# Red-Teaming * **Definition:** A practice in cybersecurity where external teams simulate attacks to identify vulnerabilities and assess the security of healthcare systems, originally derived from military simulations. * **Taxonomy:** CTO Topics / Red-Teaming ## News * Selected news on the topic of **Red-Teaming**, for healthcare technology leaders * 997 news items are in the system for this topic * Posts have been filtered for tech and healthcare-related keywords | Date | Title | Source | | --- | --- | --- | | 5/25/2025 | [**AI And Urology EHR Data The Transformative Power For Non-Muscle Invasive Bladder ...**](https://www.clinicalleader.com/doc/ai-and-urology-ehr-data-the-transformative-power-for-non-muscle-invasive-bladder-cancer-treatment-0001) | [[Clinical Leader]] | | 5/23/2025 | [**Cereen Varghese Joins Amerisure as Vice President of Application Engineering - PRWeb**](https://www.prweb.com/releases/cereen-varghese-joins-amerisure-as-vice-president-of-application-engineering-302461431.html) | [[PRWeb]] | | 4/24/2025 | [**Protect AI and Leidos to Secure AI Across U.S. Government Systems - Yahoo Finance**](https://finance.yahoo.com/news/protect-ai-leidos-secure-ai-130200301.html) | [[Yahoo Finance]] | | 4/23/2025 | [**Protect AI Announces Integration with Amazon Bedrock - Yahoo Finance**](https://finance.yahoo.com/news/protect-ai-announces-integration-amazon-130200305.html) | [[Yahoo Finance]] | | 4/23/2025 | [**AI Red-Teaming: A Strategic Guide to Securing AI Systems Against Emerging Threats ...**](https://www.prnewswire.com/news-releases/ai-red-teaming-a-strategic-guide-to-securing-ai-systems-against-emerging-threats-published-by-info-tech-research-group-302436439.html) | [[PR Newswire]] | | 4/23/2025 | [**AI Red-Teaming: A Strategic Guide to Securing AI Systems Against Emerging Threats ...**](https://www.morningstar.com/news/pr-newswire/20250423to71573/ai-red-teaming-a-strategic-guide-to-securing-ai-systems-against-emerging-threats-published-by-info-tech-research-group) | [[Morningstar]] | | 4/23/2025 | [**A Strategic Guide to Securing AI Systems Against Emerging Threats Published by Info-Tech ...**](https://finance.yahoo.com/news/ai-red-teaming-strategic-guide-202300854.html) | [[Yahoo Finance]] | | 4/23/2025 | [**AI Red-Teaming: A Strategic Guide to Securing AI Systems Against Emerging Threats Published by Info-Tech Research Group**](https://www.theglobeandmail.com/investing/markets/markets-news/PR%20Newswire/32017778/ai-red-teaming-a-strategic-guide-to-securing-ai-systems-against-emerging-threats-published-by-info-tech-research-group/) | [[The Globe and Mail]] | | 4/23/2025 | [**AI Red-Teaming: A Strategic Guide to Securing AI Systems Against Emerging Threats Published by Info-Tech Research Group**](https://finance.yahoo.com/news/ai-red-teaming-strategic-guide-202300553.html) | [[Yahoo Finance]] | | 2/18/2025 | [**AHG Utilizes DeepSeek to Advance AI in Healthcare - PR Newswire**](https://www.prnewswire.com/news-releases/ahg-utilizes-deepseek-to-advance-ai-in-healthcare-302378879.html) | [[PR Newswire]] | | 1/3/2025 | [**Artificial Intelligence - Healthcare IT News**](https://www.healthcareitnews.com/taxonomy/term/7341/m89gsv6dzcjz.jsp%C0%A7%C0%A2%27%22%5C%27%5C%22/page/204) | [[Healthcare IT News]] | | 12/17/2024 | [**Amazon's new Nova AI models could be ground-breaking - why we can't know for certain**](https://www.zdnet.com/article/amazons-new-nova-ai-models-could-be-ground-breaking-why-we-cant-know-for-certain/) | [[ZDNet]] | | 11/26/2024 | [**CosMedical Technologies® Appoints Janna Linehan as Head of Product to Drive Innovation ...**](https://www.morningstar.com/news/globe-newswire/9290357/cosmedical-technologies-appoints-janna-linehan-as-head-of-product-to-drive-innovation-and-elevate-skincare-development) | [[Morningstar]] | | 9/14/2024 | [**Health IT Leaders Can Fix Governance R.O.T. in Digital Health: R.O.T.=Risk, Operations ...