ML Security Whitepaper
Protect Your AI Investments: Download Our Comprehensive ML Security Whitepaper
Objective of the whitepaper
The security of ML algorithms 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 ML 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 ML Security.
Understand ML Security
To introduce ML Security, adversarial robustness and its importance in a novel and ever-emerging threat landscape
Contextualize ML Security
To contextualize ML Security threats for ML model lifecycle and understand perspectives on ML Security from research community, businesses and regulators
Secure your ML Systems
To propose high-level recommendations for an organization to enhance ML models & applications security
FAQs
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
Download the Whitepaper
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