Secure AI
Navigating AI adoption without losing sight of security
The buzz around artificial intelligence (AI) has moved beyond hype, with growing investment as organisations of all sizes seek to harness new capabilities and efficiencies.
But moving too quickly can expose organisations to unintended and costly consequences, from data exposure to misalignment with evolving regulatory expectations.
Taking a deliberate approach that considers your organisation’s context, use cases, and the specific security challenges these technologies introduce should be the foundation setting for any AI adoption processes.
CyberCX’s Secure AI blog series explores the evolution of AI architecture and key adoption risks; the evolving regulatory landscape; designing an effective AI risk mitigation strategy; and offers practical insights and guidance on how organisations can develop a Secure AI Governance Framework that considers all the nuances and risks.
Secure the AI journey
Data
Is sensitive data adequately protected before it’s exposed to AI systems?
Model
Are there controls in place to prevent manipulation, misuse or leakage? Can models be tested safely before deployment?
Users
Do users understand their responsibilities when engaging with AI systems?
Governance
Do current security controls adapt to AI-specific challenges?
Secure AI blog series
Coming soon: Evolution of AI Architecture and Key Adoption Risks
Coming soon: Emerging Regulatory Landscape and Designing an Effective AI Risk Mitigation Strategy
Coming soon: Practical Insights in the Governance of AI
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