**](https://medium.com/@news_52674/health-it-leaders-can-fix-governance-r-o-t-4d0e1850aa9e) | [[Medium]] | | 9/9/2024 | [**US proposes requiring reporting for advanced AI, cloud providers - AOL.com**](https://www.aol.com/news/us-proposes-requiring-reporting-advanced-124913174.html) | [[AOL]] | | 9/9/2024 | [**US Proposes Requiring Reporting for Advanced AI, Cloud Providers - USNews.com**](https://www.usnews.com/news/top-news/articles/2024-09-09/us-proposes-requiring-reporting-for-advanced-ai-cloud-providers) | [[US News and World Report]] | | 9/9/2024 | [**US proposes requiring reporting for advanced AI, cloud providers - Reuters**](https://www.reuters.com/technology/us-proposes-requiring-reporting-advanced-ai-cloud-providers-2024-09-09/) | [[Reuters]] | | 9/9/2024 | [**AI developers and cloud providers may be required to report to the government**](https://www.fastcompany.com/91187159/ai-cloud-computing-report-federal-government-commerce-department) | [[Fast Company]] | | 8/31/2024 | [**Here's how you can optimize communication in your healthcare organization with technology.**](https://www.linkedin.com/advice/3/heres-how-you-can-optimize-communication-8zwhf) | [[Linkedin]] | | 8/1/2024 | [**Protect AI Acquires SydeLabs to Red Team Large Language Models**](https://www.datanami.com/this-just-in/protect-ai-acquires-sydelabs-to-red-team-large-language-models/) | datanami.com | | 8/1/2024 | [**IPEC and COF Applaud 2024 Interprofessional Education Collaboration Award Recipients**](http://www.businesswire.com/news/home/20240801165123/en/IPEC-and-COF-Applaud-2024-Interprofessional-Education-Collaboration-Award-Recipients/?feedref=JjAwJuNHiystnCoBq_hl-RLXHJgazfQJNuOVHefdHP-D8R-QU5o2AvY8bhI9uvWSD8DYIYv4TIC1g1u0AKcacnnViVjtb72bOP4-4nHK5ieT3WxPE8m_kWI77F87CseT) | [[Business Wire]] | | 7/31/2024 | [**Protect AI Acquires SydeLabs to Red Team Large Language Models - Dark Reading**](https://www.darkreading.com/application-security/protect-ai-acquires-sydelabs-to-red-team-large-language-models) | darkreading.com | | 7/31/2024 | [**Protect AI Acquires SydeLabs to Red Team Large Language Models**](https://www.lelezard.com/en/news-21472235.html) | lelezard.com | | 7/26/2024 | [**Apple Commits to US Initiative for Trustworthy AI**](https://www.govinfosecurity.com/apple-commits-to-us-initiative-for-trustworthy-ai-a-25862) | govinfosecurity.com | | 7/26/2024 | [**Apple Commits to US Initiative for Trustworthy AI - BankInfoSecurity**](https://www.bankinfosecurity.com/apple-commits-to-us-initiative-for-trustworthy-ai-a-25862) | bankinfosecurity.com | ## Topic Overview (Some LLM-derived content — please confirm with above primary sources) ### Key Players - **U.S. Commerce Department**: Government body proposing regulations for AI firms to enhance safety and security, including mandatory reporting on red-teaming efforts. - **Tomer Nahum**: Leader of the red team of hackers targeting Sunshine Healthcare, exploiting vulnerabilities in the hospital's network. - **LG AI Research**: A research organization that has developed the EXAONE 3.0 AI model and is conducting red-teaming exercises to identify vulnerabilities. - **Beth Boynton**: A nurse consultant discussing the Medical Improv Toolkit to enhance communication and teamwork in clinical settings. - **SydeLabs**: A firm founded by former Google and MPL engineers, known for automated attack simulations for generative AI. - **Mitel**: A provider of telehealth solutions that enhances remote healthcare engagement through its Virtual Care Collaboration Service. - **Info-Tech Research Group**: A research and advisory firm that provides insights and frameworks for AI security and risk management. - **Suresh Gunasekaran**: CEO of UCSF Health, advocating for team engagement and collaboration in patient care. - **Dr. Sonya Makhni**: Expert emphasizing the need for collaboration between clinicians and developers to address biases in AI systems. - **University Hospitals**: A healthcare provider that encourages front-line workers to develop solutions for improving patient care, exemplified by their ICU improvement initiatives. - **Protect AI**: A company that focuses on enhancing the security of generative AI systems through acquisitions and advanced testing capabilities. - **Applause**: A digital quality and crowd-sourced testing leader that integrates AI into its testing practices. - **Dr. Shabail Mazumdar**: A gastroenterologist emphasizing the importance of team culture and psychological safety in healthcare settings. - **OpenAI**: A leading AI firm known for its advanced models like ChatGPT and o1, which emphasizes safety and