IBM watsonx.governance
While not all models are created equal, every model needs governance to drive responsible and ethical decision-making throughout the business. IBM® watsonx.governance™ toolkit for AI governance allows you to direct, manage and monitor your organization’s AI activities. It employs software automation to strengthen your ability to mitigate risks, manage regulatory requirements and address ethical concerns for both generative AI and machine learning (ML) models. Access automated and scalable governance, risk and compliance tools that cover operational risk, policy management, compliance, financial management, IT governance and internal or external audits. Proactively detect and mitigate model risks while translating AI regulations into enforceable policies for automatic enforcement.
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asqav
asqav is an AI governance and security platform designed to make AI agents audit-ready by providing real-time monitoring, enforcement, and verifiable proof of every action taken by an agent. It introduces a lightweight SDK that allows developers to integrate governance directly into their agents in just a few lines of code, enabling continuous oversight across the full lifecycle of AI operations. It includes behavioral monitoring to detect issues such as drift, rate limits, and scope violations, along with advanced threat detection that identifies prompt injections, exposure of sensitive data, toxic outputs, and other risks. It enforces policy through configurable “policy gates,” which apply per-agent rules, preflight checks, and dynamic approvals before actions are executed, ensuring that agents operate within defined boundaries. asqav also provides automated incident response capabilities, including the ability to suspend, quarantine, or escalate risky agents.
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OpenBox
OpenBox is an enterprise-grade AI governance platform designed to make AI systems transparent, auditable, and safe to deploy at scale by enforcing real-time oversight across every agent action and system interaction. It provides a unified governance layer that connects identity, policy, risk, and compliance into a single runtime system, eliminating the fragmentation typically found across multiple tools and enabling organizations to standardize control over AI behavior. It integrates directly into existing AI workflows through a lightweight SDK, requiring no architectural changes, and immediately delivers full visibility into how AI agents operate, make decisions, and interact with other systems. OpenBox monitors and evaluates every action before execution, applying policy enforcement and regulatory checks in real time to prevent non-compliant or risky behavior rather than reacting after errors occur.
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ZeroDrift
ZeroDrift is an enforcement runtime for AI that checks every AI-generated message against the regulations and company policies that apply before the message is sent. Its Anchor compliance enforcement model combines a purpose-built small language model with a deterministic rules engine to evaluate outputs and return one of four decisions: pass, rewrite, block, or escalate. Every verdict cites the exact rule behind the decision, and rewritten content is checked again before delivery. Organizations can define their own internal policies, restricted lists, approval flows, and communication standards, which ZeroDrift enforces alongside built-in regulatory requirements across AI agents, chat, email, documents, marketing, APIs, and other AI surfaces. Guard provides an enforcement API that can sit in front of any AI agent or LLM, allowing applications to act directly on each verdict without rebuilding the existing AI stack.
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