Alternatives to SigmaRed

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.

Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models. Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.

Transparency, choice and control are key to trust. Organizations have the opportunity to leverage these moments to build trust, and provide more valuable experiences. People expect greater control over their data. We offer privacy and data governance automation to help organizations better understand and comply with regulatory requirements. We also operationalize risk mitigation to ensure transparency and choice for individuals. Your organization will be able to achieve data privacy compliance quicker and build trust. Our platform helps to break down silos between processes, workflows, teams, and people to operationalize regulatory compliance. It also allows for trusted data use. Building proactive privacy programs that are rooted in global best practice and not just reacting to individual regulations is possible. To drive mitigation and risk-based decision-making, gain visibility into unknown risks. Respect individual choice and integrate privacy and security by default in the data lifecycle.

FairNow provides organizations with the AI governance tools needed to ensure global compliance, and manage AI risks. FairNow's features, which are centralized, simplified, and empower the entire team, are loved by CPOs and CAIOs. FairNow's platform constantly monitors AI models in order to ensure that each model is fair, audit-ready, and compliant. Top features include: - Intelligent AI risk assessments: Conduct real-time assessment of AI models using their deployment locations in order to highlight potential reputational, financial and operational risks. - Hallucination Detection : Detect errors and unexpected responses. Automated bias evaluations: Automate bias assessments and mitigate algorithmic biased as they happen. Plus: - AI Inventory Centralized Policy Center - Roles & Controls FairNow's AI Governance Platform helps organizations build, purchase, and deploy AI with confidence.

AI and non AI models require risk management and oversight. Fairly is a continuous monitoring tool for advanced model governance. With Fairly, data science and cyber-security teams can easily collaborate with risk and compliance teams to ensure that models are reliable and secured. Fairly makes it simple to stay up to date with policies and regulations regarding procurement, validation, and audit of non AI, predictive AI, and generative AI. Fairly simplifies model validation and auditing by providing direct access to ground truth within a controlled environment, for both in-house models and third-party ones, without adding additional overhead to development or IT teams. Fairly's platform guarantees compliant, ethical, and secure models. Fairly helps teams identify compliance, operational, and model risks and mitigate them according to internal policies, external regulations, and monitor, report, and assess them.

A platform for AI governance, designed by lawyers with regulatory experience and tailored to your policies and use cases. Businesses must learn how to navigate and comply new legislation and guidelines. AI failures can lead to a loss of customer trust and a decline in product engagement. Teams are faced with AI systems that are more complex and have a greater number of use cases. Our assessments and live model control will help you monitor compliance with your AI systems. Alert users of potential issues or risk. Implementing good AI Governance practices can take a lot of time. Use the built-in automation for importing model data and artifacts and updating documentation. Understand AI compliance within your organization. Give senior stakeholders a complete picture of their AI to make strategic decisions. Share reports with curated audiences. We provide a comprehensive set of policies to ensure legal and regulatory conformance through pre-configured assessment.

ClearOPS assists buyers and sellers to manage their vendors and meet due diligence requirements. ClearOPS is a third-party risk platform that covers the full circle. ClearOPS allows you to track and monitor your vendors, upload evidence and send assessments, and respond directly to customer's vendor management processes. Vendor security questionnaires can be like a hot potato. No one wants to complete them. Our A.I. Our A.I. takes the first pass, saving you a lot of time. You don't have to worry about the information about your business being lost. Now that you have won the customer, what do you do? You have to keep them. We are passionate about maintaining healthy trust. ClearOPS keeps your privacy and security information up-to-date and easily accessible. Simple third-party risk management solution. Empower your colleagues and evaluate your vendors on your own schedule.

Accelerate the entire machine learning lifecycle. Developers and data scientists can have more productive experiences building, training, and deploying machine-learning models faster by empowering them. Accelerate time-to-market and foster collaboration with industry-leading MLOps -DevOps machine learning. Innovate on a trusted platform that is secure and trustworthy, which is designed for responsible ML. Productivity for all levels, code-first and drag and drop designer, and automated machine-learning. Robust MLOps capabilities integrate with existing DevOps processes to help manage the entire ML lifecycle. Responsible ML capabilities – understand models with interpretability, fairness, and protect data with differential privacy, confidential computing, as well as control the ML cycle with datasheets and audit trials. Open-source languages and frameworks supported by the best in class, including MLflow and Kubeflow, ONNX and PyTorch. TensorFlow and Python are also supported.

