I will provide a comprehensive framework for ai adoption planning
London based infosec cybersec cyber risk practitioner CCSP CISSP CRISC
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About this Gig
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The AI adoption framework is specifically designed to proactively address safeguarding concerns in relation to AI adoption.
With the rapid evolving nature of this technology there are daily headlines of the risks that come with adoption. To manage this evolving threat landscape a comprehensive view of the threats is necessary. To this end, the AI adoption framework enables this by having proactively documented 50 threat vectors and mapping them across the following dimensions, complete with pre-AI precedents, AI amplification insights and defensive guidance;
- Deployment Context (e.g. build, fine-tune, and/or consume)
- Lifecycle phase (the complete AI lifecycle consists of design, development, deployment, maintenance and end-of-life phases)
- Impact domain (data, model, infrastructure, supply chain, output & behaviour, human & governance)
- Key Concern (confidentiality, integrity, availability and influence)
- AI System Type (GenAI, PredAI, Agentic)
- Reference (authoritative industry guidance)
The framework provides a holistic view of threat vectors, accelerating adoption planning by proactively addressing concerns from a range of internal and external stakeholders.
Business type:
Corporates
•
SMBs
Industry:
Financial services
•
Telecommunications
Clients I’ve worked with
HSBC
Investment Banking
- Developing controls across network and endpoint protection space in collaboration with control owners, risk management and broader business stakeholders − Implementing controls in alignment with bank's risk profile, creating formal artefacts to communicate control objectives and developing control indicators to determine control coverage and effectiveness
Sep 2021
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FAQ
What does the framework contain?
This framework is grounded in authoritative sources and contains 50 threat vectors with defensive guidance, mapped to the AI lifecycle, AI system type, Impact domain, Key Concern, and deployment context
What is the value of this framework to my AI adoption work?
The framework is designed to answer a single question; what must the organisation have in place before this threat vector becomes a business impacting problem? For GenAI, PredAI, or Agentic adoption, this framework enables a comprehensive risk assessment to support your planning
How is this different from other publically available frameworks?
The expansive mapping to different dimensions is the key difference. You will learn which threat vectors apply specifically for your deployment context - whether the vector impacts confidentiality, integrity, availability or influence. The last being an extension to conventional security thinking

