An incident response agent can answer “How did we fix this before?” by finding relevant prior incidents, showing the evidence behind its recommendations, and checking whether that evidence still applies. The safe design is not to let the agent treat old conversations as instructions: keep reviewed incident learnings separate from raw transcripts, govern who can add or change them, and require current evidence and the right level of human approval before taking action.
What incident memory should—and should not—do
Incident memory is a way to retrieve useful knowledge from earlier incidents: symptoms, steps that worked, the observed outcome, a suspected or confirmed cause, and pitfalls encountered along the way. It complements runbooks and connected documentation rather than replacing them. A runbook describes a procedure; an incident memory records what happened in a particular case and what the team learned from it. Microsoft’s Azure SRE Agent documentation describes learning from completed incident conversations and using past fixes alongside documentation.
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Memory is evidence to consider, not authority to obey. Two incidents can look alike while having different causes, deployment histories, or affected components. The agent should frame a prior case as a potentially relevant example, explain the match and the differences, and check its assumptions against the live incident before recommending a mitigation.
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- Reference: the original incident record, relevant telemetry or deployment context, and the time the learning was reviewed.
- Exclude: credentials, API keys, and unrelated personal or regulated information. Microsoft’s guidance on agent memory safety identifies credentials and API keys as content to block from memory. Its memory-safety guidance also treats retained information as a security and governance concern.
Design the incident-to-memory loop
A useful implementation connects incident handling to a controlled learning process. The following is a design pattern, not a claim that every product implements the same workflow.
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- Receive and scope the incident. Identify affected services, symptoms, severity, and time window. Gather only telemetry, deployment history, and incident-system data the agent is authorized to access.
- Retrieve relevant evidence. Search reviewed incident learnings and the appropriate runbooks or connected documentation. Match on meaningful context—such as service, error pattern, deployment, and observed impact—not just shared words in an alert.
- Present the match for inspection. Show the source incident or document, the evidence supporting the match, what happened after earlier actions, and any known differences or age-related concerns. Keep observed facts distinct from inferred explanations.
- Propose a response within policy. Validate the earlier lesson against current telemetry and state what the agent wants to do. Require the approval level set by the organization before a mitigation is applied.
- Record the outcome after review. Once the incident is resolved, prepare a concise learning that captures the outcome and pitfalls. Have an authorized person review it before it becomes persistent memory.
Microsoft documents Azure SRE Agent checking memory for similar issues, using runbooks and connected knowledge, and learning from completed incident conversations. Its incident-response documentation also describes proposing fixes or resolving issues autonomously according to the configured run mode. These are product-specific capabilities, not a requirement to use that product or evidence that every agent has the same controls. Azure SRE Agent incident response · Azure SRE Agent memory and knowledge
Store reviewed learnings, not an unquestioned transcript archive
Keep the memory record small enough to review and correct. Retain the underlying incident evidence separately under the organization’s retention and access policies; link to it where appropriate instead of copying an entire conversation into the agent’s persistent store. This separation makes it easier to update a lesson without rewriting history, delete a memory without losing the source record, and distinguish a team-approved learning from unreviewed conversation text.
A practical record can include these fields:
- Identity and scope: incident identifier, affected service or component, environment, and relevant time window.
- Retrieval cues: symptoms, error patterns, and other context that helps distinguish this case from superficially similar incidents.
- Evidence and provenance: links to the incident record, relevant logs or deployment events, source owner, and the date the record was reviewed.
- Learning: actions taken, observed results, confirmed findings, unresolved hypotheses, and pitfalls. Mark an inferred root cause as an inference rather than a verified fact.
- Lifecycle: who approved the memory, when it was created or last updated, and its review or expiration policy.
The exact fields depend on the incident process. The important design choice is to make the origin and status of each claim visible. Microsoft’s memory-safety guidance recommends provenance and authorization checks, user review and deletion controls, and logs for memory create, read, update, and delete operations. Memory safety and governance guidance
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Make retrieval traceable and cautious
A useful answer to “How did we fix this before?” should let an operator inspect the chain from current symptoms to prior evidence to proposed action. A citation should point to the incident or document that actually supports the claim; it should not merely decorate a generated summary. Microsoft says Azure SRE Agent provides grounded responses with clickable citations to information sources. For any implementation, treat that inspectability as a design requirement: show the source and enough context for a responder to verify the match. Azure SRE Agent memory and knowledge
At retrieval time, the agent should also check whether the retrieved item is authorized for the current user and relevant to the current system state. Present stale or uncertain material as such, and do not let stored text override current telemetry, approved procedures, or access controls. A similarity score alone is not proof that a previous diagnosis or fix applies.
Govern memory writes, reads, and retention
Control what can be written
Do not automatically convert every conversation into durable guidance. Apply authorization and provenance checks, screen for secrets and out-of-scope data, and route incident summaries through an appropriate review before they can influence future responses. A correction path matters too: responders need a way to amend a mistaken learning rather than leaving a known-bad record active.
Audit the full lifecycle
Record who created, read, updated, or deleted memory, when the operation occurred, and the source and provenance involved. These logs help investigate improper access, trace why an agent surfaced a recommendation, and verify that a correction or deletion took effect. Microsoft specifically recommends lifecycle logging that captures identity, time, source, and provenance. Memory safety and governance guidance
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Set retention and deletion rules
Keeping information can support investigation and rollback, but indefinite retention conflicts with minimization and privacy. Set a review cadence, retention period, and purge process appropriate to the organization’s policies. Make deletion and correction possible for the memory record, and understand separately how the linked incident evidence is retained. Microsoft’s guidance discusses both retention for investigation and rollback and the need for memory controls. Memory safety and governance guidance
Define the approval boundary for action
Specify which actions an agent may recommend, which it may perform only after approval, and whether any narrowly defined action is allowed without a human. Make that boundary explicit in the agent’s operating policy and visible in its response. Azure SRE Agent documentation describes behavior that depends on configured run mode; that example illustrates why “agent can resolve incidents” is too broad without saying what authority is enabled. Azure SRE Agent incident response
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When assessing an incident-response agent or designing one in-house, test whether it does the following:
- Retrieves incidents relevant to the actual service, symptoms, and context—not merely incidents with similar wording.
- Shows source provenance and citations that responders can open and inspect.
- Restricts memory writes by authorization and review, and lets users correct or delete records.
- Audits create, read, update, and delete operations with identity, time, source, and provenance.
- Supports retention, expiration, and purge policies that fit organizational requirements.
- Connects to the authorized logs, metrics, deployment history, incident platform, runbooks, and documentation needed to validate a recommendation.
- Makes clear which mitigations require human approval and which, if any, can run autonomously.
These checks cover more than whether an agent can find a similar incident: they address whether the recommendation is verifiable, whether memory can be safely maintained, and whether the system’s operational authority is acceptable.
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Azure SRE Agent is a documented example of an operational agent that checks memory for similar incidents and learns from fixes. Microsoft Security Copilot materials describe investigation capabilities such as triage, signal correlation, and response guidance, but the cited documentation does not establish the same persistent past-incident memory workflow. Treat investigation assistance and retained incident memory as distinct capabilities unless a product’s documentation explicitly connects them. Azure SRE Agent overview · Security Copilot agent documentation · Attack Investigation Agent documentation
Incident memory should also sit within a broader incident-handling process, not substitute for one. NIST SP 800-61 Rev. 2 is a foundational guide to organizing and carrying out computer-security incident response; consult the publication itself when grounding a process in that guidance. NIST Special Publication 800-61 Revision 2
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