Solutions
Let every team use AI agents. Start from the problem in front of you.
Each solution starts from a risk or a rollout, shows what changes with Signals Corps, and links to a worked example.
Solutions
By risk
Start from the risk you want to reduce.
Shadow AI
See the AI agents nobody approved. On every device.
Malicious agent components
Check each skill before your team trusts it. Block the bad ones on every device.
Prompt injection
Stop the actions injected instructions ask for. Before they run.
Data leaks
Stop agents leaking secrets and personal data. Before it leaves the device.
Risky agent actions
Put an approval in front of risky commands. Before anything is deleted.
Agent access
See which identities each agent can use. On every device.
Solutions
By initiative
Start from the program you're running.
Roll out AI agents
Say yes to AI agents in every team. Keep the controls you need.
Reduce your attack surface
Fewer agents, skills, and connectors to worry about. The ones you chose.
Enforce your AI policy
Your AI policy, enforced. On every agent.
Compliance and audits
Answer the AI questions regulators and auditors ask. With evidence.
Third-party access
Let outside teams use agents. On your terms.
Example case studies
See how teams roll it out, step by step.
Each example follows a fictional company through its first weeks. The numbers come from a modelled fleet.
A 300-person regulated fintech
How a regulated fintech said yes to Claude Code for 140 engineers, with approvals on the riskiest actions
- Devices
- 300 devices
- Device management
- Jamf
- First install to whole group
- 4 weeks
A 140-person software company
How a one-person IT team found Claude in sales, finance, and marketing in three days
- Devices
- 140 devices
- Device management
- Mosyle
- First install to whole fleet
- 3 days
A 1,200-person SaaS company
How a 1,200-person SaaS company found a malicious skill on 23 devices and blocked it within 40 minutes
- Devices
- 1,200 devices
- Device management
- Microsoft Intune
- Report to block on all affected devices
- 40 minutes
A 600-person software consultancy
How a 600-person consultancy stopped coding agents from reading client secrets on 210 devices
- Devices
- 210 devices that run coding agents
- Device management
- Iru
- Log only to blocking
- 4 weeks
A 450-person B2B software company in Germany
How a 450-person company in Germany kept Claude away from Salesforce while its GDPR review ran
- Devices
- 450 devices
- Device management
- Workspace ONE
- From ruling to full inventory
- 3 days