Dam Secure: The Australian AI Startup Fighting Call Centre Scams
Scam calls cost Australians hundreds of millions of dollars every year. Behind those calls are sophisticated, often offshore criminal operations using AI voice synthesis, spoofed numbers, and social engineering scripts to defraud businesses and consumers. Dam Secure is an Australian AI startup fighting back: using AI to detect and stop scam calls before they reach their targets.
The Problem Dam Secure Is Solving
The Australian Competition and Consumer Commission’s Scamwatch data consistently shows phone-based scams among the highest-loss categories for Australian consumers and businesses. Scam calls include:
- Impersonation scams: callers pretending to be the ATO, NBN, banks, or government agencies
- Business email compromise (BEC) phone component: phone calls reinforcing fraudulent email requests to change payment details
- Voice synthesis scams. AI-generated voices mimicking real people (executives, family members) to authorise fraudulent transactions
- Investment scams: cold calls pitching fake investment opportunities
As AI voice synthesis improves, the threat is escalating: it’s now possible to clone a voice from a few seconds of audio, making traditional “voice recognition” defences obsolete.
How Dam Secure Works
Dam Secure uses AI to analyse call patterns, voice characteristics, and behavioural signals in real time to identify likely scam calls before they cause damage. Rather than relying on blocklists of known scam numbers (which change constantly), the platform focuses on detecting the patterns that characterise scam calls: call frequency, origin characteristics, voice synthesis markers, and script patterns.
The approach is particularly relevant for call centres and financial institutions, where large volumes of inbound and outbound calls need to be monitored for fraud signals without degrading the customer experience for legitimate callers.
The US$4 Million Raise
In January 2026, Forbes Australia reported that Dam Secure had raised US$4 million (approximately AU$6.3 million) to scale its AI security platform. The funding will support expansion of the company’s engineering team and customer acquisition efforts across Australian financial services, telecommunications, and government sectors.
The AFR also reported that Dam Secure was valued at $100 million, reflecting investor confidence in the scale of the problem the company is addressing and the quality of its solution.
Why This Matters for Australian Small Businesses
Small businesses are increasingly targeted by phone-based fraud: particularly payment redirection scams, where criminals call posing as suppliers and request a change of bank details ahead of a scheduled payment. The Australian Financial Complaints Authority (AFCA) has seen a significant increase in business scam complaints.
While Dam Secure’s product is primarily aimed at larger organisations with call centre operations, the broader AI-powered anti-fraud space is expanding rapidly: and tools targeting SMBs are following. In the meantime, Australian small business owners should:
- Establish callback verification procedures for any request to change payment details
- Use a separate, known number (not one provided by the caller) to verify identity
- Register with the Do Not Call Register to reduce unsolicited calls
- Report scam attempts to Scamwatch
Dam Secure at a Glance
| Category | AI security / Anti-fraud / Call centre |
| Raise | US$4 million (Jan 2026) |
| Valuation | ~$100 million |
| Focus | AI detection of scam calls targeting businesses and consumers |
| Relevance | Financial services, telcos, government, call centres |
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Sources
- Forbes Australia. AI security startup Dam Secure banks US$4 million
- AFR. Australian start-up fighting call centre scams valued at $100m
- ACCC Scamwatch. Scam statistics
Related Reading
- Kasada. Australian AI Fraud Detection Profile
- Australian Privacy Law and AI
- Australian AI Companies: Milestones 2026
📋 Browse all Australian AI company profiles: Australian AI Companies: The Complete Guide by Industry (2026) →
This profile is part of SmallBizAI.au’s guide to Australian AI companies by industry and our Australian AI Companies directory.
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