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AI Risk Management: Lakera’s Approach

Dr Roushanak Rahmat in Business AI · 2024-04-10 21:57 · 411 claps · 1.4 min read paywalled
#ai-risk #ai #risk-management #lakera #lakeras-approach
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Wiki topics: ML · Machine Learning AI · AI · General BIZ · Business Strategy

AI Risk Management: Lakera’s Approach

Lakera’s unique approach to AI Risk Management stands as a dedicated strategy addressing the evolving security concerns associated with AI, with a particular focus on vulnerabilities tied to Language Model-based Systems (LLMs). Lakera underscores the necessity of a collective approach to AI security, aligning with global initiatives such as the EU AI Act.

Key Features

The approach targets a spectrum of AI security risks, emphasizing unique challenges posed by LLMs. Lakera has developed Lakera Guard, a specialized tool to fortify applications leveraging large language models. This tool addresses various AI cyber threats, providing organizations with defences against both current and future vulnerabilities associated with AI technologies. Lakera’s commitment to risk mitigation contributes to a secure adoption of AI, offering strategies and tools to navigate the intricate landscape of AI-driven technologies.

Lakera’s approach dives into diverse adversarial machine learning attacks, including:

· Data poisoning

· Membership inference attacks

· Input inference attacks

· Parameter inference attacks

· Input manipulation attacks

· Evasion attacks

· Model supply chain attacks

This thorough examination ensures a comprehensive understanding of potential security risks and the development of effective countermeasures.

Comprehensive Risk Considerations:

The framework extends beyond adversarial machine learning attacks, encompassing risks related to:

· AI code maintainability

· Data security breaches

· AI supply chain attacks

· Denial-of-service (DoS) attacks on AI

· IoT security threats

· Social engineering attacks

· Ethical practices in AI

Lakera’s inclusive set of best practices forms the foundation of a robust AI security program, engaging stakeholders, implementing advanced technical safeguards, conducting regular security assessments, and ensuring legal and regulatory compliance.

Continuous Improvement and Security-Centric Culture:

The framework emphasizes continuous improvement, urging organizations to stay informed about evolving AI security threats and cultivate a security-centric culture for responsible AI deployment. Through its multifaceted approach, Lakera contributes to securing AI systems and fostering a resilient environment in the face of growing AI reliance.Photo by Steve Johnson on Unsplash


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