Onspring
Discover the GRC software you've been searching for: Onspring. This adaptable, no-code, cloud-based platform has been recognized as the top choice for GRC delivery for five consecutive years.
Effortlessly manage and disseminate information for informed decision-making regarding risks, keep track of risk assessments and remediation outcomes in real-time, and generate detailed reports with essential key performance indicators at the click of a button.
Whether you're transitioning from a different platform or are new to GRC software, Onspring provides the technology, clarity, and customer-focused support necessary to help you achieve your objectives swiftly.
With our ready-to-use solutions, you can get started in as little as 30 days.
From SOC and SOX to NIST, ISO, CMMC, NERC, HIPAA, PCI, GDPR, and CCPA—whatever the regulation, framework, or standard, Onspring allows you to capture, test, and report on controls, as well as initiate remediation for identified risks.
Users appreciate Onspring’s no-code platform, which empowers them to make adjustments instantly and create new workflows or reports independently in just minutes, without relying on IT or developers. When speed, adaptability, and efficiency are paramount, Onspring stands out as the top software solution available today, tailored to meet the diverse needs of its users.
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Vertex AI
Completely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications.
Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy.
Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.
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Tumeryk
Tumeryk Inc. specializes in state-of-the-art security solutions tailored for generative AI, offering features like the AI Trust Score that supports real-time monitoring, risk evaluation, and compliance with regulations. Our cutting-edge platform empowers businesses to protect their AI infrastructures, guaranteeing that implementations are not only dependable and credible but also in line with relevant policies. The AI Trust Score measures the potential hazards associated with generative AI technologies, which is crucial for organizations seeking to adhere to significant regulations such as the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates the reliability of AI-generated responses by examining various risks, including bias, vulnerability to jailbreak attacks, irrelevance, harmful content, risks of disclosing Personally Identifiable Information (PII), and occurrences of hallucination. Furthermore, it can be easily integrated into current business processes, allowing companies to make well-informed decisions about accepting, flagging, or rejecting AI-generated outputs, which ultimately minimizes the associated risks of these technologies. By adopting this score, organizations can create a more secure environment for AI applications, which in turn enhances public confidence in automated systems and promotes responsible usage of AI technology. This commitment to security and compliance positions Tumeryk Inc. as a leader in the intersection of artificial intelligence and safety.
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Amazon SageMaker
Amazon SageMaker is a robust platform designed to help developers efficiently build, train, and deploy machine learning models. It unites a wide range of tools in a single, integrated environment that accelerates the creation and deployment of both traditional machine learning models and generative AI applications. SageMaker enables seamless data access from diverse sources like Amazon S3 data lakes, Redshift data warehouses, and third-party databases, while offering secure, real-time data processing. The platform provides specialized features for AI use cases, including generative AI, and tools for model training, fine-tuning, and deployment at scale. It also supports enterprise-level security with fine-grained access controls, ensuring compliance and transparency throughout the AI lifecycle. By offering a unified studio for collaboration, SageMaker improves teamwork and productivity. Its comprehensive approach to governance, data management, and model monitoring gives users full confidence in their AI projects.
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