Acuvity provides the most comprehensive AI governance and security platform for your employees and apps. DevSecOps allows developers to focus on AI Innovation while DevSecOps implements AI Security without code changes. Pluggable AI security ensures complete coverage without outdated libraries or inadequate coverage. By utilizing GPUs only to run LLM models, you can reduce costs. Full visibility of all GenAI models and apps, plugins and services that are being used and explored by your teams. Granular observability of all GenAI interactions, with comprehensive logging. AI usage in enterprises needs a specialized framework that can address new AI risks and comply with emerging AI regulation. Employees can use AI with confidence, without exposing confidential information. Legal wants to make sure that AI-generated content is free of copyright or regulatory issues.

ModelOp is a leading AI governance tool that helps enterprises safeguard AI initiatives including generative AI and Large Language Models. It also protects in-house vendors, third-party vendors and embedded systems without stifling the innovation. Corporate boards and C suites demand the rapid adoption of generative AI, but face financial risks, regulatory, privacy, security, and ethical issues. Governments at all levels, including federal, state and local, are implementing AI regulations and overseeing the industry quickly. This forces enterprises to prepare and comply with rules that prevent AI from going awry. Connect with AI Governance specialists to stay informed on market trends, regulations and news. You can also get insights and opinions from experts. ModelOp Center helps organizations stay safe and provides peace of mind for all stakeholders. Streamline reporting and compliance across the enterprise.

Every model requires governance to ensure ethical and responsible decision-making in the business. IBM® watsonx.governance™ toolkit for AI governance allows you to direct, manage and monitor your organization's AI activities. It uses software automation to enhance your ability to mitigate risk, manage regulatory requirements, and address ethical concerns when it comes to both generative AI (ML) and machine learning models. Access automated and scalable compliance, governance and risk tools that cover financial management, IT governance, IT governance, operational risk and policy management. Proactively detect model risks and mitigate them while translating AI regulations to enforceable policies that can be enforced automatically.

Responsible AI is a business problem and not a technical problem. We solve the problem by connecting teams to one platform, allowing you to reduce risk, maximize your potential, and put your intentions into action. Cloud-based governance applications can unite every stage of your AI/ML journey. GovernML is the catalyst you need to bring AI/ML systems to the world. We offer user-friendly workflows that track the entire lifecycle of your AI journey. This is good news for your bottom line and risk mitigation. Monitaur offers cloud-based governance solutions that track your AI/ML model from policy to proof. SOC 2 Type II certified, we can enhance your AI governance and provide bespoke solutions through a single platform. GovernML is responsible AI/ML systems that are available to the world. You can now create scalable, user-friendly workflows to document the entire lifecycle of your AI journey from one platform.

55% of organizations adopt AI to remain competitive. Harmonic equips security teams with robust tools to ensure secure implementation. Harmonic's security reach is extended as employees adopt new tools, particularly from remote locations. Harmonic ensures that no shadow AI escapes detection. Harmonic's advanced security measures will help you to minimize the risk of data exposure, and ensure compliance. Your sensitive information will remain private and secure. The traditional data security methods cannot keep up with the rapid advances in AI. Many security teams are stuck with broad, restrictive measures which severely impact productivity. Harmonic offers a smarter solution. Our solutions give security professionals the visibility and tools they need to protect sensitive, unstructured information effectively without compromising efficiency.

Manage data security and risk across your entire stack. Data collection and data shaping occurs in your customer-facing assets. Source code with data flow and third-party components. Data breaches, the sharing/selling of information and targeted advertising without consent are all factors that contribute to a lack of trust in how companies handle their data. Don't lose your customers' trust if you expose them to privacy risks. Our data protection plans will protect sensitive information for your organization and ensure their privacy. Our privacy program will protect all the data of your business. Our privacy compliance software will protect your enterprise from fines if you do not comply with security policies. Zendata's platform does not require any code to protect your customers' information and ensure compliance.

Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their models and build trust into AI. The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue.

