Onspring
The GRC software you've been looking for: Onspring. A flexible, no-code, cloud-based platform, ranked #1 in GRC delivery for 5 years running.
Easily manage and share information for risk-based decision-making, monitor risk evaluations and remediation results in real-time, and create reports with with KPIs and single-clicks into details.
Whether leaving an existing platform or implementing GRC software for the first time, Onspring has the technology, transparency, and service-minded approach you need to achieve your goals rapidly.
Our ready-made product products are designed to get you going as fast as 30 days.
SOC, SOX, NIST, ISO, CMMC, NERC, HIPAA, PCI, GDPR, CCPA - name any regulation, framework, or standard, and you can capture, test, and report on controls and then activate remediation of risk findings.
Onspring customers love the no-code platform because they can make changes on the fly and build new workflows or reports in minutes, all on their own without the need for IT or developers. When you need nimble, flexible, and fast, Onspring is the best software option on the market.
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Resolver
Over 1,000 organizations worldwide depend on Resolver’s security, risk and compliance software. From healthcare and hospitals to academic institutions, and critical infrastructure organizations including airports, utilities, manufacturers, hospitality, technology, financial services and retail. For security and risk leaders who are looking for a new way to manage incidents and risks, Resolver will help you move from incidents to insights.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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Hive Moderation
Hive presents a comprehensive approach to safeguarding your platform. By harnessing the power of the largest global distributed workforce dedicated to labeling data, we are setting new standards in automated content moderation. Our offerings include top-tier models combined with manual moderation, enabling us to deliver scalable solutions that surpass the capabilities of traditional business process outsourcing (BPO) contract workers.
Moreover, alongside our leading models, our extensive workforce is equipped to address a wide range of manual moderation requirements. From overseeing user-generated content to annotating large volumes of training data, our decentralized system and consensus-driven policy ensure an unparalleled level of accuracy that outshines our competitors. This unique blend of technology and human expertise positions us as a frontrunner in the industry.
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