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AiSOC

Open-source AI SOC platform. Agent decisions are recorded in an investigation ledger and a public eval harness runs in CI. MIT-licensed and self-hostable.

How AiSOC compares

AiSOC is open-source and self-hostable, and every agent decision is recorded in the investigation ledger. Closed-source AI SOCs run on vendor infrastructure and do not expose the agent loop, which makes them harder to review under SOC 2, ISO 27001, or DORA controls.

CapabilityAiSOCOpen-source SIEM/HIDSCommercial SIEM platformClosed-source AI SOC
Open-source (MIT) and self-hostableYes — MITYes — GPLv2NoCloud-only
Agent decisions are auditable line-by-lineYes — full ledger + replayNo agent layerBlack-box MLBlack-box agent
Substrate has a public regression-gate harness200-case suite, CI-gatedNot publishedNot publishedVendor-claimed only
Native AI investigation agentLangGraph multi-agentNoPaid AI assistant add-onClosed-source
MITRE ATT&CK heatmap + purple-team emulationBuilt-inPartialPremium add-onLimited
Plugin SDK (Python + Go) + community marketplaceBoth SDKs, MITCollector modules onlyVendor app marketplaceVendor-only
Compliance evidence (SOC2 / ISO / NIST / DORA)Built-in dashboardsNoPremium add-onReporting only

Capability claims for other vendors are sourced from their public documentation as of 2026. AiSOC's claims map directly to code in this repository — see the docs.

What ships in the box

The first three rows describe the properties most relevant to a regulated buyer. The remainder enumerate the SOC substrate.

Auditable agent decisions

Every prompt, tool call, and rationale the agent emits is persisted to the investigation ledger and replayable step-by-step in the case workspace.

Public eval harness

200-incident, CI-gated regression harness over the AiSOC substrate (extractors, fusion, templates, judges). Reproducible on a laptop in seconds. The page describes what each metric measures and what it does not.

MIT-licensed, self-hostable

The code, prompts, and templates are in the repo. No CLA, no telemetry, no calls home.

LangGraph multi-agent investigation

Recon, forensic, responder, and reporter agents wired through a LangGraph orchestrator for triage and case enrichment.

Playbook engine

Visual React Flow editor with 12 starter templates for automated, human-gated response actions.

UEBA

Per-user Welford online baselines, Z-score anomaly scoring, and Kafka-integrated anomaly publishing.

Honeytokens

HMAC-SHA256 signed deceptive credentials (URL, file, AWS key, email) with first-touch webhook alerting.

Purple Team

Atomic Red Team YAML parser, Caldera executor, ATT&CK coverage heatmap, and tabletop sessions.

Real-time fusion

Kafka spine with sub-second alert ingestion, Bloom-filter dedup on 10M+ IOCs, ML scoring (LightGBM + Isolation Forest).

Attack graph

Neo4j entity graph with attack-path reconstruction and blast-radius gating on automated actions.

Detection engineering

Sigma over OpenSearch and ClickHouse, YARA, KQL/EQL — community catalog with one-click install.

Enterprise governance

SAML 2.0 and OIDC SSO, multi-tenant Postgres RLS, granular RBAC, and immutable audit log.

Compliance dashboards

SOC 2, ISO 27001, NIST CSF, PCI-DSS, HIPAA, and DORA evidence with MTTD/MTTR/MTTC SLA tracking.

Plugin ecosystem

Python and TypeScript SDKs, Ed25519-signed publishing, and a community marketplace.

Deployment

Helm charts, Docker Compose, OpenTelemetry traces/metrics/logs, and PostgreSQL backup with KMS encryption.