Most continuous monitoring platforms detect risks and route them automatically. Sentinel detects risks and requires a qualified human to review, document, and resolve every one. That difference is what produces a defensible assurance record.
The core difference
AI detects risk signals continuously and scores them by severity. Every alert is routed to a documented human reviewer — it cannot be auto-processed, dismissed algorithmically, or resolved without a logged decision. Every resolution is timestamped and permanent.
Conventional continuous monitoring platforms detect anomalies and route them through automated workflows. Rules-based resolution, auto-escalation, and algorithmic triage mean alerts can be processed without documented human judgment at the point of decision.
Fast is not the same as accountable. A signal that closes automatically produces no evidence that a qualified person reviewed it.
It surfaces risk signals continuously — anomalies, control gaps, threshold breaches — and routes them through predefined workflows. Many platforms auto-escalate, auto-assign, or auto-dismiss based on rules. Speed is the benefit. Documentation of human judgment is the casualty.
When a regulator, internal audit function, or board asks which alerts were reviewed and how they were assessed, automated resolution workflows produce activity logs — not evidence of human judgment. The question "did a qualified person review this?" cannot be answered from a rule-triggered state change.
Synalogic Sentinel routes every AI-detected signal to a human reviewer who must accept, escalate, or dismiss it with a documented rationale. The record is immutable. The accountability is architectural — not a setting you configure, and not something that can be bypassed under time pressure.
Factual comparison across the dimensions that matter.
| Synalogic Sentinel | Agentic monitoring platforms | |
|---|---|---|
| Core approach | AI detects — human must review and document every resolution | AI detects — workflows route and often resolve automatically |
| Mandatory human review | ✓ Every alert requires documented human decision | ✗ Alerts can be auto-processed by rules |
| Alert resolution audit trail | ✓ Who reviewed, what decision, when — permanent | ✗ Activity logs, not decision-level audit trail |
| Auto-dismissal | ✗ Not permitted — every alert requires a decision | ~ Rules-based auto-dismissal common |
| Risk scoring | ✓ AI scores by severity, likelihood & velocity | ~ Varies by platform |
| Source traceability | ✓ Every signal linked to its source data | ✗ Aggregated signals, source often abstracted |
| Assure integration | ✓ Feeds directly into Assure engagement workflow | ✗ Separate product ecosystems |
| Data sovereignty | ✓ In-country, single-tenant | ✗ Typically US-based, multi-tenant SaaS |
| Target market | Internal audit functions, enterprise, regulated industries | Enterprise GRC — large corporates and financial institutions |
| Pricing | Volume-driven, value-based — contact us | Enterprise pricing, typically US$50,000–$200,000+/yr |
Common questions from teams evaluating these platforms.
Sentinel is live and deployable. A demo shows the alert review workflow, the resolution record, and how it feeds into Assure engagements — not slides.