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Illustrative architecture: Cybersecurity AI

Multi-Agent Cybersecurity Triage and Response

A SOC analyst receives correlated evidence from intake, enrichment, threat, asset, identity, and response-recommendation agents. Deterministic policy gates and scoped adapters keep consequential response under human control.

Cybersecurity AISIEMEDRCorrelationAnalyst Approval
Multi-Agent Cybersecurity Triage and Response architecture
HumanSOC analyst
AgentIntake, enrichment, context, correlation, recommendation
ServicePolicy gate, deduplication, rate limits, audit
DataAlert and incident evidence
ExternalSIEM, EDR, cloud, asset, identity, threat feeds
ApprovalConsequential response approval
Architecture summary

Multi-Agent Cybersecurity Triage and Response system boundary

Alert intake fans out bounded enrichment to asset, identity, and threat-context agents. Correlation and risk classification produce an incident brief before analyst review and scoped response adapters.

HumanAgentServiceDataExternalApproval
HumanSOC analyst
AgentIntake, enrichment, context, correlation, recommendation
ServicePolicy gate, deduplication, rate limits, audit
DataAlert and incident evidence
ExternalSIEM, EDR, cloud, asset, identity, threat feeds
ApprovalConsequential response approval
End-to-end workflow

Multi-Agent Cybersecurity Triage and Response execution path

SIEM, EDR, and cloud alerts enter deduplication, enrichment runs in parallel, correlation assembles evidence, a recommendation agent proposes response, and a SOC analyst approves consequential actions unless policy explicitly configures otherwise.

Multi-Agent Cybersecurity Triage and Response human and agent interaction
HumanSOC analyst
AgentIntake, enrichment, context, correlation, recommendation
ServicePolicy gate, deduplication, rate limits, audit
ApprovalConsequential response approval
ExternalSIEM, EDR, cloud, asset, identity, threat feeds
DataAlert and incident evidence
Context and data flow

Multi-Agent Cybersecurity Triage and Response context movement

Each agent receives only alert identifiers and the context needed for its role. The incident record stores source provenance, enrichment results, correlation, risk rationale, analyst decision, and response history.

Agent responsibilities and boundaries

Multi-Agent Cybersecurity Triage and Response ownership limits

Agents cannot change policy, access unrestricted secrets, or execute consequential response without the configured analyst gate. Read-only enrichment is the default.

Deterministic controls

Multi-Agent Cybersecurity Triage and Response enforced controls

Connectors, deduplication, policy gates, scoped action adapters, secrets storage, rate limits, idempotency, immutable audit, and approval state are deterministic.

Security and permissions

Multi-Agent Cybersecurity Triage and Response trust boundaries

Secrets isolation, least-privilege connectors, evidence provenance, role-based analyst access, scoped response tools, immutable audit events, and rate limits constrain the system.

Scaling and reliability

Multi-Agent Cybersecurity Triage and Response operating model

Priority queues, parallel enrichment, alert deduplication, incident correlation, backpressure, provider rate limits, and analyst escalation prevent alert volume from overwhelming downstream systems.

Failure modes and recovery

Multi-Agent Cybersecurity Triage and Response recovery paths

Unavailable enrichment sources are marked missing, duplicate alerts join an incident, provider failures retry within budget, uncertain classifications escalate, and partial response requires analyst reconciliation.

Software testing

Multi-Agent Cybersecurity Triage and Response deterministic test coverage

Tests cover connector contracts, deduplication, evidence provenance, correlation, policy gates, unauthorized response, rate limits, approval, adapter failure, and audit integrity.

AI evaluation

Multi-Agent Cybersecurity Triage and Response behavior evaluation

Agent evaluations assess enrichment relevance, correlation consistency, risk rationale, unsupported claims, escalation, and recommendation quality without replacing analyst judgment.

Observability and AgentOps

Multi-Agent Cybersecurity Triage and Response operational evidence

SOC operators see queue pressure, connector health, enrichment latency, correlation traces, recommendation versions, analyst decisions, adapter calls, and immutable response records.

Deployment model

Multi-Agent Cybersecurity Triage and Response deployment boundaries

Read-only enrichment workers, policy services, incident storage, analyst console, and response adapters deploy with separated credentials and independently restricted network access.

Engineering tradeoffs

Multi-Agent Cybersecurity Triage and Response deliberate constraints

Human approval can delay response but protects consequential actions. Automated execution is limited to explicitly configured scope, while the analyst remains accountable for broader response.

Evidence position

Multi-Agent Cybersecurity Triage and Response claim boundary

Illustrative security operations architecture only. No detection rate, response-time result, customer deployment, or security certification is claimed.

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