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HyperproofCompliance work eats engineering time. Hyperproof exists to give that time back by automating the parts of GRC that don't need a human: pulling evidence out of GitHub, Jira, ServiceNow, Snyk, and cloud storage on a schedule, running recurring tests against high-frequency controls, and kicking off a task automatically the moment something fails instead of waiting for the next audit cycle to find out. Under the hood, Hyperproof maps one control to 160+ frameworks (SOC 2, ISO 27001, HIPAA, NIST, and others), so a control tested once can satisfy several standards instead of forcing teams to rebuild the same work per framework. AI agents handle the first pass on evidence review and gap-flagging, leaving humans to make the actual judgment calls rather than hunting down documentation. Teams using it report cutting audit prep by roughly 350 hours a year, a 66% drop in duplicate controls, and about $150K saved annually on control orchestration. It also scales to messier org charts, with the ability to scope controls by business unit or entity instead of flattening everything into one program. Built in 2018 out of the Seattle area, Hyperproof is used by engineering and security-heavy orgs like Reddit, Fortinet, Appian, and Outreach that are tired of treating compliance as a manual, spreadsheet and email process and want it to run more like the rest of their infrastructure: automated, monitored, and auditable.
Description
A platform for AI governance created by legal professionals with expertise in regulatory matters, customized to fit your specific use cases and policies. Companies must adapt to and adhere to emerging legislation and guidelines effectively. If AI systems malfunction, organizations face the risk of losing customer trust and experiencing reduced product engagement. Teams are challenged by the growing complexity of AI systems, which now have a broader range of use cases than ever before. You can ensure the compliance of your AI systems by utilizing our assessments and real-time model controls. Users can be alerted to potential issues or risks to mitigate any negative impacts. Although establishing strong AI governance practices can be a lengthy process, our built-in automation streamlines the importation of model data and artifacts, allowing for easy documentation review and updates. It is crucial to grasp AI compliance throughout your organization. Senior stakeholders should be equipped with comprehensive insights on AI compliance to make informed strategic decisions and distribute reports to targeted audiences. We provide a robust array of policies that guarantee legal and regulatory compliance through our ready-to-use assessments. Additionally, our platform supports ongoing education and training, ensuring that all team members stay informed about the latest developments in AI governance and compliance practices.
Description
ModelOp stands at the forefront of AI governance solutions, empowering businesses to protect their AI projects, including generative AI and Large Language Models (LLMs), while promoting innovation. As corporate leaders push for swift integration of generative AI, they encounter various challenges such as financial implications, regulatory compliance, security concerns, privacy issues, ethical dilemmas, and potential brand damage. With governments at global, federal, state, and local levels rapidly establishing AI regulations and oversight, organizations must act promptly to align with these emerging guidelines aimed at mitigating AI-related risks. Engaging with AI Governance specialists can keep you updated on market dynamics, regulatory changes, news, research, and valuable perspectives that facilitate a careful navigation of the benefits and hazards of enterprise AI. ModelOp Center not only ensures organizational safety but also instills confidence among all stakeholders involved. By enhancing the processes of reporting, monitoring, and compliance across the enterprise, businesses can foster a culture of responsible AI usage. In a landscape that evolves quickly, staying informed and compliant is essential for sustainable success.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Aidoc
No
Amazon EKS
No
Amazon S3
No
Apache Kafka
No
Azure Machine Learning
No
Bitbucket
No
C++
No
GitLab
No
Google Kubernetes Engine (GKE)
No
Jenkins
No
Integrations
Aidoc
Yes
Amazon EKS
Yes
Amazon S3
Yes
Apache Kafka
Yes
Azure Machine Learning
Yes
Bitbucket
Yes
C++
Yes
GitLab
Yes
Google Kubernetes Engine (GKE)
Yes
Jenkins
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Enzai
Country
Ireland
Website
www.enz.ai/
Vendor Details
Company Name
ModelOp
Country
United States
Website
www.modelop.com