Scale the next generation of AI applications with confidence. Scale AI with confidence across your organization using industry-leading technologies that manage risk, improve accuracy and privacy, reinforce transparency and simplify compliance. Use templates and tools that integrate responsible AI into open source, machine-learning operations, and generative AI workflows to empower cross-functional teams in building the next generation of AI apps. With Azure security and tooling for responsible AI, you can detect and mitigate harmful usage. Monitor text and images for offensive or inappropriate content. Rapid machine-learning models can be deployed and seamless collaboration is enabled with prompt flow. This accelerates time to value. Create generative AI applications, and copilots on one platform.

Our easy-to-implement AI Governance Control Plane ensures AI usage adheres to corporate policies. SurePath AI helps you to reduce complexity, gain visibility and increase AI adoption in a secure manner. Native integrations with your existing security solutions. Private models and enterprise data sources. Native support for SSO, SCIM and SIEM. Detect AI usage at the network level. Control access to sensitive data and inspect requests. Redact sensitive data from requests to public models. Modifications in-line of requests can be made to improve productivity and reduce risk. Redirect traffic to private AI models. Use SurePath AI’s private model access control as your own, internally branded enterprise AI Portal. Policy-based controls enrich request with only enterprise data that users have been granted access to. This gives meaningful responses based upon relevant business context. Users' prompts will automatically be enhanced to align output with enterprise objectives.

WitnessAI builds the guardrails to make AI productive, safe, and usable. Our platform allows enterprises the freedom to innovate, while enjoying the power of generative artificial intelligence, without compromising on privacy or security. With full visibility of applications and usage, you can monitor and audit AI activity. Enforce a consistent and acceptable use policy for data, topics, usage, etc. Protect your chatbots, employee activity, and data from misuse and attack. WitnessAI is building an international team of experts, engineers and problem solvers. Our goal is to build an industry-leading AI platform that maximizes AI's benefits while minimizing its risks. WitnessAI is a collection of security microservices which can be deployed in your environment on-premise, in a sandbox in the cloud, or within your VPC to ensure that data and activity telemetry remain separate from other customers. WitnessAI, unlike other AI governance solutions provides regulatory separation of your information.

You can build, run, and manage AI models and optimize decisions across any cloud. IBM Watson Studio allows you to deploy AI anywhere with IBM Cloud Pak®, the IBM data and AI platform. Open, flexible, multicloud architecture allows you to unite teams, simplify the AI lifecycle management, and accelerate time-to-value. ModelOps pipelines automate the AI lifecycle. AutoAI accelerates data science development. AutoAI allows you to create and programmatically build models. One-click integration allows you to deploy and run models. Promoting AI governance through fair and explicable AI. Optimizing decisions can improve business results. Open source frameworks such as PyTorch and TensorFlow can be used, as well as scikit-learn. You can combine the development tools, including popular IDEs and Jupyter notebooks. JupterLab and CLIs. This includes languages like Python, R, and Scala. IBM Watson Studio automates the management of the AI lifecycle to help you build and scale AI with trust.

Simplified quality assurance for machine learning. Snitch eliminates all noise so you can find the most relevant information to improve your models. With powerful dashboards and analysis, you can track your model's performance beyond accuracy. Identify potential problems in your data pipeline or distribution shifts and fix them before they impact your predictions. Once you've deployed, stay in production and have visibility to your models and data throughout the entire cycle. You can keep your data safe, whether it's cloud, on-prem or private cloud. Use the tools you love to integrate Snitch into your MLops process! We make it easy to get up and running quickly. Sometimes accuracy can be misleading. Before you deploy your models, make sure to assess their robustness and importance. Get actionable insights that will help you improve your models. Compare your models against historical metrics.

Azure AI Content Security is a platform for content moderation that uses AI to ensure your content remains safe. AI models can detect offensive or inappropriate text and images in seconds, allowing you to create better online experiences. Language models analyze multilingual texts, both in short and long form with an understanding of context, semantics, and syntax. Using the latest Florence technology, vision models can recognize images and detect objects. AI content classifiers can identify content that is sexual, violent, hateful, or self-harming with high levels granularity. The severity of content moderation is measured on a scale from low to high.

