Fujitsu Unveils Groundbreaking Multi-AI Agent Security Technology and Video Analytics AI

Fujitsu develops world's first multi-AI agent security technology to protect against vulnerabilities and new threats

Collaboration among AI agents specialized in security with skills and knowledges of attacks and protection News Facts: New multi-AI agent security technology leverages collaborating AI agents to protect against cyberattacks before they occur and address the increasing sophistication and frequency of modern threatsMultiple AI agents specializing in attack detection, defense, and business continuity testing, enabling organizations to address vulnerabilities and new threats proactivelyProactive approach to security significantly reduces response times to vulnerabilities, mitigating the risks associated with the rapid evolution of cyberattack techniques and the proliferation of generative AI KAWASAKI, Japan, Dec. 12, 2024 /PRNewswire/ -- Fujitsu today announced that it has developed a multi-AI agent security technology as a core technology of its AI service Fujitsu Kozuchi. The system coordinates multiple AI agents with different specialties to simulate cyberattacks, protection strategies, and business continuity measures, thereby helping companies and public organizations to develop and enact proactive security measures against new threats and vulnerabilities. The system comprises three main technologies: Security AI agent, multi-AI agent collaboration and generative AI security enhancement. Fujitsu will commence field trials of the technology for generative AI security enhancement in partnership with Cohere Inc., beginning December 2024 and plans to release part of the multi-AI agent collaboration technology as open-source software (OSS) on OpenHands, an AI agent platform developed with the strong support of AI research world leader Carnegie Mellon University, in January 2025. Starting in March 2025, the full suite of technologies will be rolled out globally and offered on a trial basis. Fujitsu's multi-AI agent security technology empowers IT system administrators and operations personnel, even those without specialized security expertise, to build applications that enable proactive security measures. It ensures the safe and secure implementation of generative AI within enterprise IT systems, allowing organizations to fully leverage the benefits of this technology while mitigating associated risks. Fujitsu is committed to contributing to the development of a trustworthy digital society where prosperity and stability coexist, as outlined in its materiality approach. Fujitsu's newly developed multi-AI agent security technology represents a significant step towards delivering on that commitment. For full release click here View original content:https://www.prnewswire.com/news-releases/fujitsu-develops-worlds-first-multi-ai-agent-security-technology-to-protect-against-vulnerabilities-and-new-threats-302330347.html SOURCE Fujitsu Limited Market News and Data brought to you by Benzinga APIs

Fujitsu develops world's first multi-AI agent security technology to protect against vulnerabilities and new threats By Investing.com

