Contextualize AI Security Threats across AIoT Cycle. Gain perspectives and high-level recommendations on AI Security.
Objective of the whitepaper
The security of AI is a crucial lever for organization’s to attain an industry-leading position across business sectors. Addressing the security needs can be viewed from multiple perspectives such as governance, organizational, technological, and business entities. Understanding the basic AI Security problems and the impact on the organization is necessary to recognize the gaps and realize the needs. This whitepaper covers a wide range of topics in AI Security.
Understand AI Security
To introduce AI Security, adversarial robustness and its importance in a novel and ever-emerging threat landscape
Contextualize AI Security
To contextualize AI Security threats for AI/ML lifecycle and understand perspectives on AI Security from research community, businesses and regulators
Secure your AI Systems
To propose high-level recommendations for an organization to enhance AI Security of AI/ML assets
What does it cover?
AI Security and its importance, security threats across the AI Model lifecycle, perspectives on AI security from research, businesses and regulators and high-level recommendations for an organization leveraging AI
Who should read it?
AI-first Business Owners, Cybersecurity and Cloud Platform Players, Digital and AIoT strategy owners, AI Product Teams - Architects, Developers, Security Engineers and Researchers; Quality Teams, Auditors, Compliance and Risk Officers
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