Enterprises are moving past pilots and into a new phase of AI adoption: agents and workflows that do real work. These systems do not just answer questions. They retrieve first party data, reason over business context, and take actions in core applications. When models can access the full data ecosystem and operate with autonomy, every prompt, tool call, and workflow step becomes part of your attack surface and your compliance boundary.
Autonomy without security is uncontrolled execution. Sentinel is the cyber layer embedded in Datafi’s platform that lets enterprise AI agents move fast while always operating within enforceable boundaries.
Datafi is built for this reality. Datafi unifies the data experience for every employee and turns AI into a governed layer of work. The platform brings together four integrated capabilities: Studio to build agents and apps, Control Tower to govern policies, security, and observability, Foundry to run the control plane and AI orchestration, and Sentinel to provide the cyber layer and risk controls. Sentinel is not an add on. It is a core function of the OS that makes enterprise scale AI practical. It reduces risk without slowing teams down.
Why AI needs a dedicated cyber layer
Traditional security programs were designed around humans using applications and analysts reviewing logs after the fact. Business AI introduces non deterministic outputs and autonomous execution, plus new threat models like prompt injection and accidental exposure of sensitive data through responses. Many organizations are also battling tool sprawl: separate point solutions for chat, copilots, data access, and orchestration, each with different controls and audit trails. The result is slower time to value and higher operational risk.
Sentinel solves this at the platform level. As the cyber layer of Datafi, Sentinel provides AI powered cyber risk monitoring and remediation designed for business first party data and production workflows. It lets teams expand AI into analytical and workflow automation roles without expanding risk at the same pace.
What Sentinel delivers
Continuous risk monitoring for agents and workflows. Sentinel monitors how agents, chat experiences, and workflows interact with enterprise data and systems. It is designed to surface cyber risk signals like anomalous access, unusual data movement, and policy violations. The practical goal is to catch issues early, before sensitive information is exposed or a risky action is executed.
Risk controls aligned to business context. AI is only useful when it has rich context, but not all context should be accessible to every workflow. Sentinel works with Control Tower policies and security to support least privilege and role appropriate access, so agents and workflows have what they need and nothing more. This makes controls understandable to business owners and enforceable by security teams.
Remediation, not just detection. Sentinel is built to help teams respond with corrective controls, such as tightening a policy, restricting a tool, or requiring additional review for sensitive operations. In an environment where workflows evolve quickly, rapid remediation keeps adoption safe and scalable.
Security that keeps pace with autonomy
To solve harder problems, LLMs need full business context, access to the complete data ecosystem, and the ability to operate in increasingly autonomous roles. That is how organizations build the contextual layer that makes complex agents valuable. But autonomy without security is uncontrolled execution.
Because Datafi includes a control plane and AI orchestration in Foundry, Sentinel can be applied at runtime, where agents actually execute. That matters for high impact workflows where an agent might generate artifacts, trigger downstream processes, or automate decisions. The combination enables a pattern where agents move fast, but always within enforceable boundaries.
A stronger foundation for governance, observability, and audit
As AI becomes embedded in operations, internal risk teams and external stakeholders will ask practical questions: What data did the AI access, under what policy, and what happened next? Datafi addresses this through Control Tower observability and audit, and Sentinel risk controls. Sentinel adds security context to AI activity: not just what happened, but whether it was risky, how it was mitigated, and what controls were in place. This reduces the burden of stitching together evidence across disconnected tools and makes it easier to operationalize responsible AI.
Faster time to value with lower risk than tool sprawl
AI initiatives often stall not because models fail, but because security and governance become complex when the architecture is fragmented. A unified platform reduces integration overhead, simplifies policy enforcement, and provides a consistent control surface for AI. Studio lets teams build agents, apps, chat experiences, and workflows for non technical users. Foundry runs those systems with orchestration and a production grade control plane. Control Tower governs with policies, security, observability, and audit. Sentinel completes the stack with an AI aware cyber layer that can monitor and remediate risk continuously.
The outcome is what enterprises need most: a secure, observable foundation for deploying AI across enterprise workflows, and faster time to value with lower risk compared to assembling an AI stack from disconnected tools.
Built for broad adoption across the enterprise
Security that blocks progress gets bypassed. Sentinel is designed to enable safe adoption across the whole organization, not only technical teams. Because Datafi is built around a chat UI and workflow experience tailored for non technical users, Sentinel must deliver security in a way that feels natural. That means guardrails embedded in workflows, transparent feedback when something is risky, and policies that map to business roles and responsibilities. When employees can safely use AI to do more, organizations can reduce costs, improve efficiency, and free experts to focus on higher value work.
A perspective grounded in applied AI
Transformative outcomes come from action, not just answers. To unlock that value, AI must operate across the full context of the business, use first party data responsibly, and execute workflows reliably. Sentinel is the AI powered cyber risk monitoring and remediation layer that lets organizations trust AI in critical workflows with confidence.
If you want AI to move from experimentation to enterprise scale, you need an operating system that treats security as a first class capability. Sentinel is how Datafi delivers that security, so teams can build, govern, and run business AI that is both powerful and safe.