KAWASAKI, Japan, Dec 12, 2024 - (JCN Newswire) - - Fujitsu today announced that it has developed a multi-AI agent security technology as a core technology of its AI service Fujitsu Kozuchi. The system coordinates multiple AI agents with different specialties to simulate cyberattacks, protection strategies, and business continuity measures, thereby helping companies and public organizations to develop and enact proactive security measures against new threats and vulnerabilities. The system comprises three main technologies: Security AI agent, multi-AI agent collaboration and generative AI security enhancement. Fujitsu will commence field trials of the technology for generative AI security enhancement in partnership with Cohere Inc., beginning December 2024 and plans to release part of the multi-AI agent collaboration technology as open-source software (OSS) on OpenHands, an AI agent platform developed with the strong support of AI research world leader Carnegie Mellon University, in January 2025. Starting in March 2025, the full suite of technologies will be rolled out globally and offered on a trial basis. Fujitsu's multi-AI agent security technology empowers IT system administrators and operations personnel, even those without specialized security expertise, to build applications that enable proactive security measures. It ensures the safe and secure implementation of generative AI within enterprise IT systems, allowing organizations to fully leverage the benefits of this technology while mitigating associated risks. Fujitsu is committed to contributing to the development of a trustworthy digital society where prosperity and stability coexist, as outlined in its materiality approach. Fujitsu's newly developed multi-AI agent security technology represents a significant step towards delivering on that commitment. New technology that includes three fundamental AI agents for proactive security measures.These agents incorporate technology co-developed with Ben-Gurion University of the Negev, a world leader in cybersecurity research. Attack AI agent: Uses tactics, techniques, and procedures (TTP) analogy engine to propose effective attack scenarios against target systems for new threats.Defense AI agent: Proposes countermeasures based on the company's risk profile.Test AI agent: Automatically builds a verification virtual environment (cyber twin) from the production system to analyze the impact of countermeasures. The test AI agent runs reciprocal attack and protection simulations with the attack AI agent and defense AI agent on a cyber twin, enabling proactive defenses against new vulnerabilities. Our AI agents are characterized by co-creative learning, which tackles complex and unknown problems through collaborative and adversarial learning between AI agents with diverse skills. 2. Multi-AI agent collaboration This technology enables seamless collaboration between AI agents and is versatile and applicable beyond security. When AI agents collaborate, ensuring data confidentiality, privacy protection and adherence to the policies of each organization is a significant challenge. To address this, Fujitsu implemented a secure agent gateway coordination function within each organization's AI agent infrastructure. This allows for autonomous control of collaboration policies, enabling seamless AI agent collaboration without the need for explicit consideration from AI agent developers. 3. Generative AI security enhancement To prepare for emerging threats to generative AI, Fujitsu, in collaboration with Ben-Gurion University, has developed an LLM vulnerability scanner that can automatically and comprehensively check security resistance, and LLM guardrails that automatically protects and mitigates against attacks. The LLM vulnerability scanner addresses over 3,500 of the latest vulnerabilities known to exist in generative AI, including a proprietary generative code vulnerability check function. Adaptive prompting technology selects the optimal attack prompt based on the LLM's response, enabling highly accurate attack assessments. Furthermore, vulnerability explanation technology leveraging generative AI makes vulnerability assessment easy, even for non-security experts. The LLM guardrails work in conjunction with the LLM vulnerability scanner to ensure the safe and secure operation of generative AI by automatically applying guard rules that detect and reject malicious prompts deemed to require action during IT system operations, thereby preventing inappropriate responses. The LLM vulnerability scanner and LLM guardrails work with the attack AI agents and defense AI agents to enable proactive security measures for systems. Associate Professor Graham Neubig of Carnegie Mellon University, comments: "The development of AI agents is rapidly advancing worldwide. OpenHands, an open-source project strongly supported by Carnegie Mellon University, facilitates the development of diverse AI agent services, functionalities, and technologies by incorporating external expertise. Combining Fujitsu's multi-AI agent collaboration technology with OpenHands could significantly accelerate the development of cross-organizational multi-AI agent applications, which would be a remarkable achievement." Professor Yuval Elovici of Ben-Gurion University of the Negev, comments: "Fujitsu's innovative 'Cyber Twin' technology empowers companies to validate security policy compliance while simulating new attack and defense scenarios in a risk-free virtual environment. By enabling rigorous testing of business continuity without affecting real-world systems, this technology provides organizations with a powerful tool to swiftly address emerging new vulnerabilities and implement proactive, adaptive security strategies." Seraphina Goldfarb-Tarrant, Head of Safety, Cohere Inc., comments: "Secure systems are mission-critical for enterprises to adopt and benefit from AI development. We're excited that our ongoing work with Fujitsu enables Japanese companies to leverage AI with our best-in-class multilingual models and security enhancement technology." Future Plans Fujitsu aims to further expand its AI agent capabilities to automate a wider range of security tasks. This includes developing agents for secure design, incident response, and security audits. Fujitsu will also continue to strengthen its technology for generative AI security enhancement, expanding its coverage to address vulnerabilities and mitigate hallucinations specific to Retrieval Augmented Generation (RAG) applications, ensuring even greater security and reliability for generative AI deployments. About Fujitsu Fujitsu's purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.7 trillion yen (US$26 billion) for the fiscal year ended March 31, 2024 and remains the top digital services company in Japan by market share. Find out more: www.fujitsu.com.

