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Consulting

If you want strategic guidance on AI security without hiring a full-time team, choose our consulting because we combine Harvard Kennedy School policy expertise with Army cyber operations experience to build programs that satisfy both regulators and adversaries won't easily defeat.

How Consulting Works

We embed with your team to understand your AI initiatives, regulatory obligations, and risk tolerance. Then we build tailored governance frameworks, technical controls, and operational procedures.

Typical engagement flow:

  1. Discovery: Interview stakeholders, inventory AI systems, document current state
  2. Gap analysis: Map against frameworks (NIST AI RMF, EU AI Act, internal policies)
  3. Roadmap development: Prioritized recommendations with effort estimates
  4. Implementation support: Hands-on help building what we recommend

What You Get

  • • AI system inventory and risk assessment
  • • Gap analysis against relevant frameworks
  • • Custom governance policies and procedures
  • • Implementation roadmap with prioritization
  • • Staff training materials
  • • Board-ready presentation on AI risk posture

Who It's For

  • • Organizations adopting AI without dedicated AI security staff
  • • Compliance teams preparing for AI-specific regulations
  • • CISOs adding AI to their risk management programs
  • • Startups seeking enterprise/government customers

Limitations

  • • Advisory only: we help design, you implement
  • • Not a substitute for legal counsel on regulatory matters
  • • Does not include technical penetration testing (see Moyo)

Consulting Services Comparison

Deliverable Quick Start Program Build Retainer
AI system inventory On request
Framework gap analysis On request
Custom policies Template-based Full custom As needed
Implementation roadmap
Staff training Add-on
Board presentation Add-on
Ongoing advisory 30 days 90 days Continuous

Generative AI Optimization (GEO)

The way users find information is changing. When someone asks an LLM "What's the best AI security company?", will your organization appear in the response? Generative AI Optimization ensures your brand, products, and expertise are visible when AI assistants answer questions in your domain.

Our GEO process:

  1. Audit current LLM visibility across GPT-4, Claude, Gemini, and Perplexity
  2. Analyze competitor presence in AI-generated responses
  3. Identify content gaps and citation opportunities
  4. Develop content strategy for AI discoverability
  5. Monitor and report on visibility changes

GEO Deliverables

  • • Baseline visibility audit (50+ relevant queries)
  • • Competitor analysis report
  • • Content recommendations with specific examples
  • • llms.txt and structured data implementation
  • • Monthly visibility tracking dashboard

Frequently Asked Questions

How do I build an AI security program from scratch?

Start with inventory (what AI systems exist?), then risk assessment (what could go wrong?), then controls (how do we prevent/detect issues?). Our Program Build engagement walks you through each phase with templates, examples, and hands-on guidance.

What AI regulations should my company comply with?

Depends on your industry and geography. US federal contractors: NIST AI RMF. EU operations: EU AI Act by August 2026. Healthcare: HIPAA + FDA guidance. Financial: SEC cyber rules + model risk guidance. We map your situation to applicable requirements.

How do I convince my board that AI security matters?

Frame it in business terms: liability exposure from AI-generated harm, regulatory fines, competitive intelligence leakage, reputational damage. Our board presentation includes industry-specific examples and quantified risk scenarios.

What's the ROI of AI governance?

Avoiding one material incident (regulatory fine, breach, PR crisis) typically exceeds 10x annual governance investment. Additionally, mature AI governance is increasingly required to win enterprise/government contracts. We help you calculate your specific ROI case.

How do I get my company to show up in ChatGPT responses?

LLMs draw from web content, citations, and structured data. Our GEO service optimizes your content for LLM training pipelines: authoritative backlinks, structured schemas, llms.txt files, and content patterns that models are more likely to cite.

Do you help with NIST AI RMF implementation?

Yes. We've mapped NIST AI RMF to practical controls for each function (Govern, Map, Measure, Manage). Our Program Build includes a complete RMF gap analysis and implementation roadmap tailored to your organization's AI risk profile.

Related Articles

Policy and strategy insights from our blog:

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Every organization's AI journey is different. Schedule a free 30-minute call to discuss your situation and how we might help.

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