Address Security and Privacy Risks for Generative AI
AI risk mitigation starts with an acceptable use policy.
Unlock This BlueprintBlueprint Contents:
1. Address Security and Privacy Risks for Generative AI Deck – A guide to help organizations assess risks, determine acceptable use, and plan for data security improvements.
This research will help you assess the risks associated with your proposed generative AI use case and determine a corresponding acceptable use policy for generative AI and a plan to improve organizational data security. This will involve assessing the suitability of AI for your use case and assessing the risks to data confidentiality, integrity, and the AI system.
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Address Security and Privacy Risks for Generative AI Storyboard
2. Generative AI Risk Map – A tool to help organizations determine their data security risks and recommended policy statements for using generative AI.
This tool will help you determine whether your generative AI use case carries risks to data confidentiality, data integrity, the AI system, or all three. It will provide recommended policy statements to be used in Info-Tech's AI Security Policy Template.
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Generative AI Risk Map
3. AI Security Policy Template – A policy template covering all the major areas of AI-related security, including acceptable use.
This template can be used on its own or in conjunction with the Generative AI Risk Map, which will help you determine which policy statements are relevant for your organization. It addresses data confidentiality, data integrity, acceptable use, and more technical IT security controls.
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AI Security Policy Template
Your Challenge
As organizations adopt generative AI use cases, they are confronted with important security and privacy risks, including:
- Governing enterprise use of generative AI to maximize benefits and minimize risks.
- Protecting data confidentiality and integrity when using generative AI systems.
- Responding to a rapidly evolving threat landscape.
Our Advice
Critical Insight
Start with what you can control. Using generative AI involves several difficult data security risks, but by determining which risks apply to you and implementing governance to manage them, you can limit the most pressing issues and plan to address larger, systemic issues with your data security program.
Impact and Result
- Determine which risks apply to your generative AI use cases.
- Draft an AI security policy to address applicable risks.
- Plan to implement necessary improvements to your data security posture.
Member Testimonials
After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.
10.0/10
Overall Impact
$40,496
Average $ Saved
18
Average Days Saved
Client
Experience
Impact
$ Saved
Days Saved
New Mexico Department of Children Youth and Families
Guided Implementation
10/10
$137K
55
The Pittsburgh Water and Sewer Authority
Guided Implementation
10/10
N/A
5
Very focused, practical discussion about how we can integrate security into our AI plans.
Leeds Beckett University
Guided Implementation
10/10
$15,390
20
Jon Nelson spoke eloquenltly and with great insight on complex topic of AI, he made it real and immediately grasped my approach, he signposted impo... Read More
City Of Chesapeake
Guided Implementation
10/10
$2,740
5
Jon provided a lot of value on the aspects of AI security.
Delta Dental Plan of New Jersey
Guided Implementation
10/10
$6,856
5
The ability for Jon to present his research in a condensed format save me time and research.