Adeptiv.AI
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AI Governance platform automatically discovers AI inventory, automates compliance, manages AI risks, and continuously monitors model behaviour โ ensuring every AI system you deploy remains trusted, safe, and audit-ready.
Our AI-powered platform discovers AI systems, auto-maps 30+ global regulations, generates and manages AI-specific risks, evaluates model behaviour in real time, produces audit-ready compliance, and much more.
Adeptiv.AI
GitHubAdeptiv.AI's answer
Adeptiv.AI unifies AI governance, risk, compliance, and continuous monitoring into a single enterprise-grade platform that operationalizes Responsible AI at scale.
Adeptiv.AI's answer
We deliver deep regulatory alignment, automated oversight, and real-time model intelligenceโcapabilities most competitors only offer as fragmented add-ons.
Adeptiv.AI's answer
Enterprises running high-impact AI systems, including CTOs, CISOs, Compliance Leaders, Risk Officers, and AI/ML teams seeking governance-level assurance.
Adeptiv.AI's answer
Adeptiv.AI was founded to close the global gap between rapid AI adoption and the absence of scalable, accountable governance frameworks across industries.
Adeptiv.AI's answer
Our platform is built using a modern ML-native architecture with Python, FastAPI, React, Kubernetes, and advanced monitoring pipelines powered by LLM/ML inference engines.
Adeptiv.AI's answer
Large enterprises running regulated AI workflows
Financial institutions deploying risk-critical models
Healthcare and biotech companies requiring audit-grade oversight
Government and public-sector bodies implementing Responsible AI
Global SaaS providers modernising AI governance
Based on our record, GitHub seems to be more popular. It has been mentiond 2463 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 4 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 5 days ago
## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 14 days ago
Conclusion Next time Git insists a private repository doesn't exist, skip editing your config file and head straight to the Windows Credential Manager. Wiping out the stale git:https://github.com entry forces a clean handshake, getting you back to coding in less than a minute. - Source: dev.to / 14 days ago
Gitea is where all private repositories live: infra configs, personal projects, anything I don't want on a third-party server. Public projects still go to GitHub because that's where the audience is, but a number of those GitHub repositories are mirrored back to Gitea as a local backup. The split is simple: Gitea for control and resilience, GitHub for reach. - Source: dev.to / 15 days ago
AI Compliance Advisor - Get your compliance analysis in 60 seconds. AI-powered framework detection and risk assessment.
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