compliance in AI deployment. - **Hamming.ai**: An AI voice agent reliability platform that automates testing and governance of AI voice agents. - **Brian P. Kalis**: Accenture representative highlighting the role of generative AI in mitigating clinician shortages. - **DeepSeek**: An emerging AI model aiming to challenge existing AI technologies with advanced capabilities. - **Professors Georgina Cosma and Patrick Waterson**: Researchers at Loughborough University developing an AI tool to analyze human factors in maternity care. ### Partnerships and Collaborations - **Humane Intelligence**: Partnering with the U.S. Department of Defense for the Crowdsourced Artificial Intelligence Red-Teaming Assurance Program (CAIRT). - **Deloitte Canada**: Collaborating with The Ottawa Hospital to enhance the functionalities of the Digital Teammate AI assistant. - **Protect AI and Amazon Bedrock**: Integration of security tools to enhance the secure deployment of generative AI applications. - **ACTO and ScienceMedia**: Collaboration to improve clinical competency and training for life sciences professionals. - **LG AI Research and External Testers**: Collaborated with over 100 external testers to ensure the safety and effectiveness of the EXAONE 3.0 model. - **Protect AI and SydeLabs**: The acquisition of SydeLabs by Protect AI enhances its platform with advanced red teaming capabilities for large language models (LLMs). - **Sapio Sciences and CREO**: A strategic partnership aimed at enhancing laboratory management and facilitating digital transformation in life sciences. - **University Hospitals and ICU Leaders**: University Hospitals collaborates with ICU leaders to develop improvement plans for patient care. - **Loughborough University and healthcare organizations**: Collaboration to refine AI tools for improving maternity care outcomes. - **Biden Administration**: Initiated voluntary commitments for AI development, seeking assurances from tech firms for secure and trustworthy AI. - **U.S. Government and AI Developers**: The U.S. government is working with AI developers to ensure compliance with new safety regulations and reporting requirements. - **Klick Health and Pharmaceutical Companies**: Klick collaborates with major pharmaceutical companies to evaluate innovative healthcare solutions submitted by employees. ### Innovations, Trends, and Initiatives - **Red-Teaming**: A practice used by companies like Anthropic and Amazon to stress-test AI systems by simulating adversarial attacks to identify weaknesses before deployment. - **AI Red-Teaming Framework**: A four-step framework developed by Info-Tech Research Group for implementing effective AI red-teaming practices. - **Red-Teaming Exercises**: Conducted by LG AI Research to identify vulnerabilities in AI models, ensuring safety and reliability before deployment. - **AI Red-Teaming**: A strategic approach to proactively identify vulnerabilities in AI systems to enhance security. - **Regulatory Proposals**: The U.S. Commerce Department's proposal for AI firms to report on red-teaming outcomes as part of compliance with new safety standards. - **Crowdsourced AI Red-Teaming Assurance Program (CAIRT)**: A pilot program evaluating large language models for military medical services, identifying over 800 vulnerabilities. - **Digital Teammate**: An AI-powered digital assistant launched by The Ottawa Hospital to improve staff and patient interactions. - **Medical Improv Toolkit**: An initiative to improve communication and teamwork in healthcare through experiential learning. - **AI Tool for Maternity Care**: Developed to identify human factors affecting care outcomes, emphasizing teamwork and communication. - **AI Safety Regulations**: The U.S. Commerce Department is proposing new reporting requirements for AI developers to enhance safety and resilience against cyberattacks, including outcomes from red-teaming efforts. - **Generative AI Teams**: 67% of mature organizations are creating new roles for generative AI, indicating a trend towards dedicated AI teams. - **Protect AI Recon**: The rebranded product from SydeLabs, offering no-code integration, model-agnostic scanning, and detailed threat profiling for LLMs. - **Telehealth Solutions**: Mitel's Virtual Care