Empowering AI governance leaders with advanced insights & risk intelligence to drive responsible AI innovation and compliance.

Datatron provides tools and features that are built from scratch to help you make machine learning in production a reality. Many teams realize that there is more to deploying models than just the manual task. Datatron provides a single platform that manages all your ML, AI and Data Science models in production. We can help you automate, optimize and accelerate your ML model production to ensure they run smoothly and efficiently. Data Scientists can use a variety frameworks to create the best models. We support any framework you use to build a model (e.g. TensorFlow and H2O, Scikit-Learn and SAS are supported. Explore models that were created and uploaded by your data scientists, all from one central repository. In just a few clicks, you can create scalable model deployments. You can deploy models using any language or framework. Your model performance will help you make better decisions.

Modulos AG, established in 2018, stands as a Swiss leader in Responsible AI Governance and is the inaugural AI Governance platform to receive ISO 42001 certification. The organization is dedicated to equipping businesses with the tools necessary to manage AI products and services responsibly within regulated settings, thereby enhancing and expediting the AI compliance process. The platform allows organizations to effectively oversee risks and adhere to essential regulatory frameworks, including the EU AI Act, NIST AI RMF, ISO 42001, among others. Consequently, Modulos aids its clients in mitigating economic, legal, and reputational risks, thereby promoting trust and ensuring long-term success in their AI initiatives.

Standardize your AI governance efforts across different stakeholders, ensure regulatory readiness for your governance processes, and manage and measure your AI compliance and risks. You can transform your AI/ML projects from being managed by a variety of teams and processes into a centralized repository for trusted governance. Keep up-to-date on the latest regulations and standards by downloading AI Policy Packs. These packs meet all current and future regulations. Credo AI is an intelligence layer which sits on top your AI infrastructure and converts technical artifacts to actionable risk and compliance insights for product leaders and data scientists as well as governance teams. Credo AI is an intelligence layer which sits on top your technical and business infrastructure. It converts technical artifacts into compliance scores and risk scores.

CoComply’s Certification Platform offers a top-down perspective on data and AI criticality. It guides organizations through a four phase process to achieve governance and certification readiness, as well as monetization ready for their data assets and AI assets. The platform is designed to streamline Data and AI Governance. It helps organizations organize, maintain, and certify assets in accordance with regulatory standards and complying with compliance requirements. The platform is powered primarily by two modules: 1) Regulatory Intelligence 2) Certification Management CoComply offers organizations a systematic path to achieve compliance, audit-readiness, and certification for their data and AI assets. Since 2008, more than 200 data and AI usage cases have been certified by our certification framework for compliance and risk.

SolasAI software detects and removes discrimination & bias from a customer’s decisioning models. It can be used in a variety of applications, including credit & insurance underwriting and predictive marketing. We provide trust and transparency in artificial intelligence, machine-learning, and standard statistical model. SolasAI can help you if you're tired of paying for expensive experts that don't agree and then leaving the hard work of fixing problems to your expensive data scientists who are overworked. We keep up with the latest signals and decisions from courts, regulators and law makers as well as the newest and best technology trends in AI and fairness. SolasAI has this built in so you don't need to do it yourself.

Observability allows you to detect data issues and ML problems faster, to deliver continuous improvements and to avoid costly incidents. Start with reliable data. Monitor data in motion for quality issues. Pinpoint data and models drift. Identify the training-serving skew, and proactively retrain. Monitor key performance metrics continuously to detect model accuracy degradation. Identify and prevent data leakage in generative AI applications. Protect your generative AI apps from malicious actions. Improve AI applications by using user feedback, monitoring and cross-team collaboration. Integrate in just minutes with agents that analyze raw data, without moving or replicating it. This ensures privacy and security. Use the proprietary privacy-preserving technology to integrate the WhyLabs SaaS Platform with any use case. Security approved by healthcare and banks.

Our easy-to-use monitor builder allows you to create customized monitors for your machinelearning models. Get alerts for issues such as concept drift, model performance degradation and bias. Aporia can seamlessly integrate with any ML infrastructure. It doesn't matter if it's a FastAPI server built on top of Kubernetes or an open-source deployment tool such as MLFlow, or a machine-learning platform like AWS Sagemaker. Zoom in on specific data segments to track the model's behavior. Unexpected biases, underperformance, drifting characteristics, and data integrity issues can be identified. You need the right tools to quickly identify the root cause of problems in your ML models. Our investigation toolbox allows you to go deeper than model monitoring and take a deep look at model performance, data segments or distribution.

