Chandigarh, India
2024
Enterprise Software, Governance Risk & Compliance, Information Technology, Financial Services, Healthcare, Technology
Adeptiv AI is an AI governance and risk management company that develops software for organizations deploying artificial intelligence systems. Its platform brings AI inventory, risk assessment, regulatory compliance, monitoring, and governance workflows into a centralized environment. Adeptiv AI focuses on responsible AI and regulatory compliance, helping organizations manage AI systems throughout their lifecycle while aligning them with frameworks such as the EU AI Act, ISO/IEC 42001, and NIST AI RMF.
Adeptiv AI provides organizations with tools to discover, assess, govern, and monitor AI systems across their operations. The platform maintains an AI inventory, performs risk assessments, maps AI systems to regulatory requirements, manages governance controls and evidence, and monitors deployed systems.
It also addresses third-party and shadow AI by helping organizations identify AI applications that may otherwise fall outside formal governance processes. For production systems, Adeptiv provides continuous AI observability, including monitoring for issues such as hallucinations, bias drift, personally identifiable information exposure, and prompt injection. These capabilities give compliance, engineering, risk, and audit teams a shared system for managing AI governance.
Adeptiv AI’s technology centers on a software platform that connects governance activities across the entire AI lifecycle, from initial discovery and assessment through deployment, monitoring, and retirement. The platform can automatically discover AI systems and maintain a centralized inventory that organizations can use as the foundation of their governance program.
Its risk-management capabilities use Adeptiv’s 12-Pillar Framework and a database of more than 2,000 AI risks to evaluate areas including privacy, security, bias, and compliance. Regulatory mapping connects AI assets and governance controls with requirements from 38+ regulations and standards, including the EU AI Act, ISO/IEC 42001, and NIST AI RMF.
For deployed systems, Adeptiv uses a runtime observability SDK to continuously monitor AI behavior. The company says its monitoring covers more than 30 metrics and can identify problems such as hallucinations, bias drift, PII exposure, and prompt injection. The platform also automates evidence collection and documentation so governance records can remain connected to individual AI systems and their applicable controls.
As organizations deploy more AI systems, governance is becoming a technical and operational layer of enterprise AI rather than simply a compliance exercise performed after deployment. Adeptiv AI addresses this shift by combining AI discovery, governance, compliance, and production monitoring within one system.
This is particularly relevant as organizations need to understand which AI systems they operate, what risks those systems introduce, and which regulatory requirements apply to them. Adeptiv’s approach also extends governance to third-party AI and continuously operating AI systems, reflecting the broader move toward lifecycle-based oversight rather than periodic manual reviews. That makes the company relevant to the emerging technology infrastructure developing around responsible enterprise AI.
The company’s primary product is the Adeptiv AI Governance Platform, which provides a centralized environment for managing AI governance from discovery through production. It combines AI inventory management, lifecycle governance, risk assessment, regulatory compliance, controls, evidence management, vendor assessment, and observability.
This capability is designed to automatically identify AI systems, models, and shadow AI applications within an organization and maintain them in a continuously updated AI register. The inventory provides organizations with a record of the AI technologies that need to be assessed and governed.
Adeptiv’s risk assessment capability performs automated risk profiling and gap analysis across areas including bias, privacy, security, and regulatory compliance. Risk assessments can be incorporated into governance workflows so identified issues can be routed to appropriate stakeholders.
The regulatory compliance component maps AI systems and controls against 38+ global AI regulations and standards. Adeptiv specifically identifies frameworks including the EU AI Act, ISO/IEC 42001, NIST AI RMF, and OECD AI Principles among those covered by its governance environment.
Adeptiv AI’s platform is primarily designed for organizations deploying AI in environments where risk, auditability, and regulatory requirements are significant. The company identifies financial services and healthcare among its application areas.
Examples described by Adeptiv include governance for AI-driven credit risk systems, investment research and advisory copilots, AI-powered electronic health record analysis, patient-summary systems, and AI hiring and recruitment agents. Across these applications, the platform can be used to classify AI risk, document controls, monitor production behavior, collect governance evidence, and map systems against applicable regulatory requirements.
Adeptiv AI says its platform provides coverage across more than 38 global regulations and standards. Its published materials specifically reference the EU AI Act, ISO/IEC 42001, NIST AI RMF, and OECD AI Principles, along with other regulatory frameworks.
Yes. Adeptiv’s AI discovery and inventory functionality is designed to identify AI systems, models, and shadow applications operating across an organization and place them into a centralized AI register for governance.
Yes. Adeptiv provides real-time AI observability for production systems. Its runtime monitoring can track more than 30 metrics and identify issues including hallucinations, bias drift, PII exposure, and prompt injection.
Yes. Its AI Vendor Risk Assessment capability is designed to evaluate and monitor third-party AI models and AI-enabled enterprise software, extending governance to systems that organizations obtain from external vendors.
Yes. The platform’s Controls & Evidence functionality can collect, validate, and organize governance evidence against mapped controls, helping organizations maintain documentation as their AI systems and regulatory requirements change.
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