#AIDeployment

[tsqc]

How Latent AI is Transforming Edge AI Deployment

[aiwikiweb]

How Robust Intelligence Safeguards AI Deployments Across Industries

In an era where AI is transforming industries, Robust Intelligence stands out by offering comprehensive risk management solutions that protect AI systems from threats and biases.

Problem Statement:

Organizations face challenges in ensuring the security and integrity of AI applications, leading to potential risks such as data breaches and biased decision-making.

Application:

By leveraging Robust Intelligence, organizations can conduct thorough risk assessments of their AI models before deployment. For instance, a financial institution can use the platform to analyze its credit scoring algorithm for vulnerabilities and biases, ensuring fair lending practices.

Outcome:

Users report improved confidence in their AI applications, enhanced security measures, and compliance with industry regulations. The proactive approach to risk management allows organizations to focus on innovation while maintaining robust safeguards.

Industry Examples:

Healthcare: Ensures the security of AI-driven diagnostic tools and patient data.

Finance: Protects against biases in lending algorithms and ensures regulatory compliance.

Retail: Mitigates risks associated with AI-based customer targeting and personalization.

Protect your AI applications with Robust Intelligence’s risk management solutions. Visit aiwikiweb.com/product/robust

[govindhtech]

Introducing CoSAI And Founding Member Organisations

AI requires an applied standard and security framework that can keep up with its explosive growth. Since Google was aware that this was only the beginning, Google released the Secure  AI Framework (SAIF) last year. Any industrial framework must, of course, be operationalized through close cooperation with others, and above all, a forum.

Together with their industry colleagues, Google is launching the Coalition for Secure AI (CoSAI) today at the Aspen Security Forum. Over the past year, Google have been trying to bring this coalition together in order to achieve comprehensive security measures for addressing the particular vulnerabilities associated with AI, for both immediate and long-term challenges.

Creating Safe AI Systems for Everyone

In order to share best practices for secure  AI deployment and work together on AI security research and product development, the Coalition for Secure  AI (CoSAI) is an open ecosystem of AI and security specialists from top industry organisations.

What is CoSAI?

Collective action is necessary for security, and using AI itself is the greatest approach to secure AI. Individuals, developers, and businesses must all embrace common security standards and best practices in order to engage in the digital ecosystem securely and ensure that it is safe for all users. AI is not an exception. In order to address this, a diverse ecosystem of stakeholders came together to form the Coalition for Secure  AI (CoSAI), which aims to build technical open-source solutions and methodologies for secure  AI development and deployment, share security expertise and best practices, and invest in AI security research collectively.

In partnership with business and academia, CoSAI will tackle important AI security concerns through a number of vital workstreams, including initiatives like:

AI Systems’ Software Supply Chain Security

Getting Defenders Ready for a Changing Security Environment

Governance of AI Security

How It Benefits You

By taking part in CoSAI, you may get in touch with a thriving network of business executives who exchange knowledge and best practices about the development and application of safe  AI. By participating, you get access to standardised procedures, collaborative efforts in  AI security research, and open-source solutions aimed at enhancing the security of AI systems. In order to strengthen the security and trust of AI systems inside your company, CoSAI provides tools and guidelines for putting strong security controls and mitigations into place.

Participate!

Do you have any questions regarding CoSAI or would you like to help with some of Google’s projects? Any developer is welcome to participate technically for no cost. Google is dedicated to giving each and every contributor a transparent and friendly atmosphere. Become a CoSAI sponsor to contribute to the project’s success by financing the essential services that the community needs.

CoSAI will be headquartered under OASIS Open, the global standards and open source organisation, and comprises founding members Amazon, Anthropic, Chainguard, Cisco, Cohere, GenLab, IBM,  Intel, Microsoft, NVIDIA, OpenAI, Paypal, and Wiz.

Announcing the first workstreams of CoSAI

CoSAI will support this group investment in  AI security as people, developers, and businesses carry out their efforts to embrace common security standards and best practices. Additionally, Google is releasing today the first three priority areas that the alliance will work with business and academia to address:

Software Supply Chain Security for  Artificial Intelligence Systems: Google has been working to expand the use of SLSA Provenance to  AI models in order to determine when AI software is secure based on the way it was developed and managed along the software supply chain. By extending the current efforts of SSDF and SLSA security principles for AI and classical software, this workstream will strive to improve  AI security by offering guidance on analysing provenance, controlling risks associated with third-party models, and examining the provenance of the entire AI application.

