Shadow AI · AI Visibility & Oversight
Embrace AI. Contain the Risks.
AI is transforming work, but unapproved apps, autonomous agents, and unrestricted cloud connectivity bring new security risks.
Heimdal AI Containment’s layered security identifies access to AI services, controls what can run, and breaks the action chain, reducing AI risk while preserving access to productivity tools.
11 contained
0 escaped
Four pillars, one boundary
Layered containment around every AI tool
Each pillar stops a different kind of AI traffic. Select one to see what it does, or switch containment off to see what gets out.
Overview
AI adoption is outpacing security policy. Employees use desktop assistants, browser platforms, and AI development tools, often without approval or IT visibility, boosting productivity but risking sensitive data exposure, unauthorized integrations, and unmanaged external communication.
EU AI Act Article 14 human oversight rules for high-risk AI apply from 2 December 2027 (Annex III) and 2 August 2028 (Annex I products). In regulated sectors, governance starts with an AI inventory, an approved-tools list, and enforced restrictions on the rest.
Heimdal AI Containment sets clear AI boundaries: it identifies access to AI services, controls what can run, and breaks the action chain, so businesses can innovate without needlessly expanding their attack surface. Security, IT, and compliance teams get practical controls supporting AI usage policies and EU AI Act readiness.
AI Security Challenges
Employees can access AI platforms or install applications without IT approval, leaving security teams with an incomplete picture of AI-related activity.
Without adequate visibility, identifying unapproved services and enforcing internal usage policies becomes increasingly difficult.
AI tools frequently communicate with external cloud infrastructure, creating potential pathways for confidential business information, proprietary code, and intellectual property to leave managed environments.
Organizations need practical ways to restrict unauthorized connectivity while preserving legitimate workflows.
Desktop assistants, autonomous agents, command-line utilities, and browser-based AI services operate through different processes and access methods.
Their evolving architectures, application updates, and dynamic cloud endpoints make consistent enforcement difficult using a single security mechanism.
Security Solution
Heimdal AI Containment combines complementary security capabilities across four pillars: identify access to AI services, control what can run, break the action chain, and remove silent privilege escalation (coming soon).
Rather than relying on a single blocking method, Heimdal enables targeted enforcement according to how individual AI tools operate.
CASB / DNS Security
Application Control
AppFencing
PEDM (AI-Specific Controls Coming Soon)
*AI-specific Privilege Elevation and Delegation Management (PEDM) controls coming soon.
Practical AI Containment
Different AI environments call for different security responses. Heimdal's layered capabilities help administrators apply restrictions according to the application and its operational requirements.
AppFencing
Allow suitable local AI applications, such as LM Studio, to run on managed endpoints while isolating their external network traffic.
Preserve local inference capabilities without allowing the application to communicate with cloud services.
Application Control
Prevent targeted desktop assistants and standalone agents from launching through application-specific execution rules.
Apply restrictions to identifiable processes instead of unnecessarily blocking unrelated software.
DNS Security
Use DNS Security policies to block designated AI platforms, including services such as Meta AI and Grok, through their associated domains.
Address browser-only access methods without relying on executable-based enforcement.
Identify supported AI platforms with DNS Security's CASB, review associated endpoints, and investigate DNS-query activity.
Block designated domains associated with browser-based AI services through Heimdal DNS Security.
Use granular Application Control rules to prevent selected AI applications and standalone agents from running on managed endpoints.
Apply AppFencing restrictions to specific IP addresses or block all network traffic for targeted applications, with configurable exceptions where required.
Business Benefits
Gain insight into supported AI platforms being accessed across managed endpoints and identify potential shadow AI activity.
Prevent selected AI applications and agents from executing and limit their access to external infrastructure.
Apply targeted restrictions while keeping approved applications and suitable offline AI workloads available.
Support internal AI usage policies with application-level enforcement, DNS-based restrictions, and AI service visibility.
Leverage existing Heimdal security capabilities and the centralized Dashboard instead of introducing separate administration environments for each enforcement layer.
AI innovation doesn't have to mean unrestricted access to applications, agents, and external services.
Discover how Heimdal AI Containment can help your organization identify access to AI services, control what can run, and break the action chain.
Explore the capabilities with a personalized demonstration tailored to your environment and security requirements.
Resource Center
Learn more about identifying access to AI services, controlling what can run, and breaking the action chain.
Solution Brief
Discover how Heimdal identifies access to AI services, controls what can run, and breaks the action chain to help businesses manage AI-related risks.
Technical Guide
Explore how Heimdal Application Control, AppFencing, and DNS Security can be configured to restrict desktop, command-line, and browser-based AI tools.
Learn how Heimdal CASB uses DNS telemetry to discover supported AI platforms and provide endpoint-level visibility.
Discover how Heimdal AI Containment can help your business establish stronger security boundaries around AI usage as EU AI Act high-risk obligations take effect from December 2027.