Fujitsu develops video analytics AI agent to support safe, secure, and efficient frontline workplaces By Investing.com

KAWASAKI, Japan, Dec 12, 2024 - (JCN Newswire) - - Fujitsu today announced the development of a video analytics AI agent for frontline workplaces. The AI agent uses spatial video and image data from workplace camera footage, as well as written information, to draft reports and make recommendations for workplace improvements. The AI agent will be positioned as a core technology of Fujitsu's AI service "Fujitsu Kozuchi". Fujitsu will provide a trial environment for the AI agent in fiscal year 2024 and commence in-house implementation from January 2025. The AI agent is based on a multimodal large language model (LLM). The AI agent trains itself to recognize 3D images of the workplace using information from written documentation (i.e., safety rules, etc). Context memory technology uses written information to selectively retain only the relevant data, enabling the analysis of long-duration video content with world-leading accuracy (1). The AI agent will be evaluated by FieldWorkArena, an evaluation environment newly developed by Fujitsu, under the supervision of Carnegie Mellon University. FieldWorkArena will be made available for the researcher community from December 2024, with tasks being added to GitHub and the Fujitsu Research Portal in December 2024. Training to operate in the frontline workplace based on written documentation This technology augments the AI agent's video data comprehension capabilities using information from written documentation to help the LLM understand what it cannot from video content alone. Figure 2 below shows how this technology can be applied to understand the spatial relationship between people and objects. In addition to spatial relationships, the technology will also help the AI agent to recognize workplace objects and individual tasks carried out by employees. Potential applications of this technology include assessing the distances between people and objects in logistics and construction sites, and automatically updating work-task status via production management systems to visualize production status in real time. Efficiently retaining context data from video content When large, long-duration video content is input into current multimodal LLMs, it suffers framerate drops which results in poor response accuracy. To solve this issue, Fujitsu focused on the selective attention mechanism found in humans, which efficiently processes visual information by focusing on the contextually important details. This technology allows for the user to provide a prompt for a specific type of behavior to focus on in a video, i.e., "safe behavior in humans." The AI agent will then select only the specific frames and features that correspond to the prompt and compress and store them as video context data. Using this video context data, the multimodal LLM can process long-duration video content without the frame rate dropping. In a question-answering benchmark test carried out using long-duration video content including videos of more than 2 hours, Fujitsu achieved the world's highest answer accuracy with the smallest storage capacity as compared to conventional video compression technology for multimodal LLMs. FieldWorkArena Under the supervision of Carnegie Mellon University's Associate Professor Graham Neubig and Assistant Professor Yonatan Bisk, Fujitsu has developed the FieldWorkArena, an evaluation environment for its video analytics AI agent service. The FieldWorkArena includes a bank of images and video content from actual frontline workplaces including plants and warehouses, documents such as rules and instruction manuals, simulations of business systems, and sets of tasks for the AI agent to solve (Figure 4). It will evaluate the performance of AI agents in actual operations. (1) Benchmark carried out on December 12, 2024. Accuracy of responses to 599 question subsets (those that can be answered referring to video content alone) using the ultra-long video duration benchmark InfiniBench (average video length 49 minutes, maximum video length 151 minutes) About Fujitsu Fujitsu's purpose is to make the world more sustainable by building trust in society through innovation. As the digital transformation partner of choice for customers in over 100 countries, our 124,000 employees work to resolve some of the greatest challenges facing humanity. Our range of services and solutions draw on five key technologies: Computing, Networks, AI, Data & Security, and Converging Technologies, which we bring together to deliver sustainability transformation. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.7 trillion yen (US$26 billion) for the fiscal year ended March 31, 2024 and remains the top digital services company in Japan by market share. Find out more: www.fujitsu.com.