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Deploy agents with confidence
Unblock rollouts without accepting invisible data exposure risk. AI commitments become executable.
Mosaiq Security is the data governance control plane for AI agents. We enforce fine-grained policy at the serving layer between AI agents and your data — preventing sensitive data leakage, satisfying compliance requirements, and removing the friction that blocks agentic AI adoption. Mosaiq is purpose-built for AI agent security, agentic data governance, and non-human identity access control.
Agents have memory.
Your security stack has amnesia.
Govern the data — not the agents. A new control layer between your data and every agent that touches it.
Built for humans. One user. One session. One discrete intent.
Agents conform to none of these. They pull data across dozens of systems in a single session and act on what they’ve gathered.
Intent is a deterministic concept on a probabilistic system.
Declared purpose is a policy document, not a technical control. Nothing prevents data tagged for one use from flowing into another.
Prompts and guardrails sit inside the attack surface.
There is no right prompt. Agents ignore them, route around them, and will do whatever it takes to reach the outcome you defined — and they are overridden every day.
Mosaiq is the only vendor enforcing data access and governance for AI agents.
Unblock rollouts without accepting invisible data exposure risk. AI commitments become executable.
Every field, every source, every session — governed by what you have explicitly allowed, never by what was simply not blocked.
From PII to custom enterprise policies and everything in between — you define it, Mosaiq delivers.
Configure once at the data layer. Every framework, every future agent inherits the policy.
This is the core problem Mosaiq solves. AI agents are connected to your data systems with broad, often over-permissioned access — and once they retrieve a sensitive record, it ends up in context, embeddings, or downstream tool calls where it can leak. Mosaiq is purpose-built for AI agent data security: we govern what every agent is allowed to see, on every request, so the sensitive record never reaches the agent in the first place.
You’re not alone — most enterprises are stuck choosing between blocking agents (and missing the productivity gains) or accepting invisible data risk. Mosaiq is the data governance layer that lets security sign off on agent rollouts. We give your security and compliance teams enforceable, auditable controls over agent data access. CISOs often report to their C-level and Board that Mosaiq can help them unblock their agentic initiatives. Reach out to us to see how we can help you.
Mosaiq is a data security layer for AI agents. We give enterprises a single place to define, enforce, and audit what every agent is allowed to access — regardless of which framework, model, or prompt is in use. The result: remove audit, compliance, regulatory and security risk from agentic projects along with full visibility and control.
Mosaiq is a new category. We’re the only vendor enforcing data access, risk, governance specifically for AI agents, in a way designed for how agents actually behave: dynamic, multi-step, and acting autonomously. We’re not a model security tool, not a prompt firewall, and not a traditional data security product retrofitted for AI.
DLP and DSPM were designed for human users moving files, sending emails, and querying SaaS apps. They perform static data classification and detect risky human behavior at egress, but they don’t govern an autonomous agent making thousands of dynamic decisions per day. Mosaiq is purpose-built for agent behavior — we enforce policy on every agent request, in real time, with the context (memory, user, intent, data sensitivity) that DLP and DSPM lack.
AI firewalls and prompt guardrails inspect the text going into and out of a model. They can catch obvious prompt injection or block bad outputs, but they cannot stop an agent from retrieving data it should never have accessed in the first place. Mosaiq enforces at the data layer, not the prompt layer — so sensitive records are never retrieved, never embedded, and never available for the model to leak.
No. Mosaiq is engineered for inline agent traffic. Policy decisions are made in milliseconds and run alongside the agent’s data request. The added latency is well below typical model inference time and is not perceptible to end users in production.
Yes. Mosaiq supports both observe-mode and enforce-mode. Most teams start in observe-mode to map agent data access patterns, surface real risk, and build confidence — then progressively move to enforce-mode without disrupting agent behavior.
A Fortune 100 cloud software platform · a leading unified-communications provider · an automotive fintech platform · an enterprise HCM & payroll platform · a global e-commerce acceleration platform.
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