Data Bricks, March 21, 2024
This framework has been meticulously crafted to foster collaboration across various domains including business, IT, data, AI, and security, offering a comprehensive approach towards fortifying AI systems against potential threats. Through demystifying AI and ML concepts, cataloging AI security risks, and advocating a defense-in-depth strategy, the DASF provides practical guidance for organizations to navigate their AI journey with confidence.
The DASF underscores the critical importance of AI security and governance in fostering trust within organizations. As per Gartner’s insights, AI trust, risk, and security management are poised to become the top strategic trends influencing business and technology decisions. By 2026, organizations that prioritize AI transparency, trust, and security are projected to witness a substantial increase in adoption rates, business objectives, and user acceptance. Earlier this year, Databricks announced its acquisition of MosaicML, reaffirming its commitment to Responsible AI. Through strategic partnerships and initiatives, Databricks continues to lead the industry in AI innovation. The Databricks Security team now offers AI Security workshops, aimed at educating Chief Information Security Officers (CISOs) on risk-conscious AI deployment practices.
In the realm of AI security, collaboration among industry peers is indispensable. The DASF acknowledges the contributions of various standards, frameworks, and third-party tools that have paved the way for its development. By engaging with AI security leaders and experts, Databricks ensures that the DASF remains practical and relevant to the broader community. Testimonials from industry leaders underscore the significance of the DASF in bolstering AI security measures and fostering innovation. Embrace AI Security with Databricks: The Databricks AI Security Framework whitepaper is now available for download on the Databricks Security and Trust Center. We welcome your feedback and inquiries via email at dasf@databricks.com. Explore our AI Security page for additional resources on AI and ML security. Embark on your journey towards a secure AI future with Databricks. Download the DASF whitepaper today and join us in shaping the future of AI security!
Ingo Kleiber, March 17, 2024
As LLMs become more ubiquitous, the imperative to address security concerns looms larger. This is one of the best articles to dive into LLM Security.
The burgeoning reliance on LLMs demands a reevaluation of security paradigms. Unlike traditional systems, probabilistic AI systems, like LLMs, introduce a novel array of challenges. These challenges extend beyond technical considerations, encompassing ethical and societal ramifications. As LLMs find their way into critical domains such as public infrastructure and healthcare, the need for robust security measures becomes paramount. The opacity inherent in these probabilistic black boxes amplifies concerns, especially amidst the proliferation of misinformation and disinformation.
The complexity of LLM ecosystems compounds the security dilemma. Interconnected systems involving multiple LLMs pose formidable challenges in comprehension and oversight. Moreover, the rapid adoption of generative AI presents both risks and opportunities for society. The blurring lines between authentic and AI-generated content underscore the urgency for fortified, trustworthy systems. Amidst this dynamic landscape, the imperative for LLM security emerges as a dynamic, multifaceted endeavor. Collaborative efforts and continuous vigilance are essential to navigate this evolving frontier securely.
AA, March 21, 2024
The United Nations General Assembly has ratified a resolution aimed at advancing the cause of safe, secure, and reliable artificial intelligence (AI) for sustainable development. Spearheaded by the United States, the resolution garnered unanimous support from all 193 member states, signifying a global consensus on the importance of AI governance.
The resolution is crafted to bridge the digital disparities both within and between nations, with a specific focus on fostering safe and trustworthy AI systems to expedite progress towards achieving the objectives outlined in the 2030 Agenda for Sustainable Development. It calls upon member states, alongside various stakeholders including the private sector, civil society, and media institutions, to collaborate in developing and endorsing regulatory frameworks to ensure the safety and security of AI technologies.
Speaking at a press briefing, US Ambassador to the UN, Linda Thomas-Greenfield, underscored the resolution’s emphasis on capacity building and narrowing the digital divides to ensure that the benefits of AI are accessible to all. She highlighted the resolution as a pivotal stride towards harnessing AI’s potential to address global challenges, from saving lives and alleviating poverty to safeguarding the environment and fostering a more just and secure world.
US National Security Advisor, Jake Sullivan, hailed the resolution as a landmark achievement in the quest for safe and trustworthy AI systems. He emphasized the framework’s provisions for international collaboration, emphasizing principles such as equitable access, risk mitigation, privacy protection, and combating bias and discrimination. Sullivan pledged continued efforts to bolster global cooperation and navigate the multifaceted implications of AI.
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Welcome to our LLM Security Digest! In this edition we unveil the LLM security threat model and serious incident, LLM Prompt Injection techniques and noteworthy LLM Security courses. Take a ...
