Why AI Services From Your Security Provider?
Your security team already monitors your endpoints, email, and network. They're the natural team to govern AI tool adoption too — because every AI risk is a data security risk. Shadow AI is a data leakage problem. AI-powered phishing is a detection problem. Copilot misconfiguration is an access control problem. When security and AI governance live under one roof, nothing falls through the cracks.
The Problem
Employees are adopting AI tools faster than most organizations can govern them — often with company data, without authorization, and without guardrails. Shadow AI is the fastest-growing security blind spot in 2026.
At the same time, AI-powered phishing, deepfake fraud, and automated attacks are getting more sophisticated every quarter. Your security stack needs to defend against AI-driven threats while your governance framework manages how your own team uses AI safely.
What We Do
Shadow AI Assessment
We catalog every AI tool your organization is using — authorized or not. We identify data exposure risks, evaluate vendor security postures, and deliver a governance roadmap with clear policies for safe AI adoption.
Deliverable: Written assessment report + AI acceptable use policy
Typical engagement: 2–4 weeks, fixed fee
Best for: Organizations deploying Microsoft Copilot, allowing ChatGPT/Claude, or unsure what AI tools employees are using
Secure AI Deployment
Adopting Copilot, building internal AI workflows, or integrating AI into client-facing products? We handle the security architecture: data classification, access controls, model governance, API security, and compliance alignment.
Deliverable: Architecture review + implementation support
Typical engagement: Project-based, scoped to deployment
Best for: Biotech/pharma with regulatory AI requirements, professional services firms adopting Copilot, any organization building AI agents or workflows
AI-Powered Security Operations
Our security stack uses machine learning and AI-driven detection to triage alerts, contain threats automatically, and reduce response time from hours to minutes. Powered by Blackpoint Cyber's AI detection engine and CrowdStrike's behavioral analysis.
Built into every Net.Protect tier.
See plans →How We Approach AI
We practice what we advise. Bayport runs AI-assisted workflows across strategy, security operations, document generation, and market analysis — all through enterprise-grade platforms configured for zero data retention.
No customer data in training sets.
Every AI platform we use is configured so that no client data is used to train models. Period.
Privacy-first architecture.
Sensitive data is anonymized before it reaches any AI platform. For the most sensitive work, we run models locally — nothing leaves our environment.
Governed and auditable.
We maintain internal AI acceptable use policies, vendor security reviews, and access controls. The same rigor we bring to our clients' AI governance, we apply to our own.
Multi-platform by design.
We use purpose-selected AI tools for different functions — strategic analysis, research, document review, security automation — choosing the right tool for each task rather than forcing everything through one platform.
Who This Is For
Organizations deploying Microsoft 365 Copilot or Google Workspace AI features
Biotech and pharma companies with regulatory requirements around AI-generated outputs
Professional services firms where AI touches client data
Any business that isn't sure what AI tools employees are already using
Frequently Asked Questions
Yes. Shadow AI assessments and governance policy development are available independently from Net.Protect. Many organizations start with an assessment and later add managed security as they formalize their security program.
Yes. We assess your data environment, permission structures, and sensitivity classifications before Copilot goes live. This includes reviewing SharePoint and OneDrive access controls, identifying overshared data, and configuring Copilot policies to prevent data leakage.
Shadow AI assessments are fixed-fee engagements typically ranging from $5,000–$15,000 depending on organization size and complexity. The assessment includes a written report, risk prioritization, and an AI acceptable use policy.
No. AI consulting is available as a standalone engagement. However, clients with Net.Protect benefit from integrated security monitoring of their AI infrastructure.