Autonomous loop · 24/7

How the autonomous agent works in four steps.

From the first drift detection to sealing the report — see what the agent does, in which framework, and how fast, with two illustrative example workflows.

The autonomous-remediation loop

  1. Real-time drift detection01

    Detect drift

    Every signal is compared against the desired per-check baseline and flagged as drift — triggering the loop the moment the scan surfaces it.

  2. Per-control evidence folder02

    Collect evidence

    For every drift the agent automatically gathers supporting artifacts — permissions, settings, log files — and organises them into a per-check evidence folder. See how evidence maps to each framework on the compliance frameworks page.

  3. Team alert and autonomous remediation03

    Remediate

    For each drift the agent proposes a remediation and either applies it automatically (when the surrounding policy permits it) or queues it for explicit human approval — the agent never writes production changes without one of those paths being satisfied. Once applied, the agent verifies the baseline is restored before closing the incident.

  4. Ticket closure and audit-ready package04

    Close ticket

    The incident is sealed with an audit-ready package — timestamps, proof-traces, and a mapping to the relevant clause of the framework.

Illustrative scenarios

Two illustrative example workflows

Two fictional walkthroughs — one based on an expired TLS certificate on the made-up domain portal.example.gr, one on a missing ROPA entry. They are NOT real production incidents and the example domain is fictional. Every event still maps to the four-step diagram: detect, evidence, remediate, close.

  • Scenario A · NIS 2
    Expired TLS certificate at 03:00
    Illustrative scenario: Monday 03:00 in a fictional environment — the TLS scanner spotted a certificate expiring in 8 hours on portal.example.gr:
    1. 01 · Detect drift

      At 03:00 the TLS scanner flagged the certificate as drift against the 30-day renewal baseline.

    2. 02 · Collect evidence

      Within <60s the agent gathered the CSR, ACME account, SNI chain and the latest health-check result — all archived per check.

    3. 03 · Remediate

      Where policy permitted, the agent submitted a renewal to the ACME provider, replaced the certificate on the reverse proxy, and verified that the chain was accepted — any action that would have changed production data outside the agent's allowed scope was queued for human approval instead.

    4. 04 · Close ticket

      The ticket auto-closed at 03:04 — audit-ready package with timestamps, screenshots, and a mapping to the relevant clause of the framework.

  • Scenario B · GDPR
    Data flow missing from the ROPA
    Illustrative scenario: a routine scan in a fictional environment discovers a new data flow to a SaaS vendor without a ROPA entry:
    1. 01 · Detect drift

      Comparison against the per-framework flow catalog flagged the vendor as unregistered in the GDPR processing stream.

    2. 02 · Collect evidence

      The agent gathered a screenshot of the vendor's console, the list of processed fields, and the sub-processor settings — all into a per-check folder.

    3. 03 · Remediate

      The agent drafted a ROPA entry with the scan's details, notified the DPO, and proposed the relevant GDPR obligations.

    4. 04 · Close ticket

      Once the DPO accepted, the ticket closed and the entry was promoted to the production ROPA — with a full audit-ready package for the supervisory authority if needed.

Next step

See the loop running on your own systems.

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