Unutilized data is the biggest obstacle to scaling AI-powered decision making. IBM Cloud Pak®, for Data is a unified platform that provides a data fabric to connect, access and move siloed data across multiple clouds or on premises. Automate policy enforcement and discovery to simplify access to data. A modern cloud data warehouse integrates to accelerate insights. All data can be protected with privacy and usage policy enforcement. To gain faster insights, use a modern, high-performance cloud storage data warehouse. Data scientists, analysts, and developers can use a single platform to create, deploy, and manage trusted AI models in any cloud.

Data analysts, engineers, scientists, and other scientists can be brought together. Automate self-service analytics and machine learning operations. Get results today, build for tomorrow. Dataiku DSS is a collaborative data science platform that allows data scientists, engineers, and data analysts to create, prototype, build, then deliver their data products more efficiently. Use notebooks (Python, R, Spark, Scala, Hive, etc.) You can also use a drag-and-drop visual interface or Python, R, Spark, Scala, Hive notebooks at every step of the predictive dataflow prototyping procedure - from wrangling to analysis and modeling. Visually profile the data at each stage of the analysis. Interactively explore your data and chart it using 25+ built in charts. Use 80+ built-in functions to prepare, enrich, blend, clean, and clean your data. Make use of Machine Learning technologies such as Scikit-Learn (MLlib), TensorFlow and Keras. In a visual UI. You can build and optimize models in Python or R, and integrate any external library of ML through code APIs.

Use Qlik®, Staige™, to make AI real. It will provide a trusted foundation for data, automation, actionable forecasts, and a company-wide impact. AI is not just experiments and initiatives - it's a whole ecosystem of files, scripts and results. We've partnered up with the best sources to provide you with integrations that will save time, enable better management, and validate the quality of your data. Automate the delivery and management of real-time AWS data to data lakes or warehouses, and make this data easily accessible via a governed catalogue. With our new integration with Amazon Bedrock you can easily connect foundational large-language models (LLMs), including A21 Labs Amazon Titan, Anthropic Cohere and Meta. AWS customers can leverage AI-driven insights with ease using seamless integration with Amazon Bedrock.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

Mind Foundry is an artificial Intelligence company that combines research, innovation, usability, and usability to empower teams using AI that is built for people. Mind Foundry was founded by world-leading academics. It develops AI solutions to help public and private sector organisations tackle high-stakes issues. Mind Foundry focuses on human outcomes and long-term impacts of AI interventions. Our platform is intrinsically collaborative and powers AI design, testing, and deployment. It enables stakeholders to responsibly manage their AI investments with a key focus on performance and efficiency as well as ethical impact. It is based on scientific principles and the understanding that ethics and transparency can only be added after the fact. The combination of quantitative and experience design makes collaboration between humans, AI and AI easier, more efficient, and more powerful.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

With a best-in class cloud platform, streamline cybersecurity assessments and transform your practice so you can serve more clients. You can identify, analyze, and mitigate cybersecurity risk with full transparency. Flexible, out-of-the box workflows and controls allow for flexibility while increasing efficiency. Create a repeatable cybersecurity assessment process that is tailored to your organization's needs. You can see the risk profile of your organization across business units, third parties, and regions. All assessments, documents, policies, and issues should be gathered and stored in a central repository. Analytics, alerts, and collaboration can be used to prevent exceptions. You can use pre-built or pre-seeded industry assessment template templates or upload your standard practice questionnaire. There are many options for assessments. These include self assessments, onsite assessments and others.

You can now build what took years. Simple, customizable, scalable, secure, ML monitoring. Everything you need to deploy and maintain ML in production. Superwise integrates with any ML stack, and can connect to any number of communication tools. Want to go further? Superwise is API-first. All of our APIs allow you to access everything, and we mean everything. All this from the comfort of your cloud. You have complete control over ML monitoring. You can set up metrics and policies using our SDK and APIs. Or, you can simply choose a template to monitor and adjust the sensitivity, conditions and alert channels. Get Superwise or contact us for more information. Superwise's ML monitoring policy templates allow you to quickly create alerts. You can choose from dozens pre-built monitors, ranging from data drift and equal opportunity, or you can customize policies to include your domain expertise.

