Generative AI Adoption
- JANUARY 29TH, 2024
- 1min read
Introduction
Gen AI is dominating the digital space. Individuals and organisations are rapidly adopting AI. Successful adoption of AI has the potential to reduce business risk, lower costs, and increase productivity. Every new technology also presents new threats and challenges; AI is no exception. OpenAI breach and Microsoft Copilot are proof that caution is also required with the adoption of Generative AI.
Common Gen AI Attack Vectors
- Deep Fakes: Malicious actors create realistic fake content to manipulate facts, defraud, and harm individuals/organisations.
- Sophisticated Phishing: Gen AI crafts advanced phishing attacks to steal sensitive information.
- AI Hallucination: Spread of false AI-generated information damages reputations and trust.
- More Complex Malware: Gen AI creates harder-to-detect malware.
- Data Exfiltration: AI tools can exfiltrate confidential data without proper security controls.
Responsible Gen AI Adoption
- Prioritise Data Security: Implement robust data protection to prevent breaches.
- Know Your Vendors: Investigate AI tools for security clearance, certifications, and reputation.
- Legal Compliance: Review contractual terms (SLAs, data ownership, termination clauses) before adoption.
- Intellectual Property (IP) Ownership: Clarify IP rights for AI solutions and retain customisation rights.
- Security Testing: Conduct vulnerability/penetration testing to reduce risks.
- Policies: Create clear AI usage guidelines for team alignment.
- Reinforcement Learning and Human Feedback: Refine AI behaviors with human feedback to align with human values.
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