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How to Keep ISO 27001 AI Controls AI User Activity Recording Secure and Compliant with HoopAI

Andrios Robert

• 2 min read

Picture your dev team cruising through a late sprint. The AI coding assistant is committing changes. An agent is querying your database. A copilot is reading private repos to suggest fixes. Everything moves fast, until security notices a phantom process pulling data it should never see. Cue the compliance panic.

This is the new frontier: powerful AI tools working as both teammate and potential threat. ISO 27001 AI controls and AI user activity recording exist to protect against this chaos. They define how you track, restrict, and audit access to critical assets—whether it’s a human developer or an autonomous script generating SQL. But traditional identity controls stop short when AI systems start taking action on their own. You cannot assign a password policy to a large language model.

That’s where HoopAI steps in. It wraps every AI-to-infrastructure command inside a single secure access layer. Through Hoop’s proxy, each instruction—no matter if it comes from an OpenAI agent or a homegrown Copilot—is evaluated against real-time policies before execution. Dangerous commands are blocked. Sensitive data is masked instantly. Every transaction is logged so you can replay full activity trails later for audit or forensics.

With HoopAI, ISO 27001 AI controls become operational rather than theoretical. Each AI identity operates with scoped, ephemeral access. Permissions vanish when finished. Nothing lingers, nothing escapes. This keeps your environment compliant with Zero Trust principles while giving auditors clear proof of control and complete AI user activity recording.

Under the hood, permissions are mapped to context, not static roles. A coding assistant only gets access to the repo it’s fixing, not the entire org. A data analysis agent may read a sanitized copy without touching production. Policies flow through Hoop’s central layer, enforced in real time, without slowing development.

Core benefits:

  • Full visibility into every AI command, input, and output.
  • Inline redaction and masking prevent sensitive data leakage.
  • Automatic audit logs cut ISO 27001 and SOC 2 prep from weeks to hours.
  • Real Zero Trust enforcement for human and non-human identities alike.
  • Developers keep their velocity while compliance teams keep their sanity.

Platforms like hoop.dev apply these guardrails live, baking compliance automation directly into the AI workflow. You get both transparency and speed—the rare combination every CISO dreams about but few achieve.

How does HoopAI secure AI workflows?

HoopAI acts as a control plane between models and infrastructure. It verifies identity, validates every command, masks risky data, and stores immutable logs for audit. Nothing runs without policy approval, which satisfies auditors and keeps production intact.

What data does HoopAI mask?

HoopAI automatically detects and obscures identifiers such as PII, secrets, API keys, credentials, and any pattern you define. The model still works, the data stays safe, and compliance boxes stay checked.

When AI systems start executing real work, governance must evolve. HoopAI makes ISO 27001 AI controls and AI user activity recording practical at scale—fast, measurable, and trustworthy.

See an Environment Agnostic Identity-Aware Proxy in action with hoop.dev. Deploy it, connect your identity provider, and watch it protect your endpoints everywhere—live in minutes.