Focus InfoWorks
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Flagship offering

Adopt AI with governance, security and confidence.

Focus InfoWorks helps teams reduce shadow AI, protect sensitive data, evaluate LLM risk and establish responsible AI operating models.

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Focus AI Security Framework

A lifecycle for secure, governed and responsible AI adoption.

The framework addresses shadow AI, LLM security, prompt injection, sensitive data, identity, compliance and executive oversight.

01

Discover AI Usage

Identify approved and unapproved AI usage across teams and workflows.

Typical activities
Interviews, tool inventory, usage mapping and data flow review.
Deliverables
AI usage inventory and shadow AI findings.
Business outcomes
Executive visibility into how AI is already being used.
02

Assess Risks

Evaluate business, technical, privacy, security and compliance exposure.

Typical activities
Risk workshops, LLM review, prompt abuse scenarios and data exposure analysis.
Deliverables
AI risk matrix and control gap report.
Business outcomes
Prioritized risk reduction without blocking adoption.
03

Define Governance

Create policy, ownership, review process and executive oversight.

Typical activities
Governance model design, policy drafting and approval workflow definition.
Deliverables
AI governance framework and executive decision model.
Business outcomes
Clear accountability and consistent enterprise policy.
04

Secure Platforms

Protect AI platforms, integrations, identities, prompts and sensitive data.

Typical activities
Access review, platform hardening, logging design and integration review.
Deliverables
Security recommendations and platform control plan.
Business outcomes
Lower data leakage and platform abuse risk.
05

Enable Responsible Adoption

Help teams use AI safely with guidance, training and guardrails.

Typical activities
Workshops, use-case reviews, employee guidance and adoption planning.
Deliverables
Responsible AI playbook and enablement plan.
Business outcomes
Faster adoption with better governance.
06

Continuous Improvement

Monitor risk, refine controls and update governance as AI usage evolves.

Typical activities
Recurring reviews, metrics, incident lessons and policy updates.
Deliverables
Executive dashboard and improvement backlog.
Business outcomes
Sustained AI governance and resilience.

AI consulting products

Defined AI security engagements for leadership and technical teams.

AI Security Readiness Assessment

A focused review of AI usage, governance and security posture.

Business challenge
AI adoption is moving faster than policy, controls and executive visibility.
Scope
AI inventory, data exposure, governance maturity, platform risk and roadmap.
Deliverables
Readiness report, risk matrix, governance recommendations and prioritized action plan.
Timeline
2-4 weeks
Ideal customer
Organizations adopting enterprise AI platforms.
Business outcomes
Secure AI adoption, better governance and reduced data exposure.
Request an AI Security Assessment

Executive AI Strategy Workshop

A facilitated session to align leadership on AI opportunities, risks and governance.

Business challenge
Executives need clarity before AI adoption becomes fragmented.
Scope
Use cases, risk appetite, governance model, platform choices and next steps.
Deliverables
Workshop brief, decision log, governance themes and 90-day action plan.
Timeline
1-2 weeks
Ideal customer
Leadership teams adopting AI.
Business outcomes
Faster alignment and responsible AI adoption.
Schedule an AI Strategy Workshop

Technology Due Diligence

Independent technology, security and architecture review for strategic decisions.

Business challenge
Leadership needs objective insight before investment, acquisition or major platform decisions.
Scope
Architecture, risk, operating maturity, platform dependencies and delivery readiness.
Deliverables
Due diligence report, risk register and executive decision brief.
Timeline
2-4 weeks
Ideal customer
Executives, investors and boards.
Business outcomes
Better decisions and reduced strategic uncertainty.
Talk to an Executive Advisor

Business deliverables

Executives receive concrete outputs they can use to decide, align and execute.

Executive SummaryTechnical AssessmentRisk MatrixArchitecture DiagramsImplementation RoadmapGovernance FrameworkSecurity RecommendationsPrioritized Action PlanBoard PresentationExecutive Dashboard

Executive outcomes

The goal is measurable business progress, not technology activity.

Reduced RiskImproved ResilienceExecutive VisibilityFaster Digital TransformationSecure AI AdoptionBetter User ExperienceReduced Operational ComplexityImproved GovernanceTechnology AlignmentBusiness Agility

Executive downloads

AI Security resources aligned to Focus proprietary methodology.

Checklist

AI Governance Checklist

A leadership checklist for safe AI adoption, governance ownership and data exposure review.

Audience: AI, security, legal and privacy leaders

Format: 15-minute checklist

Download AI Governance Checklist Coming soon

Enterprise AI risk

Secure AI adoption requires governance, architecture and practical controls.

Who needs this

Organizations adopting ChatGPT Enterprise, Microsoft Copilot, Gemini, Claude, GitHub Copilot or internal LLM platforms.

Business risks

Shadow AI, sensitive data leakage, unclear accountability, regulatory exposure and inconsistent employee usage.

Technical risks

Prompt injection, data exposure, insecure integrations, weak access controls, insufficient logging and unmanaged model interactions.

Governance considerations

Policy, approved use cases, data classification, third-party risk, model oversight, auditability and incident response.

AI security services

Focused offerings for safe and responsible AI adoption.

AI Security Readiness Assessment

Evaluate current AI usage, governance maturity, data exposure and control gaps.

Secure AI Adoption

Define guardrails, access models, approved workflows and secure implementation patterns.

AI Governance

Build policies, operating models, risk ownership and review processes for enterprise AI.

Shadow AI Assessment

Identify unmanaged AI usage and prioritize remediation without blocking innovation.

LLM Security Review

Review prompt flows, retrieval patterns, integrations, logging, data handling and abuse scenarios.

AI Risk Assessment

Map business, technical and compliance risks across AI-enabled processes.

Responsible AI

Align security, ethics, privacy, transparency and business accountability.

AI Executive Workshops

Help leadership teams understand risk, policy choices and practical adoption paths.

Build an AI program your business can trust.

Start with an AI Security Readiness Assessment or executive workshop.

Schedule an AI Security Workshop