Turn operational evidence into decisions your board can defend.
AethIQ sits above your existing monitoring, observability, and ITSM stack — correlating evidence, applying governance context, and producing deterministic, audit-grade decisions instead of more alerts.
VERIFIED
Visibility was solved. Consequence wasn't.
Monitoring tells you what happened. Observability tells you where. Neither tells you what the business should do next — or what it means for governance and the board.
Evidence without correlation
A dozen platforms, a dozen partial views — no single deterministic record of what happened and why.
Governance bolted on after the fact
Compliance mapping happens in a spreadsheet, days after the incident — not as a continuous, evidence-linked posture.
Black-box correlation, not causal proof
Correlation engines surface patterns; they don't produce decisions a regulator or board can trace and trust.
What you need to be able to say in the next review.
Four roles. One platform. Each with a different question that needs answering before they'll approve anything.
- Systemic risk score, tiered 0.0–1.0
- Collapse radius & affected downstream nodes live
- Dominant control nodes ranked by exposure
- Sits above Splunk / LogicMonitor / Broadcom no rip-and-replace
- Blast radius scoped to revenue-bearing services
- Cost-of-inaction framing per decision artifact
- POC priced and time-boxed ₹5–10L · 30 days
- Refund guarantee if no measurable value 30-day window
- RBI ITRF, ISO 27001, SOC 2 named, not generic
- Control coverage & gap count per framework
- Exposure classification & sensitivity per artifact
- Patent-filed methodology IN 202541103960
- Per-service posture tiering MONITOR / ASSURE / ESCALATE
- Unit-level confidence score shown, not hidden
- Plain-language explanation per service
- Drift trend over time per unit
AethIQ does not replace your stack. It governs it.
Telemetry platforms tell you what failed. AethIQ tells you how fragile the system is, what the business exposure is, and what the board needs to hear.
Evidence Acquisition
API connectors and adapters pull operational signals from Splunk, LogicMonitor, Broadcom DXO2, Grafana, and more — nothing in your stack changes.
Topology & Compliance Engines
Structural dominance, collapse simulation, and regulatory framework mapping run deterministically — the same input always produces the same output.
Governance Arbitration
Risk, structure, business criticality, and compliance posture are weighed together to produce one causal governance recommendation.
Decision Artifact → Board
One hash-traceable, reproducible document. The same output for the same conditions every time — the only kind of evidence a Board or regulator can trust.
The one document every persona ends up reading.
Not a dashboard screenshot. A structured artifact with the same fields every time — which is exactly what makes it admissible in a governance review.
Every field is computed by a deterministic engine — the same input window always produces the same output. That single property is what lets a CFO forward this to an Audit Committee without a caveat, and what lets a Compliance lead cite it as evidence rather than a screenshot.
Download sample artifact PDF →
Six engines. One governed decision layer.
Each capability maps to a real architectural engine — not a marketing label.
Evidence → Decision
Transforms fragmented operational evidence into trusted, explainable business decisions.
Continuous Posture
Evaluates operational posture against governance policy and compliance obligations in real time.
Dependency Awareness
Maintains a live model of service relationships and operational dependencies enterprise-wide.
Cascade Risk
Identifies cascading operational risk and hidden dependencies before they become outages.
Full Causal Chain
Every recommendation ships with supporting evidence, confidence indicators, and transparent reasoning.
Board-Ready Output
Converts technical complexity into business language for executive and board-level decisions.
Watch a decision artifact being generated, live.
A walkthrough of the evidence ledger, the decision flow, and what a governance-grade artifact looks like end to end.
Built to sit above your stack, not inside it.
API-first, vendor-independent, deployable on-premises, private cloud, or hybrid.
Where evidence-to-decision speed has real regulatory consequence.
Banking & Financial Services
Protect payment systems, digital banking, and resilience obligations under DORA and RBI MAS TRM.
Telecommunications
Understand service dependencies across networks, infrastructure, and customer-facing platforms.
Manufacturing
Improve operational continuity across production systems and digital manufacturing platforms.
Healthcare
Support critical clinical systems with continuous operational awareness and governance.
Energy & Utilities
Strengthen resilience across distributed infrastructure and mission-critical services.
Government
Deliver governance-aware operational intelligence across digital public services.
Enterprise-grade by design, not by retrofit.
- Role-Based Access Control (RBAC) across every decision and data path
- SSO / SAML / OIDC and Multi-Factor Authentication
- TLS encryption in transit, encryption at rest
- Full audit logging and API-level authentication
- Continuous compliance mapping, not point-in-time audits
25+ years across full-stack observability, AIOps, and enterprise IT operations — including leadership roles at Wells Fargo GCC, HCL Technologies, and CA Technologies / Broadcom. AethIQ's runtime governance architecture is built on a filed patent (202541103960) for a Runtime Governance Intelligence Framework, with a design philosophy rooted in explainability, causality, and deterministic decision-making.
From the AethIQ lab.
Notes on runtime governance, causal evidence, and what regulators expect from operational decision-making.
Why observability alone can't satisfy a regulator
What DORA and RBI MAS TRM actually expect beyond visibility — and where most monitoring stacks fall short.
The case for deterministic decisions over confidence scores
Why causal evidence chains hold up in an audit in a way that black-box correlation never can.
Governing AI-driven operations at enterprise scale
As AI agents take on more operational decisions, who governs the governor?
Run it against one quarter of real telemetry before your next Board cycle.
30-day time-boxed POC · ₹5–10L · No infrastructure changes · Full refund if no measurable value