Security First
An AI Agents solution must be security‑first. From day one, it should protect your users, data, and brand—while making access simple and compliant. That’s why it needs enterprise‑grade identity built on open standards, so partners and internal apps connect easily without lock‑in or custom workarounds.
Per‑Tenant Separation, Roles, and SSO#
You should control exactly who can do what, with clear roles and per‑tenant separation to keep every customer’s data isolated by design. Users can sign in with Google or Microsoft and enjoy Single Sign‑On across your tools. Two‑Factor Authentication (TOTP, Passkeys/WebAuthn, SMS/Email codes) increases protection without adding friction—reducing support tickets and boosting satisfaction.
From Brute‑Force Defense to GDPR#
Security should be continuous and visible: automatic defenses against brute‑force attacks, smart rate limits, detailed audit trails for every login and token action, and real‑time alerts for critical events (like account lock or MFA enrollment). Compliance must be built‑in with data retention policies and GDPR capabilities (right to erasure and data export). Automated provisioning (SCIM) speeds onboarding and cuts errors.
On‑Prem or Kubernetes with Full Data Sovereignty#
Deploy on your terms—on an Linux Ubuntu server in your own infrastructure or in Kubernetes for high availability and scale—meeting security, compliance, and data‑residency needs while lowering total cost of ownership. Running in your own environment guarantees that data remains within your defined geographic and contractual boundaries: you decide where it is stored, who can access it, and how it is logged and retained. This reduces regulatory risk, simplifies audits, and fulfills data‑sovereignty commitments to customers. Leveraging your private networks and existing controls (VPCs, firewalls, SIEM, KMS/HSM) further limits exposure and accelerates incident response. You gain full cost transparency and can reuse current investments in monitoring, backup, and capacity planning—avoiding data egress fees and vendor lock‑in.
The Solution#
Therefore, we decided to create hal.guru — a platform for building AI agents designed to meet the challenges of the future. It empowers teams to prototype, deploy, and scale intelligent agents with reliability and speed, bridging the gap between cutting-edge research and real-world applications.
| Last updated: | 2025-09-26 |