The HITRUST XChange Manager, an online portal that facilitates real-time collaboration between organizations as well as their entire supply chain, is designed to allow efficient management of risk assurance information exchange and continuous monitoring of third party risk. This portal is unique in that it is both modular and comprehensive, and includes the three essential components of people, process and technology. The HITRUST Third Party risk management methodology will help you make better decisions about your risk. The HITRUST AssessmentXChange is intended to be an extension of a third-party risk management plan. The XChange team simplifies and streamlines the process of managing third-party compliance information and risk assessment. Engage third parties effectively and identify the individual(s) responsible to respond to requests for compliance information and risk assessments.

Auditive is a Third Party Risk Management (TPRM), a platform that monitors continuously, enabling buyers and sellers to engage in a way they have never done before. Auditive's unique approach to risk management eliminates 80% the work for both businesses and vendors. Buyers can complete their third-party review four times faster. They can also monitor risk across the entire vendor portfolio and gain near-instant insight into third-party risks. This results in a 35% rise in vendor response rates. Sellers can benefit from avoiding repetitive questionnaires and focusing on high value initiatives. They can also market their security posture via the Auditive network and build trust with customers. The platform allows for evaluation against industry-specific standards, ensuring accurate assessment of risk. Auditive integrates seamlessly into procurement and productivity workflows. This allows for rapid onboarding of vendors and continuous monitoring in one place.

Clients have all the tools they need to run a thorough, cyber-security-led, third party risk management program against their entire supply chain. It is fast, easy, free, and simple for third parties to get involved and help them improve their risk management maturity. Our unique secure network model allows each organisation to run a third party risk management program and respond to client risks assessments. This creates trust relationships among the organisations on the platform. Organisations that run a third-party program for risk management on the Risk Ledger platform can benefit from: - Continuous monitoring of the supply chain for implementation of risk controls Visibility beyond third-parties to fourth-, fifth-, and sixth parties - Reduced procurement cycles by up to 80% - Increased supplier engagement Low per-supplier costs

Prevalent Third-Party Risk Management Platform enables customers automate the critical tasks of managing, assessing and monitoring third parties throughout their entire life cycle. This solution integrates the following capabilities to ensure that third parties are compliant and secure: * Automated onboarding/offboarding * Profiling, tiering, and inherent risk scoring * Standardized and custom vendor risk assessments, with built-in workflow and task management * Continuous vendor threat monitoring * A network of completed standardized assessments, and risk intelligence members. * Compliance and risk reporting * Management of remediation Expert professional services are available to optimize and mature third party risk management programs. Managed services can be outsourced to collect and analyze vendor assessments.

ISG GovernX®, the first third-party management platform, allows you to proactively optimize your supplier relationships, reduce risks, and manage the contract cycle with speed and agility. Take control of your third party environment, increase supplier performance, and decrease spend. Leverage ISG’s insights and knowledge derived from more than $460 million worth of enterprise client-supplier transactions. Automate the entire process of third-party risk management. Reduce your operational, reputational, and financial risk exposure by automating third-party risk management. Automating your workflow, integration and on-going notifications will make it easier to manage onboarding, assessments, remediations, performance monitoring, and reviews. Keep track of and monitor your third-party portfolio. In one dashboard, manage and orchestrate your complex third-party relationships.

SimpleRisk offers a versatile, open-source solution for managing risk effectively, meeting the needs of both small teams and large enterprises. It guides users through the full spectrum of risk management, including identification, assessment, scoring, and treatment. Equipped with intuitive dashboards and flexible reporting tools, SimpleRisk empowers organizations to monitor, track, and address cybersecurity and operational risks. With configurable metrics and automated reporting, users can prioritize and mitigate risks in alignment with industry standards like ISO 27005. SimpleRisk’s scalability and flexibility make it compatible with existing workflows, integrating easily with tools such as Jira, Rapid7 Nexpose and InsightVM, Qualys, and Tenable.io to enhance functionality. Regular updates, a straightforward interface, and support for compliance frameworks make it accessible yet robust for diverse organizational needs. Ideal for those seeking an affordable, adaptive risk management platform, SimpleRisk stands out as a powerful choice in today’s complex risk landscape.

