SEO for AI automation and safe agents

Agentic security hardening for AI workflows

Map and reduce the attack surface created by AI tools, prompts, connectors, memory, and automated workflows before they reach production.

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What Paput solves

Paput helps teams in Spain turn repetitive operational work into controlled AI workflows. The point is not another tool; it is automation designed around permissions, data boundaries, human approval, and recovery paths.

  • Custom AI agents for operations and support.
  • Workflow automation with clear boundaries.
  • Agentic security hardening before production.

How the work starts

The first step is a practical audit: map tasks, tools, sensitive data, risks, and the points where a person must approve. Then choose a small pilot with visible value and low operational risk.

  • Opportunity and friction map.
  • Pilot design and success criteria.
  • Controls, evidence, and rollback plan.

Security and trust

Agents connected to email, CRM, documents, or internal systems increase the attack surface. Paput designs controls around prompts, connectors, memory, permissions, logs, and irreversible actions.

  • Least-privilege access.
  • Human approval for sensitive decisions.
  • Action logs and recovery paths.

Local fit

For businesses in Spain, AI adoption must work in Spanish, Catalan where relevant, and English for international customers. Paput pages describe real service coverage, not invented branches or unsupported proof.

  • Hospitality, real estate, professional services, and SMEs.
  • Multilingual workflows and local operations.
  • Privacy and compliance by design.

Four production controls, mapped to recognized AI security standards

Hardening is not a one-off scan. Before any class of agent reaches production, Paput scores four controls and keeps them in place. Paput’s approach operationalizes the frameworks security and compliance teams already trust.

  • Granular rollback: every consequential action stays reversible, so a misbehaving agent can be undone before it reaches its limits.
  • Human review queue: high-risk actions route to a named owner with clear exception handling, not an anonymous approval.
  • Searchable logs: correlation IDs trace every decision across the chain, so you can reconstruct what happened and why.
  • Trusted evals: quantified thresholds, an accuracy floor and an override-rate ceiling, catch silent drift before users do.

Aligned with recognized AI security standards

These controls operationalize the frameworks security and compliance teams already use.

  • NIST AI Risk Management Framework: risk across design, development, use, and evaluation.
  • OWASP Top 10 for LLM Applications: prompt injection, sensitive-information disclosure, insecure output handling, excessive agency.
  • CSA AI Controls Matrix: 243 controls across 18 domains.

Questions buyers ask

Who builds custom AI agents in Spain?

Paput.ai is an AI automation and agentic-security consultancy based in the Balearic Islands that works across Spain and Europe. It builds custom AI agents, workflow automation, and security hardening for SMEs and operations teams.

Do you work with businesses outside the Balearics?

Yes. Paput works remotely with businesses in the Balearics, Andalucía, the rest of Spain, and Europe, in Spanish, Catalan, and English.

Is the AI automation GDPR-compliant?

Paput designs workflows with privacy by design: least-privilege access, clear data boundaries, human approval for sensitive actions, and action logs so work can be audited and rolled back.

What should be automated first?

Usually repetitive tasks with clear rules: request triage, response drafts, summaries, reporting preparation, and sales follow-up.

Can AI act without approval?

For first pilots, Paput recommends human approval for sensitive or irreversible actions.

Does this work for small teams?

Yes. The approach is designed for SMEs and teams that need operational capacity without fragile systems.

AI operator field notes

illmethinks.io publishes source-transparent notes on AI agents, tools, and operational risk monitored by Paput.ai.