Bayport Networks provides AI governance consulting and shadow AI risk assessments for Bay Area businesses. Services include detecting unsanctioned AI tool usage, securing Microsoft Copilot deployments, auditing automation pipelines, and building AI governance policies for regulatory compliance.
AI adoption is accelerating. Is your business ready?
65% of organizations now use generative AI. Copilot adoption hit 41% among M365 customers. The question isn't whether your team is using AI — it's whether they're using it safely.
Microsoft Copilot & Productivity AI
Copilot has access to everything your employees can access — including sensitive files, client data, and financials. We run data classification and sensitivity labeling before Copilot goes live, so AI only reaches what it should.
AI Agents & Workflow Automation
Teams are building agents and automations with Power Automate, n8n, and Make that act on production data. We design the security architecture — access controls, API governance, credential management, and monitoring.
AI Code & Content Generation
Engineering teams use Claude Code, GitHub Copilot, Cursor, and Codex. Marketing uses ChatGPT and Claude. Every tool touches your codebase, APIs, or data — often with broad access and no audit trail. We define what each tool can access and implement scoped API keys, output logging, and guardrails engineers will actually follow.
71% use AI for content creation · 41% deployed Copilot · Only 52% have AI governance policies
McKinsey, Microsoft, 2026
Two sides of AI security
Most businesses face both challenges. Pick the one that's most urgent, or talk to us about both.
Defend Against AI-Powered Threats
Deepfake phishing, adaptive malware, AI-enhanced social engineering — the threat landscape has changed. Net.Protect uses AI-driven detection to identify and contain these attacks before they reach your team.
We handle both.
Assess. Detect. Govern.
How We Secure Your AI Environment
Assess Your Exposure
We map every AI tool in use across your organization, identify where company data is flowing to external models, and score your risk exposure by department. You get a clear picture of what your team is actually doing with AI today.
Deliverable: AI Exposure Report
Detect Unsanctioned Usage
We deploy endpoint monitoring and network analysis to continuously identify new AI tools as employees adopt them. Shadow AI doesn't stay hidden. We surface it in real time so you can make informed decisions about what to allow, restrict, or block.
Deliverable: Ongoing Shadow AI Alerts
Govern with Enforceable Policy
We help you build and enforce an AI governance policy that your team can actually follow. This includes approved tool lists, data handling rules, acceptable use guidelines, and the technical controls to enforce them. The policy is documented, auditable, and satisfies compliance and cyber insurance requirements.
Deliverable: AI Governance Playbook
The AI Risks We See Every Week
These aren't hypothetical scenarios. These are the exposures we find in Bay Area businesses right now.
Copilot Sees Everything Your Users Can See
Microsoft Copilot surfaces any data the user has access to across SharePoint, OneDrive, and Teams. If your permissions are overly broad — and in most organizations, they are — Copilot will expose sensitive financial, HR, and legal documents to employees who were never meant to see them. We audit and lock down your Microsoft 365 permissions before Copilot goes live.
Unauthorized internal data exposure. Compliance violations. Insurance liability.
Your Team Is Already Using AI You Don't Know About
Employees paste confidential data into public AI tools to save time. Client lists, financial projections, source code, patient records. Some of these tools retain or train on user inputs, meaning your proprietary data can surface in outputs for other users. We detect unsanctioned AI usage and route your team to secure, approved alternatives.
Intellectual property loss. Regulatory fines under CCPA and HIPAA. Client trust.
Your Automations Move Data Without Guardrails
Your team built automations that move data between systems — syncing CRMs, generating reports, triggering workflows. If those automations aren't secured, they're an open door. Hardcoded API keys, unauthenticated connections, and unmonitored data flows create vulnerabilities that traditional security tools miss entirely. We audit your automation pipelines to close the gaps.
Credential exposure. Unmonitored data transit. Breach vectors invisible to standard security tools.
The Secure Adoption Pathway
How We Enable Safe AI Adoption
Vet the Tools
Not all AI tools are equal. We evaluate each platform your team wants to use against security, privacy, and compliance criteria. We assess data retention policies, training data practices, access controls, and integration risks specific to your environment.
