AI Security Adopt AI Without Losing Control
AI is only as trustworthy as the data practices behind it. We secure your AI tools, your Copilot rollout, and the data they touch — with the discipline of two decades in banking IT, sized for your business.
What actually goes wrong
AI security failures are rarely exotic. They are ordinary data hygiene problems that AI amplifies at machine speed.
Copilot finds what you forgot
Copilot respects your permissions perfectly — including the over-shared folders nobody cleaned up for years. Day one of Copilot is judgment day for your access rights.
Data walks out through prompts
Customer lists, contracts, and source code pasted into public AI tools leave your perimeter invisibly. No firewall sees it happen.
Vendor AI is your risk too
Your tools quietly added AI features that process your data on someone else's infrastructure. Most contracts were never updated for that.
Responsible AI is a security property
Biased outputs, hallucinated facts in customer communication, AI decisions nobody can explain — reputational incidents are security incidents.
The difference preparation makes
With Gerald AI Security
- Copilot launched on cleaned-up permissions
- DLP policies that cover AI scenarios
- Approved AI tools, securely configured
- An incident runbook before you need it
- Security that enables instead of blocking
Without preparation
- Copilot surfacing files nobody knew were shared
- Data leaving through prompts, invisibly
- Every employee improvising their own tools
- The first AI incident handled in panic
- Blanket bans that quietly get ignored
Banking-grade practices, SMB-sized
Assess your AI attack surface
Where AI touches your data: Copilot scope, tool inventory, permission sprawl, vendor AI exposure. Including a Copilot-readiness check of your M365 permissions.
Fix the foundations
Access rights cleanup, sensitivity labels, Microsoft Purview DLP policies tuned for AI scenarios, Entra ID conditional access. The unglamorous work that makes AI safe.
Secure the AI layer
Copilot deployment with guardrails, approved-tool catalog with secure configurations, monitoring for AI-related data movement, response runbooks for AI incidents.
Keep watch
AI security as part of managed services: monitoring, new-feature reviews as Microsoft ships them, periodic permission audits.
What we secure in practice
Copilot rollouts
Permission cleanup, scoping, and guardrails so day one of Copilot is a win, not an exposure.
Microsoft 365 permissions
The over-shared folders and stale access rights that AI turns from theory into risk.
Public AI tool usage
DLP controls for genuinely sensitive data plus securely configured alternatives people will actually use.
Vendor AI data flows
Where your data goes when your tools' AI features process it — assessed and contained.
Custom AI applications
Security baselines for Azure OpenAI and custom builds: identity, secrets, data paths, logging.
AI output guardrails
Human review points where AI writes to customers — accuracy and reputation protected.
Industry-specific security needs
Financial Services
Core applications:
- • Client-data boundaries
- • Regulator-grade logging
- • Fraud-sensitive AI controls
Business impact:
Banking-grade discipline, fund-sized delivery.
Healthcare
Core applications:
- • Patient-data DLP
- • Vendor AI containment
- • Access reviews
Business impact:
AI assistance without patient-data exposure.
Manufacturing
Core applications:
- • Design & IP protection
- • OT/IT boundaries for AI tools
- • Supplier data controls
Business impact:
Your know-how stays inside the company.
Professional Services
Core applications:
- • Client-file protection in AI workflows
- • Engagement isolation
- • Confidentiality controls
Business impact:
Every client's data treated like your own.
Retail & E-Commerce
Core applications:
- • Customer PII in AI flows
- • Payment-adjacent data boundaries
- • Marketing-AI controls
Business impact:
Personalization without privacy incidents.
Construction & Real Estate
Core applications:
- • Bid and contract confidentiality
- • Document-AI controls
- • Field-team tool policies
Business impact:
Competitive information stays confidential.
What you get
- AI attack-surface assessment with prioritized findings
- Copilot readiness report and permission remediation plan
- Purview DLP policies covering AI usage scenarios
- Secure configuration baseline for approved AI tools
- Responsible-AI guardrails: human review points for customer-facing AI output
- Incident runbook for AI-related data events
Trusted where security is non-negotiable
For an investment fund, we run the complete M365 environment — cybersecurity monitoring, data loss prevention, and tailored AI integrations with VIP support. AI features were introduced without a single DLP exception being weakened, because security came first and AI second.
Our background: migrating a legacy banking application serving 10,000+ investors to Azure with improved resilience and security — the standard we bring to every environment, whatever its size.
What we'll tell you straight
Sometimes the right answer is 'don't enable that feature yet.' If your permission structure isn't ready for Copilot, we'll say so and fix the foundations first — a delayed rollout costs you weeks; a data exposure costs you customers. Security advice you can trust has to include 'no.'
How we can work together
Copilot Readiness Check
Find out what Copilot would expose before Copilot does. Permission analysis with a concrete remediation plan.
- Permission & sharing analysis
- Sensitive-data hotspots
- Remediation plan
- Go/no-go recommendation
Fixed scope — quoted after your free assessment.
AI Security Hardening
Foundations fixed, AI layer secured: from access cleanup to DLP, secure configurations, and runbooks.
- Everything in the Readiness Check
- Access rights cleanup
- Purview DLP for AI scenarios
- Secure tool baseline
- Incident runbook
Fixed scope — quoted after your free assessment.
Managed AI Security
AI security as part of managed services: monitoring, new-feature reviews, periodic audits.
- Continuous monitoring
- Microsoft feature-release reviews
- Periodic permission audits
- Integration with your existing security operations
Fixed scope — quoted after your free assessment.
Frequently Asked Questions
Common questions about AI security for SMBs
Related services & solutions
Know your AI exposure
The free assessment maps where AI touches your data today and what to fix first — concrete, prioritized, and in plain language.