Securiti AI Launches Context-Aware LLM Firewalls to Secure GenAI Applications

View
Contact Us Schedule a Demo

AI Risk Management Frameworks

This whitepaper provides you with the following information:

  • The various AI Risk Management Frameworks in use today globally and how they can safeguard your projects against unforeseen risks;
  • The lifecycle of AI models and systems, allowing for better allocation of resources towards continuous improvement and innovation;
  • How these Frameworks align with global regulatory standards such as the OECD guidelines and the EU’s AI Act. 

DOWNLOAD WHITE PAPER

Artificial intelligence (AI) poses both challenges and opportunities for businesses. Owing to the plethora of complexities and risks involved, the thorough understanding, implementation, and assessment of all AI capabilities being used becomes even more critical for businesses hoping to leverage such capabilities responsibly. 

Consequently, appropriately using and understanding various AI Risk Management Frameworks becomes even more paramount. Our guide provides businesses with the knowledge they need to select and apply the most appropriate frameworks for their specific needs. 

This guide aims to empower businesses to make informed decisions about AI deployment, ensuring that they can navigate the challenges and opportunities of AI in a safe and compliant manner.

ACCESS WHITEPAPER

Award-winning technology, built by a proven team, backed by confidence. Learn more.

Frequently Asked Questions (FAQs) related to AI Risk Management Framework

Here are some other commonly asked questions you might have:

These AI Risk Management Frameworks have been designed for anyone involved, directly or indirectly, in the development, use, evaluation, design, deployment, or assessment of AI models and systems. The language is intentionally kept accessible enough for non-AI professionals while retaining the technical depth necessary for practitioners from various domains. 

Considering how dynamically AI technologies are changing and evolving, it is crucial for organizations deploying these technologies to have proportional governance measures in place to manage any of the risks associated with the use of such technologies. Deployed effectively, such a Framework can enable organizations to navigate most of their AI-related risks with ease.

Effective management of AI-related risks would rely tremendously on six critical contexts: data handling, model selection and training, deployment and infrastructure, contracts and insurance, legal and regulatory compliance, and organizational culture. By prioritizing the mitigation of any AI-related risks and issues arising within these domains, organizations can curate AI usage in a manner that promises effective results. 

All-in-One Solution For Your Business Needs

The Multi-disciplinary practice to grow trust-equity of your brand and comply with privacy regulations

Timeline of the Executive Order on the Safe, Secure & Trustworthy Development and Use of AI View More

Timeline of the Executive Order on the Safe, Secure & Trustworthy Development and Use of AI

Learn more about the finer details of Joe Biden's Executive Order 14110 and the subsequent obligations it places on federal agencies and departments.

View More

Harnessing Unstructured Data for GenAI

Download the whitepaper to learn how you can unleash the potential of unstructured data in your organization and successfully operationalize it for GenAI.

View More

The CISO Guide for Securing GenAI Applications

Gain insights into how you can leverage ML-powered, distributed, and context-aware LLM Firewalls to enhance the security of your GenAI applications.

View More

Introduction to Evolving Data Privacy Laws: Frequently Asked Questions

Download the whitepaper to discover key insights into the evolving landscape of data privacy laws with this comprehensive FAQ guide.

View More

An Overview of Singapore’s Data Privacy and Cybersecurity Landscape

This whitepaper delves into the intricate tapestry of data privacy and cybersecurity within Singapore – regulations, guidelines, sectoral laws, cybersecurity Act, GenAI framework, etc.

View More

Navigating AI Compliance: An Integrated Approach to the NIST AI RMF & EU AI Act

Learn how Securiti’s Compliance Management solution for the EU AI Act & the NIST AI RMF helps you align with AI regulations, manage AI risks, and leverage compliance for success.

View More

Navigating the Future: How the EU AI Act Shapes AI Governance

Explore the transformative impact of the EU AI Act on global AI governance. Dive into the future of AI regulation and ensure ethical AI deployment while safeguarding individual rights.

View More

An Overview of Saudi Arabia’s Data Privacy and Cybersecurity Landscape

This whitepaper delves into the intricate tapestry of data privacy and cybersecurity within Saudi Arabia, offering a comprehensive exploration of the regulatory data privacy frameworks.

View More

Governing AI In The US: A Guide to Laws, Policies, and Strategies for Responsible Development

Gain access to the critical historical context that has led to the formation of data governance strategies and policies across various US states and departments.

View More

Google CMP Requirements

This whitepaper provides you with the key elements of Google’s new CMP requirements, what features to look for when choosing a CMP solution, and what are the best practices to adopt for better and more effective compliance.

What's
New