Getting defenders ready for an evolving cybersecurity environment: Security practitioners don’t have an easy way to handle the intricacy of security problems when managing daily AI governance. In order to address the security implications of  AI use, this workstream will offer a framework for defenders to identify investments and mitigation strategies. The framework will grow mitigation measures in tandem with the development of AI models that progress offensive cybersecurity.

AI security governance: Managing AI security concerns calls for a fresh set of tools and knowledge of the field’s particularities. To assist practitioners in readiness assessments, management, monitoring, and reporting of the security of their AI products, CoSAI will create a taxonomy of risks and controls, a checklist, and a scorecard.

In order to promote responsible  AI, CoSAI will also work with groups like the Partnership on AI, Open Source Security Foundation, Frontier Model Forum, and ML Commons.

Next up

Google is dedicated to making sure that as  AI develops, efficient risk management techniques do too. The industry support for safe and secure AI development that Google has witnessed over the past year is encouraging. The efforts being made by developers, specialists, and large and small businesses to assist organisations in securely implementing, training, and utilising AI give them even more hope.

AI developers require and end users should have access to a framework for AI security that adapts to changing circumstances and ethically seizes opportunities. The next phase of that journey is CoSAI, and in the upcoming months, further developments should be forthcoming. You can go to coalitionforsecureai.org to find out how you can help with CoSAI.

Read more on Govindhtech.com

[osintelligence]

https://bit.ly/3WoRU5R - 🛡️ Defense Unicorns has launched LeapfrogAI, a promising open source project poised to enhance secure Generative AI solutions for highly regulated industries such as defense, intelligence, and commercial enterprises. LeapfrogAI is set to transform the way these sectors operate, optimizing their data advantages while maintaining stringent security protocols. #AI #DefenseUnicorns #LeapfrogAI 🚀 The rapid progress in open-source Generative AI is remarkable. Traditional general-purpose AI models are changing the landscape of business operations. Yet, fine-tuned open-source models backed by mission-specific data are often superior in performance. LeapfrogAI is designed to harness this power, providing a secure and efficient platform for integrating AI capabilities in-house. #OpenSourceAI #Innovation 🎯 With LeapfrogAI, users can deliver new Generative AI capabilities swiftly, ensure security and regulatory compliance, fine-tune models leveraging their data, retain data and model control, deploy AI solutions across various platforms and simplify the use of Generative AI. The Department of the Navy and the United States Space Force are among the early adopters. #GenerativeAI #AIForDefense ⚙️ LeapfrogAI aims to provide AI-as-a-service in resource-constrained environments, bringing sophisticated AI solutions closer to these challenging areas. It bridges the gap between limited resources and the growing AI demand by hosting APIs that offer AI-related services, such as vector databases, Large Language Model (LLM) completions, and creation of embeddings. #AIAsAService 🔐 Hosting your own Large Language Model (LLM) can offer several advantages like data privacy and security, cost-effectiveness, customization and control, and low latency. With LeapfrogAI, you have the flexibility to host your LLM, ensuring you have full control over your data and your AI solutions. #LLM #DataPrivacy 💼 LeapfrogAI provides an API closely aligned with OpenAI's, facilitating a seamless transition for developers familiar with OpenAI's API. Its features include efficient similarity searches via vector databases, fine-tuning models using customer-specific data, and generating embeddings for various tasks. #OpenAI #API 💡 Setting up the Kubernetes Cluster and deploying LeapfrogAI is straightforward, and usage guidelines are provided to help new users get started. LeapfrogAI also allows teams to deploy APIs that mirror OpenAI's spec, enabling secure AI integration without the risk of sensitive data being released to SaaS tools. #Kubernetes #AIDeployment ⚙️ To wrap up, LeapfrogAI is set to be a game-changer in the world of secure Generative AI, offering secure, flexible, and powerful AI solutions for various mission-driven organizations. #LeapfrogAI #AIRevolution GitHub: https://bit.ly/3MhxEP0