NEWS
MITRE and Microsoft collaborate over Generative AI security risks
pathways in LLM-enabled systems that consumers and organizations are rapidly adopting .
Such characterizations of realistic AI-enabled system attack pathways can be used to strengthen defenses against malicious attacks across a variety of consequential applications of AI , including in healthcare , finance and transportation .
“ Many are concerned about security of AI-enabled systems beyond cybersecurity alone , including large language models ,” said Ozgur Eris , Managing Director of MITRE ’ s AI and Autonomy Innovation Center . “ Our collaborative efforts with Microsoft and others are critical to advancing ATLAS as a resource for the nation .”
MITRE and Microsoft have added a data-driven generative
AI focus to MITRE ATLAS . The new framework update and associated new case studies dare pitched as directly addressing unique vulnerabilities of systems that incorporate generative AI and LLM like ChatGPT and Bard .
The updates to MITRE ATLAS – which stands for Adversarial Threat Landscape for Artificial-Intelligence Systems – are intended to realistically describe the rapidly increasing number and type of attack
Ram Shankar Siva Kumar , Microsoft data cowboy , said :
“ Microsoft and MITRE worked with the ATLAS community to launch the first version of the ATLAS framework for tabulating attacks on AI systems in 2020 , and ever since , it has become the de facto Rosetta Stone for security professionals to make sense of this ever-shifting AI security space .
“ The latest ATLAS evolution to include more LLM attacks and case studies underscores the framework ’ s incredible relevance and utility .”
Cerebras Systems selects VAST Data to accelerate the next wave of AI workloads
Generative AI pioneer Cerebras Systems has selected VAST Data to help deliver advanced data solutions that accelerate the training and accuracy of generative AI workloads . By leveraging the scalable and secure multi-tenant VAST Data Platform , Cerebras scales capacity and performance of its leading CS-2 AI supercomputers , including the recently announced Condor Galaxy , the world ’ s largest AI supercomputer network built in partnership with G42 Cloud , now part of Core42 .
“ The data requirements for training generative AI workloads continues to increase at an exponential and unprecedented pace ,” said Andrew Feldman , CEO and Co-Founder , Cerebras Systems .
“ With VAST ’ s enhanced data capabilities , we enable optimal utilization of Condor Galaxy .
This will allow users to build and train the next wave of cutting-edge foundational models , while greatly reducing training times and accelerating time-to-insight .”
Jeff Denworth , Co-Founder , VAST Data , said : “ As AI model training continues to grow and expand , so too does the need for more memory in each GPU , and Cerebras is delivering a new approach to solve this problem .
“ Through our joint collaboration with Core42 , the VAST Data Platform is helping organizations reimagine the future of data-intensive AI training and inference with infrastructure that was designed for these high-performance demanding workloads and the simplicity and zero trust , multi-layer security that modern enterprises require . Together , we ’ re excited to provide the data foundation for a global network of next-generation AI supercomputers .”
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