AI Security Assessment & Consulting for Business
Before expanding AI use, establish which tools staff use, what information they can reach and who owns the decisions those tools support. NetSys reviews the agreed AI environment and its available evidence, including Microsoft 365 Copilot permissions and custom-agent access where relevant, then defines practical priorities for the next step.
The short answer
AI security consulting reviews how selected AI tools interact with business data, identities and workflows. A NetSys AI security assessment can examine approved tools, available usage evidence, data-handling settings, access permissions and agent actions within an agreed scope. A Copilot security assessment adds attention to Microsoft 365 sharing and permission boundaries. The deliverable is a findings and action plan with evidence, limitations and owners; an assessment cannot guarantee discovery of every unapproved use or prevention of every data exposure.
A tool that drafts from a document and an agent that changes a customer record need different controls. List what the system may read, what it may change and which decisions require a person. Identify the business owner, account type, connected systems and the information staff may submit. That creates a useful scope before choosing a policy or technical control.
Historical visibility is a separate question. Logs, consent records, managed-browser information and staff interviews can help identify use, but their availability and detail vary. A visited domain does not prove which content was submitted. Record the evidence and gaps rather than presenting a complete history that the systems cannot establish.
Review access, test agreed scenarios and prioritize changes
We define the tools, accounts, workflows and evidence to review, with authorized access and any testing boundaries agreed first. The assessment records findings, affected systems and the evidence supporting each conclusion. Representative scenarios can test permissions, agent actions or approval paths where included. Remediation, implementation and repeat reviews are scoped separately so a recommendation is not mistaken for a control already deployed.
What an AI security assessment can cover
Tools and usage evidence
Distinguish what is known from what still needs investigation.
- Approved AI services, embedded features, account types and business owners
- Available sign-in, consent, browser, subscription and usage records
- Staff workflows and restrictions on the information submitted
- Evidence gaps and any additional access or review required
Copilot permissions and sharing
AI makes existing access decisions more important to understand.
- Microsoft 365 data sources and the users or groups with access
- Broad sharing, guest access and content ownership in the agreed review scope
- Available governance controls checked against licensing and configuration
- Prioritized access corrections with content-owner approval and validation
Agent actions and test boundaries
Review what the tool can do as well as what it can answer.
- Connected applications, credentials, tool permissions and authorized actions
- Human approvals, failure behavior and conditions that should stop a run
- Bounded misuse or prompt-injection scenarios where explicitly authorized
- Test findings and residual limitations without claiming a universal protection result
Data handling and an action plan
Make findings usable by the people responsible for the workflow.
- Vendor terms and available retention, sharing and training settings for the actual product and account
- Policy and staff-guidance recommendations tied to real tasks
- A prioritized findings record with owners, dependencies and proposed validation
- Separate scope for remediation, rollout support or continuing review
An assessment with clear evidence and follow-up ownership
Fifteen minutes with a NetSys engineer, not a salesperson, and you will know where your ai security assessment stands and what it would take to fix it. Call 845-203-3914 or request a call to discuss the scope and next steps.
Who does the work: meet the NetSys team on our About page.
- Review scope tied to the tools and actions the business actually uses
- Findings separated from assumptions and unavailable historical evidence
- Copilot permissions considered alongside content-owner responsibilities
- A practical action plan that distinguishes recommendations from implemented controls
Where we deliver AI Security Assessment
AI Security Assessment in New York City · AI Security Assessment in Greenwich, CT · AI Security Assessment in Jersey City, NJ · AI Security Assessment in Palo Alto, CA. We also support clients remotely wherever their systems run. See all locations and service areas.
AI Security Assessment FAQs
What does a Copilot security assessment examine?
It reviews the agreed Microsoft 365 content, sharing and permissions that affect what users can access through Copilot, alongside available governance settings and licensing. Copilot does not simply grant everyone access to all tenant data, but overly broad permissions can make sensitive information easier to surface. The review needs content owners to approve changes and validate that necessary work still functions.
Can you identify everything employees have put into AI tools?
No. Discovery depends on available logs, managed-device visibility, account access and staff information. Some records indicate that a service was used without revealing the content submitted. We document what the evidence supports and where visibility ends. Personal accounts and unmanaged devices may require a different policy or investigation approach.
Does prompt-injection testing prove an AI agent is secure?
No. A bounded test can reveal weaknesses in the scenarios examined; it cannot establish that every future input or attack will fail. Define the agent actions, permissions, approval requirements and stopping conditions first. Findings should identify the test coverage and residual risks, with remediation and retesting agreed separately.
Is the free AI security questionnaire a technical assessment?
The website questionnaire is an initial self-check based on the answers provided. It does not inspect your tenant, verify a control or test an agent. A technical engagement requires agreed systems, evidence, access and deliverables. Use the self-check to organize concerns, then scope the review needed to investigate them.
What affects AI security consulting cost?
The scope depends on tools and workflows, users and data sources, available evidence, tenant complexity and the depth of authorized testing. Include report, workshop and validation requirements in the quote. Remediation, policy rollout, product licensing and ongoing reviews should be identified separately rather than assumed included in the initial assessment.
Sources and technical references
Guides on this topic
- Plan a Copilot rollout after readiness decisions
- Review data-protection control requirements
- Define permissions and approvals for an AI agent
- Scope a workflow and its human decisions
- Use the initial AI security self-check
- Prepare practical AI usage guidance
- AI governance consulting
- ChatGPT HIPAA compliance
- AI automation for Greenwich, CT firms
Related services
Bring the AI tools, data sources and actions you need reviewed.
Tell us which products and workflows are in use, your main concern and the evidence available. We will define access, testing boundaries and the assessment deliverables before proposing the engagement.