Invoice fraud isn't a one-trick attack. It shows up as a fake domain, a changed BSB, a spoofed email, a forged PDF, a rushed phone call or a link in an SMS. That's why RILLA Shield doesn't run one check — it runs fifteen independent layers, then fuses them into a single verdict you can act on.
3 FREE SCANS · NO CREDIT CARD · AU-HOSTED
Misses invoice-level and financial fraud
No document, sender or intelligence context
Powerful but expensive and slow to deploy
Complete coverage from inbox to payment run
Prove who you're paying before you pay them.
Real-time government registry checks
Every supplier ABN is validated against the Australian Business Register in real time. We confirm the entity is registered for GST, that the trading name matches the invoice, and that the ABN is active — not cancelled, deregistered or a lookalike number pulled from a scam email.
DNS, age, SPF and spoof detection
We inspect the sender's domain like a cybersecurity team would: registration age, DNS records, SPF/DMARC/DKIM alignment, and whether the domain is a recently registered lookalike designed to mimic a trusted supplier.
Header forensics and spoofed-domain detection
Email headers don't lie. We analyse return-path, envelope-from, display-name spoofing and reputation signals to detect when a message claims to be from your supplier but actually originated from a compromised or impersonated account.
Follow the money, not the email.
BSB/account validation and change-history tracking
We validate BSB and account number formats, check them against known supplier records, and flag any mid-conversation bank-detail change — the single most common vector in Australian invoice fraud. A changed account number is never treated as routine.
Behavioural profile of every payee
RILLA builds a behavioural fingerprint for every supplier: typical invoice amounts, payment cadence, email language, bank accounts and domain usage. Deviations from that baseline — a new BSB, an unusual amount, a different email signature — are flagged instantly.
PEP, sanctions and adverse-media checks
We cross-reference supplier names and associated entities against sanctions lists, politically exposed persons (PEP) databases and adverse-media signals. This is the same class of screening used by banks and insurers, now available to every payment decision.
Read the invoice like a forensic auditor.
Amount, due date, line-item and tax extraction
We extract every financially meaningful element from an invoice — totals, due dates, GST amounts, line items, purchase order numbers and bank details — then compare them against the original request, not just accept the rendered total at face value.
Same invoice, different amounts, altered re-submissions
Our engine detects duplicate invoice numbers, re-submitted invoices with altered amounts, and subtle anomalies in document metadata. A scammer who re-uses a previous invoice number with a new BSB will be caught before the payment run.
Real-time scam patterns and feeds
RILLA is continuously fed with emerging scam patterns, malicious domains, fraudulent BSB/account numbers and reported attack vectors from across the Australian market. What hit another business this morning is protecting you this afternoon.
Catch the scam across every channel it arrives on.
Scam-call and suspicious-SMS signals
Phone numbers and SMS senders are checked against reported scam databases, carrier reputation signals and known fraud campaigns. A suspicious call asking to 'update bank details' is connected to the same risk profile as a suspicious email.
Phishing links, malicious URLs and redirects
Every link in an email or SMS is inspected for phishing infrastructure, known malicious destinations, credential-harvesting pages and obfuscated redirects. We warn users before they click, not after the breach.
LLM risk synthesis across all signals
A dedicated forensic AI layer reviews every signal together — not in isolation. It identifies subtle combinations a human might miss: urgency pressure, confidentiality requests, out-of-band payment rails, signature inconsistencies and authority impersonation.
Turn insight into action, and action into proof.
Safe / Verify / High Risk scoring
All fifteen signals are synthesised into a single, actionable verdict with a 0–100 risk score. There is no ambiguity: Safe means proceed with confidence, Verify means double-check before paying, High Risk means stop the payment.
Verified-account freeze and escalation controls
When a supplier's bank details are verified, RILLA can lock them so any future change requires explicit approval. New payees, changed accounts and high-risk verdicts trigger configurable approval workflows before money can move.
Evidence-grade records for disputes and insurance
Every scan, every signal, every decision and every action is recorded in a tamper-evident audit trail. If fraud occurs, you have the evidence to support insurance claims, law-enforcement reports, bank recalls and dispute resolution.
A typical invoice takes less than 10 seconds to scan. In that time, RILLA extracts the document, checks the identity, validates the money path, inspects the communication, queries threat intelligence, applies AI reasoning, and delivers a verdict with a full evidence trail.
Upload, forward or paste any invoice, email, SMS or supplier change.
OCR, header forensics, link inspection and entity extraction run in parallel.
ABN, GST, domain, bank, sanctions, supplier history and threat intel are checked.
AI fuses all signals into a Safe / Verify / High Risk verdict with next steps.
Your invoice data and audit trails stay within Australia. No offshore data leakage.
Policies, controls and evidence packs built for insurance and enterprise procurement.
Every decision is recorded and exportable for disputes, insurance claims and compliance.
RILLA Shield is a complete fraud-defence platform for Australian businesses. Start with 3 free scans and see what fifteen layers of protection feels like.
3 FREE SCANS · CANCEL ANY TIME · AU-HOSTED