Deliverable: Approved AI Roster
Isolate the Data
Before any AI tool touches company data, we architect the boundaries. This means configuring Microsoft 365 permissions before Copilot deployment, setting up dedicated environments for development AI tools, and ensuring automation workflows can't leak credentials or sensitive data.
Deliverable: Data Isolation Architecture
Enable Your Team
Once the guardrails are in place, we help your team adopt AI tools confidently. This includes training on approved tools, documented usage guidelines, and ongoing monitoring to catch policy drift before it becomes a security incident.
Deliverable: AI Enablement Runbook
What You Get: The Shadow AI Risk Assessment
A sample of what we deliver after every AI governance engagement.
Example Deliverable
Shadow AI Risk Assessment
Prepared for [Client Name]
Table of Contents
- 1Executive Summary
- 2Unsanctioned AI Application Discovery
- 3High-Risk Data Flow Analysis
- 4Risk Score by Department
- 5Endpoint Telemetry Findings
- 6Policy Gap Analysis
- 7Remediation Roadmap with Timeline
Example Deliverable
Approved AI Roster
Prepared for [Client Name]
Table of Contents
- 1Platform Security Evaluations
- 2Data Retention and Training Policies
- 3Permission and Access Requirements
- 4Integration Risk Matrix
- 5Recommended Configuration
- 6Employee Rollout Plan
AI Security & Governance Services
Shadow AI Assessment
We catalog every AI tool your organization is using, identify data exposure risks, 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
AI Readiness & Data Classification
Your data needs to be classified before AI tools can touch it safely. We identify sensitive information across your environment and apply sensitivity labels, access controls, and DLP policies.
Deliverable: Data classification framework + sensitivity labeling implementation
Typical engagement: 4–8 weeks, scoped to environment size
Best for: Organizations preparing for Microsoft Copilot deployment, companies handling regulated data (HIPAA, CCPA), or any business that wants to adopt AI without exposing sensitive information
Secure AI Deployment
Adopting Copilot, building AI workflows, or integrating AI into products? We handle the security architecture: 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 AI-driven detection to triage alerts, contain threats automatically, and reduce response time from hours to minutes.
Built into every Net.Protect tier.
See Net.Protect Plans →Does this sound familiar?
Deploying Microsoft Copilot — Data classification and sensitivity labels first.
Using ChatGPT, Claude, or other AI tools without a policy — Shadow AI assessment and acceptable use framework.
Regulated industry (healthcare, biotech, finance) — AI governance aligned to HIPAA, SOC 2, or CCPA.
Building AI agents or custom automations — API governance, credential management, access controls.
Engineering teams on Copilot, Cursor, Claude Code, or Codex — Scoped access, code review policies, no credentials in prompts.
Automating with n8n, Make, or Power Automate — Workflow monitoring and production data guardrails.
Our methodology
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.
What are the risks of shadow AI in the workplace?
Shadow AI occurs when employees use unsanctioned artificial intelligence tools — such as public ChatGPT, Claude, or Gemini — with company data. This creates risks including intellectual property leakage, regulatory violations, and cyber insurance denial. Most public AI models may train on or retain user-provided inputs, meaning confidential business data submitted by one employee can surface in outputs for other users. California businesses face additional exposure under CCPA and CPRA, where unauthorized data processing can trigger regulatory fines and litigation.
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.
A shadow AI risk assessment identifies every unsanctioned AI tool being used within your organization, maps how company data flows to those tools, scores the risk level of each, and provides a remediation roadmap with approved alternatives.
Microsoft Copilot surfaces any data the user has access to through Microsoft 365. If your SharePoint, OneDrive, or Teams permissions are overly broad, Copilot can expose sensitive financial, HR, or legal documents to unauthorized employees. A permissions audit is essential before any Copilot deployment.
Bayport follows a three-phase approach: Assess your current AI tool usage and data exposure, Detect unsanctioned tools through endpoint monitoring and network analysis, and Govern with enforceable policies, approved tool lists, and ongoing monitoring.