RegTech is software that helps organisations meet their regulatory obligations and prove it to supervisors and auditors. The term emerged in financial services, but today it concerns every regulated industry — from cybersecurity (NIS2) and digital operational resilience (DORA) to artificial intelligence (EU AI Act).
At its core it is not about more documents but about reliable connections: between a rule, the obligation that follows from it, the measure that fulfils it and the evidence that the measure works.
Every requirement passes through four steps — and every change starts the cycle again.
Capture new and changed requirements early from primary sources such as EUR-Lex and supervisory publications, before a deadline catches you out.
Clarify whether and how the requirement affects your organisation: which regulation, which business area, which existing controls.
Translate obligations into concrete measures, owners and deadlines — mapped against a grounded target process.
Show that the measures work: with dated evidence, source references and a complete audit trail.
Spreadsheets, mailing lists and folder structures work as long as little changes. That time is over.
DORA has applied since 17 January 2025, the German BSIG transposing NIS2 since 6 December 2025, the EU AI Act is becoming applicable in stages and the AMLR applies from 10 July 2027. On top come technical standards, circulars and interpretive guidance.
Evidence sits in tickets, shared drives, inboxes and people’s heads. Before every audit the search starts again, and nobody can say for sure whether a document is still current.
If compliance is only established for the audit date, gaps between audits go unnoticed. Continuous evidence collection turns the scramble into a spot check.
Many requirements overlap, such as the IT requirements of BAIT and DORA. Without a shared mapping, the same obligation is assessed several times — or not at all.
Automation alone does not create trust. What matters is whether you can defend every result in front of an auditor.
Every statement points to the exact passage in the legal text. Unsourced answers are worthless for compliance — and risky.
Traceable record of who, or which agent, decided what, when and on what basis — tamper-evident and exportable.
A clear answer to where your data lives: EU hosting, your own cloud, your own data centre or air-gapped.
The platform prepares and explains; a person approves consequential decisions. Uncertain cases are escalated, not guessed.
What the law says and what is a process recommendation stay distinguishable — open points such as drafts or pending standards are labelled as such.
The rules the platform decides by are versioned as policy as code. Every decision can be mapped to the version in force at the time.
Agentic360 is an evidence-first RegTech platform. Specialist AI agents work through the regulatory lifecycle — and every result has to show where it comes from.
Every answer names its sources – the document and, where available, section or page and document version – and can be exported as an audit PDF with agent, model and guardrail status. Audit packs carry a SHA-256 manifest for every file.
A guardrail blocks fabricated regulatory citations before they leave the platform. Unsourced answers are avoided, and every step can be traced back to its source.
The Regulation Watcher monitors supervisory sources continuously and maps new requirements to your frameworks.
Documented target processes for NIS2, DORA, MaRisk/BAIT and AML let you map your current processes against them — every step with its article and source.
Run it as EU SaaS hosted in Germany, in your private cloud, on-premises or air-gapped — with tenant isolation in every option.
Workflows can include approval steps, and uncertain cases are escalated to people. Agentic360 replaces neither your ISMS nor your accountability — the platform provides the evidence for both.
Agentic360 is ISO 27001-aligned but is not itself certified and does not issue certifications.
GRC software (governance, risk and compliance) mainly manages risks, policies and controls. RegTech starts earlier — with detecting and assessing regulatory requirements — and extends all the way to proven evidence. In practice the two approaches complement each other.
Any organisation that has to prove regulatory compliance, especially where several regulations come together. Typical examples are financial institutions under DORA and MaRisk, entities in scope of NIS2 and companies that have to classify their AI systems under the EU AI Act.
Yes, if it is bound to sources and kept under control. What matters are answers with citations, guardrails against fabricated references, a complete audit trail and human approval for consequential decisions. An AI that cannot show where a statement comes from does not belong in an audit trail.
No. It takes research, mapping and evidence work off the compliance team so that more time is left for assessment and decisions. Accountability for risk treatment, policies and approvals stays with the organisation.
Every answer has to show where it comes from: with its source references, agent and model. A guardrail blocks fabricated regulatory citations before they are output, and every step can be traced back to its source.
That depends on the deployment model: as EU SaaS hosted in Germany, in your own cloud, in your own data centre or fully air-gapped. Data leaves that boundary only if your policy allows it.
In 30 minutes we show you how a regulatory requirement becomes audit-ready evidence — no sales loop.