Recovering from bad automated changes and AI agent infrastructure

Why treat bad changes as a recovery scenario?

Automation applies changes quickly and at scale. A mistaken change to a network rule, an IAM policy or a managed service setting can spread across accounts before anyone notices. Firefly positions its product for recovery from cyberattacks, outages and AI agents' errors, which reflects a wider view that automated changes belong in the recovery plan next to attacks and outages.

What stops a bad change before it lands?

• Review and policy. Changes that go through code review and policy checks are less likely to break production. StackGuardian, for example, lists policy guardrails written in OPA/Rego.
• Protection against destruction. OpenTofu 1.12.0, released on 14 May 2026, lets the prevent_destroy lifecycle argument reference variables, so teams can switch protection on for critical resources per environment.
• Limited permissions. An automation or agent that can only change what it needs cannot break the rest.

What finds a bad change after it lands?

Drift detection and a change history. If the tool records what changed and when, you can find the change and the last good state quickly. See the lesson on configuration drift.

How do you roll back?

From a point-in-time copy of the configuration captured before the change. Firefly restores from versioned snapshots to a point in time; ControlMonkey describes a time-machine restore to a known-good state; Commvault Cloud Rewind captures point-in-time, in-sync copies. Rolling back only the changed resources is usually faster and safer than rebuilding the whole environment.

What changed for AI agent infrastructure in 2026?

• On 25 August 2026 Arpio announced recovery for Amazon Bedrock, including AgentCore, Knowledge Bases and Guardrails.
• On 16 September 2026 Cohesity introduced Agent Resilience to discover, protect and recover the infrastructure behind AI agents, starting with Amazon Bedrock. It is available to select customers, with general availability targeted for the end of 2026.
• On 16 September 2026 Firefly added Databricks workspace support, capturing workspace configuration on a schedule for point-in-time restore.
• On 31 July 2026 the European Supervisory Authorities asked financial entities to adjust their ICT risk management for frontier AI models, with accountability at management-body level.

Each announcement is summarized with its source on the news page. These are vendor and regulator statements, not test results.

What should you take from this lesson?

List the automations and agents that can change your cloud estate, and check that each one's changes are logged, reversible and inside the scope of your configuration snapshots.