FERZ is not SIEM
This comparison addresses a common procurement pattern: an enterprise extends its existing SIEM to ingest AI-system events and treats the resulting dashboards as AI governance. The two architectures operate at fundamentally different layers. SIEM is post-hoc and observability-class: it sees actions after they have executed and surfaces patterns for human investigators. FERZ is ex-ante and authorization-class: it evaluates proposed actions against policy before execution and emits authorization verdicts. The architectural-class test is established in The Authorization Artifact Test (Meyman, 2026; DOI 10.5281/zenodo.20013582); the observability-vs-authorization distinction is developed in Observability Is Not Enforcement (Meyman, 2026; DOI 10.5281/zenodo.18663864) and the impossibility of deriving authorization from observation in On the Impossibility of Observability-Based Authorization (Meyman, 2026; DOI 10.5281/zenodo.19647542).
Where the categories diverge
The two architectures diverge along four architectural axes.
At the AI action proposal boundary. The authorization verdict precedes execution of the proposed action, with built-in action canonicalization and AI-action semantics.
At the event ingestion boundary, after execution. The SIEM receives events emitted by source systems; by the time SIEM sees an action, the action has already happened.
Encoded policy evaluated against a canonicalized action specification, governed state, and policy version. The question asked is whether the action is authorized.
Correlation rules applied to event streams across sources. The question asked is whether this pattern of events matches an alerting condition.
A verdict in the canonical verdict space {ALLOW, DENY, ABSTAIN} with an authorization artifact reconstructable from policy, action specification, and governed state.
Alerts, incident records, correlation outputs. The artifact describes what was observed across event streams and what should be investigated; it is not a verdict on a proposed action.
Fail-closed by architectural design. Execution is blocked when governance conditions are not met.
Alerts-only by design. SIEM does not prevent actions; it surfaces them for human investigation. Response is mediated by SOAR playbooks, runbooks, or human operators.
Why the distinction is structural
SIEM is post-hoc; FERZ is ex-ante. A SIEM platform ingests events emitted by source systems after those systems have acted: log lines, API call records, authentication events, system telemetry. The SIEM aggregates these events across the enterprise, applies correlation rules, and surfaces patterns for human investigators. By the time the SIEM sees an action, the action has already executed and produced whatever consequence it produced. FERZ evaluates proposed actions before they execute. The architectural layer is fundamentally different: observability after the fact versus authorization before the fact.
The authority source is correlation, not authorization. A SIEM rule asks whether this pattern of events across event streams matches an alerting condition. The output is a confidence-weighted alert: this pattern looks unusual, this pattern matches a known indicator of compromise, this pattern correlates across systems in a way that warrants human attention. FERZ asks whether a specific proposed action is permitted by policy. The output is a verdict reconstructable from policy, action specification, and governed state. Correlation outputs and authorization verdicts are not points on a spectrum; they answer different questions about different objects.
The evidence artifacts reflect this. A SIEM artifact describes what was observed and what should be investigated: an alert with severity, correlation source, time window, and recommended response. The reader is a human investigator deciding what to look into. A FERZ verdict describes what was permitted: policy version, canonicalized action specification, governed state, evaluator version, and the resulting decision. The reader is a third party reconstructing the decision against the same policy and state. Alerts and authorization verdicts serve different audiences and answer different questions; a more sophisticated correlation engine produces better alerts, not authorization properties.
The structural claim follows. SIEM and FERZ are layered, not substitutable. A mature AI deployment has both: FERZ at the action proposal boundary authorizing individual proposed actions; SIEM ingesting the resulting verdicts, overrides, and operational events alongside the rest of the enterprise security event stream for correlation and incident response. SIEM ingesting FERZ events does not produce AI-action authorization; producing authorization is FERZ's job, and the SIEM treats those authorization events as one signal source among many. The architectural class remains post-hoc event aggregation regardless of which events are being ingested. Calling a SIEM module "AI governance" in the authorization sense is a category error that the impossibility result establishes formally.
What buyers often confuse
The most common conflations involve enterprise security platforms extended to cover AI workloads and positioned as governance. The architectural argument applies regardless of presentation.
Architectural diagnostic
Any vendor or product claiming AI governance can be evaluated against four architectural questions, anchored to The Authorization Artifact Test (Meyman, 2026; DOI 10.5281/zenodo.20013582):
Does the system produce an artifact for the proposed AI action that exists before the action executes?
Is the authorization artifact reproducible from policy, canonicalized action specification, and governed state, sufficient for independent third-party verification?
Does the system include an ABSTAIN verdict with explicit fail-closed semantics pending authorized human override?
Is fail-closed the architectural default, or an opt-in configuration?
References
Related doctrine and concepts
Frequently asked questions
SIEM ingests events after they occur. By the time SIEM sees an AI action, the action has already executed and produced whatever consequence it produced. SIEM can surface patterns of AI activity for human investigators and trigger response playbooks. It does not authorize proposed AI actions before they execute. The architectural layer is post-hoc observability, not ex-ante authorization.
SIEM can be configured to alert on patterns that may indicate policy violations: unusual action frequency, anomalous parameter ranges, correlations across event streams. These are post-hoc detections of patterns that look like violations. They are not policy-versioned authorization verdicts on individual proposed actions; they are correlation results that flag candidates for human investigation.
FERZ and SIEM operate at different architectural layers and compose well. FERZ authorizes AI actions before they execute, producing verdicts and authorization artifacts. SIEM ingests events from across the enterprise, including FERZ verdicts and overrides, for correlation and incident response. The SIEM surfaces patterns; FERZ decides individual actions. Both have roles in a mature AI deployment.
Compliance reporting on observed AI activity is accurate. AI-action authorization is a category error when applied to SIEM, because SIEM does not evaluate proposed actions against policy before execution. A compliance dashboard built on SIEM tells you what happened; authorization tells you what may happen. The architectural layers are distinct.
SIEM ingests the FERZ event stream alongside other enterprise security events: verdicts emitted, overrides issued, policy versions in force, anomalies in override patterns. The SIEM treats FERZ as one signal source among many, applying correlation and alerting on patterns of governance activity. FERZ produces verdicts; SIEM produces situational awareness of how those verdicts are being issued and overridden.
FERZ, Inc. (2026). FERZ is not SIEM. https://ferz.ai/governance/comparisons/ferz-is-not-siem
BibTeX
@misc{ferz2026notsiem,
author = {{FERZ, Inc.}},
title = {FERZ is not SIEM},
year = {2026},
url = {https://ferz.ai/governance/comparisons/ferz-is-not-siem},
note = {FERZ Architectural Comparison}
}