Censinet, provider of healthcare risk management solutions, announced a collaboration with Amazon Web Services ( AWS ) to launch a new suite of advanced AI capabilities to transform Governance, Risk, and Compliance ( GRC ) and cybersecurity risk management in the health industry. Powered by AWS AI system, Censinet AI is infrastructure built on a custom set of algorithms and capabilities available on-demand to customers of Censinet RiskOps, the company’s system. With Censinet AI, customers benefit from unsurpassed risk awareness, special innovations to generate more educated, risk-based AI management, and advanced AI automation to accelerate cyber risk management.  ,
Healthcare agencies require faster and more effective options than ever before to defend care supply from disruption, according to Ed Gaudet, CEO and founder of Censinet, as ransom becomes more prevalent every day and AI implementation surpasses our ability to manage it. Through our partnership with AWS, we can deliver Censinet AI to streamline risk management and facilitate dependable, safe use and deployment. We’re enabling healthcare leaders to handle digital risks at the scale to ensure safe, continuous care with Censinet RiskOps.
According to Ben Schreiner, Head of Business Innovation for SMB, U. S. at AWS,” Our engagement with Censinet brings modern AI capabilities to healthcare organizations facing an developing and more ominous cyber risk landscape.” Healthcare organizations gain the tools they need to more effectively manage digital risks and encourage healthy AI deployment with AWS’s AI system. AWS is proud to work with Censinet to provide security solutions that the medical industry, and their patients, can rely on.
Setting a New Security Standard for AI-Powered Risk Management
Censinet’s collaboration with AWS sets a new benchmark for safe, secure, and scalable healthcare GRC and cyber risk management. Customer data is securely stored in Censinet’s protected environment and is never accessible outside the restricted areas of its VPC, which is fully integrated into Censinet RiskOps and hosted exclusively in a dedicated Virtual Private Cloud (VPC ) within AWS infrastructure.  ,
The approach prevents external access and guarantees that no third party, large language model ( LLM), can access or retain customer data or prompts for model training, content moderation, or other purposes. With robust encryption in transit and at rest, the solution leverages AWS ‘ infrastructure to deliver unmatched data security, compliance, and performance.  ,
Enhancing AI Governance for Responsible Adoption
As AI adoption accelerates, especially in clinical decision-making, diagnostics, and treatment, the need for enhanced oversight and governance is paramount. Many healthcare organizations are establishing independent AI Governance committees and putting in place strict rules and procedures to ensure safe, secure, and ethical AI practices. By utilizing best-practice standards like the NIST AI Risk Management Framework ( RMF), censinet AI unlocks a new level of AI risk visibility and insight, enabling governance committees and healthcare leaders to more effectively create and enforce AI policies, assess AI-related third-party and enterprise risks, and more effectively manage the implementation and use of AI across the organization.
Increasing the Scale of Cyber Risk Management
By enabling vendors to complete security questionnaires in seconds, automatically summarizing vendor evidence and documentation, capturing crucial product integration details and fourth-party risk exposures, and creating risk summary reports based on all relevant assessment data, Censinet AITM accelerates the end-to-end third-party risk assessment process in Censinet RiskOps. Healthcare organizations can reduce risk significantly faster in Censinet RiskOps thanks to Censinet AITM, which speeds up risk assessments.
Balancing Autonomy and Human Insight for Safe, Scalable Solutions
Censinet AITM opens up new opportunities for healthcare organizations to manage cyberrisk on a large scale without sacrificing safety. Censinet AITM increases operational efficiency while maintaining human oversight and analysis by automating key stages of the risk assessment process, including ensuring that evidence validation, policy formulation, and risk mitigation are all handled by humans.
Risk teams retain control through configurable rules and review processes, ensuring that automation supports, rather than replaces, critical decision-making. This human-in-the-loop approach enables healthcare leaders to scale their risk management processes, address complex third-party and enterprise risks more quickly and precisely, and harmonise their practices with industry standards and best practices while protecting patient safety and care delivery.
Streamlining GRC Collaboration and AI Oversight
Censinet AITM enhances collaboration and oversight by powering advanced routing and orchestration across Governance, Risk, and Compliance ( GRC ) teams. Key assessment findings and related tasks for addressing critical AI risks are routed to designated stakeholders for review and approval, including members of the AI governance committee, similar to “air traffic control” for AI governance and risk management. With real-time data aggregated in an intuitive AI risk dashboard, Censinet RiskOps serves as the centralized hub for all AI-related policies, risks, and tasks, creating a unified approach to AI risk management by ensuring that the right teams address the right issues at the right time – facilitating continuous AI oversight, accountability, and governance across the organization.
