AI agents increase productivity -
but also the risk
Agentic AI is fundamentally changing the role of AI in companies. Modern AI tools no longer just answer questions.
You access local data
You start processes
You use plugins
You communicate with external services
You interact with company data
How do companies enable productive AI use without losing control of their endpoints?
Many companies currently have little transparency about this:
- Which AI tools are being used
- Which plugins, skills or MCP servers are active
- Which data AI agents read or pass on
- Which processes or network connections are triggered
Without visibility, there is no effective control. This is exactly where DriveLock comes in.
DriveLock Agentic AI Control:
Endpoint control for the AI era
DriveLock extends proven endpoint protection concepts with Agentic AI control.
Instead of creating a completely new security category, DriveLock transfers established principles such as:
- Application Control
- Application Behavior Control (ABC)
- File Access Control
- Endpoint Visibility
to new AI artifacts such as:
- AI desktop apps
- Browser AI and plugins
- Skills
- MCP server
- AI configuration and memory files
This enables companies to introduce AI securely - with clear guidelines, auditability and controlled access rights.
The use of AI is a must these days - but...
Why traditional security approaches are no longer sufficient
Agentic AI is increasingly behaving like software with its own ability to act.
An AI agent can:
-
Open and analyze files
-
Launch tools and scripts
-
Perform browser actions
- Contact external services
-
Access other systems via MCP servers
The problem is that many of these activities take place outside of traditional security models.
AI agents therefore need the same security guardrails as applications and users - only more dynamic.
Stay in control with DriveLock
Visibility before control
The first step is transparency.
DriveLock helps companies to recognize
-
Which AI tools are installed on endpoints
Which users are using AI agents
Which skills and plugins are active
Which MCP servers have been integrated
Which processes, files or network targets are being used
This creates a reliable basis for secure AI governance for the first time.
Using agentic AI safely - instead of blocking AI
Controlled AI use with clear guardrails
DriveLock supports companies in using AI productively and securely at the same time.
AI Tool & Skill Control
Check which AI tools, plugins, skills or MCP servers may be used.
AI ring fencing
Limit the access of AI agents to files, folders, processes and network targets.
Policy Packs
Use preconfigured policies for common AI applications such as ChatGPT Desktop, Claude Desktop, Copilot or Cursor.
Controlled self-service
Allow users specific approvals - including time limit, authorizations and audit trail.
Monitoring-to-policy
Derive security guidelines directly from real usage behavior.
No obligation, no commitment.
Now without obligation
Test 30 days free of charge.
See for yourself. Test the application scenarios that are important for your company.
Test today - HYPERSECURE tomorrow!
No obligation, no commitment.
Now without obligation
Test 30 days free of charge.
See for yourself. Test the application scenarios that are important for your company.
Test today - HYPERSECURE tomorrow!
The pragmatic approach to secure AI adoption
Many providers promise complete protection against all AI risks.
DriveLock takes a practical approach:
1. create visibility
2. understanding risks
3. define guidelines
4. release AI in a controlled manner
5. make usage auditable
1. create visibility
2. understanding risks
3. define guidelines
4. release AI in a controlled manner
5. make usage auditable














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