deliverable is that list — so the policy is written about what is actually happening rather than what was assumed.
Will you block ChatGPT and similar tools?
Only if that is your decision. Most organisations allow approved tools for approved groups, stop sensitive data reaching them, and coach users in the moment. Blocking outright tends to push usage onto personal phones, where nothing is visible.
Is this the same as testing our AI application?
No. This page is the controls we deploy and run. Testing an AI application the way an attacker would is an offensive security engagement, and the two are often bought together.

Not sure which controls you actually need?

Start with a consultation. We map your AI security posture against real threat models and hand back a prioritised roadmap — no obligation.

Book a consultation →Architecture review