Collaboration Service exemplifies the trend towards remote healthcare solutions that prioritize patient engagement. - **DAX Copilot by Microsoft**: An AI-powered solution automating clinical documentation to enhance clinician-patient interaction. - **EquityMedQA Framework**: Developed by Google Research to assess potential harms to health equity from AI responses, emphasizing the need for responsible AI deployment. - **AI Security Solutions**: Protect AI's new product, Protect AI Recon, integrates automated attack simulations to identify vulnerabilities in large language models. - **Alignment with Security Standards**: Protect AI Recon aligns with formal guidance from organizations like NIST and OWASP, addressing key security concerns in AI applications. - **AI-Driven Solutions**: The healthcare industry is increasingly leveraging AI for various applications, including patient experience and operational efficiency. - **Klick Prize**: An initiative that awards employees for innovative AI ideas aimed at improving healthcare, with a focus on commercialization of winning prototypes. - **OWASP LLM and Generative AI Security Solutions Landscape Guide**: A comprehensive resource for organizations to develop secure AI systems. ### Challenges and Concerns - **Mental Health of Cybersecurity Teams**: Intense stress and pressure on red, blue, and purple teams can negatively impact their performance and the safety of AI systems. - **Compliance and Regulatory Standards**: Organizations must align with global standards that recommend AI red-teaming to ensure safe AI technology use. - **Psychological Safety**: The need for a culture of psychological safety is emphasized to address issues and inefficiencies in healthcare teams. - **Integration of Technology**: Healthcare organizations face challenges in integrating new technologies while ensuring compliance and maintaining patient care quality. - **Bias in AI Responses**: The need for context-specific evaluations to address biases in AI-generated responses, particularly in healthcare applications. - **Bias and Vulnerabilities in AI**: The CAIRT program highlights the importance of addressing biases and vulnerabilities in AI systems to ensure equitable healthcare delivery. - **Integration of AI in Healthcare**: Challenges exist in ensuring that AI tools are trusted and compatible with existing workflows in healthcare settings. - **Healthcare Fragmentation**: Challenges arise from different staff members lacking familiarity with a patient's comprehensive care history. - **Data Privacy Risks**: Concerns regarding data privacy and security in AI models, especially with the involvement of foreign entities in AI development. - **Skills Shortage**: A lack of skilled professionals in cybersecurity exacerbates challenges in managing AI-related risks. - **Emerging AI Threats**: The evolving landscape of AI threats necessitates continuous adaptation and improvement in security practices. - **Compliance Costs**: New reporting requirements for AI developers may lead to increased compliance costs and operational slowdowns. - **Staffing Shortages**: Healthcare practices face challenges due to declining reimbursement rates and staffing shortages, impacting patient care. - **AI Safety and Accountability**: Current tests and benchmarks for AI safety may be inadequate, leading to calls for more rigorous testing similar to other industries. - **Vulnerability in AI Systems**: As AI systems become more integrated into healthcare, identifying and mitigating vulnerabilities in LLMs is essential to ensure secure deployment. - **Cybersecurity Risks**: As healthcare technology evolves, organizations must address cybersecurity threats, particularly ransomware attacks, to protect sensitive patient data. - **Ethical Challenges**: The ethical implications of AI, including potential harm and accountability for harmful outputs, are significant concerns for businesses. - **Burnout Among Healthcare Workers**: High levels of stress and burnout among healthcare professionals can impact patient care and operational efficiency. - **Emerging Security Threats**: The need for robust security measures in AI applications is critical due to the evolving landscape of cyber threats, including deepfake technology.