Compliance is more than just avoiding fines and business. It's about improving your operational performance. Good Governance, Risk & Compliance (GRC), outperforms customers' expectations and the market. It is not possible to do it in spreadsheets. Organisations continue to manage large numbers of GRC processes manually, which can lead to inefficiency and lack of visibility. FirmGuard's tech-enabled GRC solution offers a quicker, more accurate, and cheaper way to achieve compliance. Best practice templates are easy to use and provide complete visibility into your GRC landscape from a single window. FirmGuard provides central access to risk management, third-party risk management (TPRM), and compliance applications using award-winning technology. Non-compliance issues are increasingly coming from outside your business. It is crucial to manage third party risk. It can also tax resources.

scoutPRIME®, which provides a holistic, constantly-on, "outside in" view of the internet infrastructure that you care about, including your third-party vendors and supply chain, enables you to assess your external threat landscape and provide continuous situational awareness to help you understand your current attack surface as well as your risk exposure. Using unique foot-printing capabilities, mapping tools, and scoutPRIME, your operators and analysts can identify vulnerabilities and risks across the entire internet. Then overlay those findings with top-tier threat information to highlight areas of concern. This will help you prioritize your mitigations. You need to go beyond a risk score. scoutPRIME's extensive capabilities allow you to dig deeper and understand the cyber posture of both your organization and that of your third-party vendors to identify and manage risk holistically.

Aithenticate, a tool for bringing transparency to AI content allows users to disclose artificial intelligence use and achieve greater compliance to AI regulations. Aithenticate allows website owners to easily communicate with their readers whether content is created by humans or AI. This ensures clarity and trust in information provided. The plugin includes features such as a WordPress plug-in that manages AI transparency, a company profile page detailing information about the business and AI usage, and disclosure generators to create concise statements regarding AI-assisted creation of content. Our plugin allows you to easily communicate the nature of content creation to your readers, ensuring trust and clarity in the information provided. Our generator will produce a brief disclosure to inform users that a website was created with the aid of AI technology.

Patch Management is an easy-to use solution to manage vulnerabilities in operating systems and third party applications on Windows servers and workstations. It covers all aspects of patch management, including identifying, assessing and reporting on vulnerabilities, managing them, deploying them, and resolving security risks. Your organization's prevention and containment capabilities will be strengthened by reducing the attack surface and containing and mitigating vulnerability exploitation attacks. A centralized and real-time view of the security status of software vulnerabilities. This includes missing patches, updates, and unsupported software. Audit, monitor, and prioritize updates to operating systems and applications.

Streamline your due diligence and risk assessments, and transform your practice to better serve clients using a best-in class cloud platform. You can identify, analyze, and mitigate risk with full transparency. Flexible, out-of-the box workflows and controls allow for flexibility while increasing efficiency. The cloud platform allows for process and assessment automation. Upload your own questionnaire or choose from a library of templates and customize. Schedule questionnaires to be published to partners. Automate grading using a proprietary scale. Assess360 is one application for all parties (responders can use Assess360 for free), making it easier for you and your third party. With complete approval workflows, third parties can assign sections to different groups. You can allow third parties to collaborate with you and internally. They can attach documents and keep track of their progress.

RiskProfiler can help you identify shadow risks and increase your brand's reputation and cyber risk rating by using the power of AI. RiskProfiler tracks your digital presence on the dark, surface and deep webs. You can eliminate shadow risks before hackers do. The collected reconnaissance information is used for the discovery and fingerprinting of an organization's digital footprint. Assets are then grouped based on fingerprint information. Risk Profiler's proprietary attack simulator runs passive scans and identifies security problems per asset without any complicated deployments, configurations or disruption of business operations. AI Models are used for filtering out false positives and providing actionable insights based upon threats across the surface, dark, and deep web.

Vender management , creator Anders Norremo. Excellent software. To track vendors and their security weaknesses/strengths. Service is also available if you pay.