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I have came across multiple job offers looking for anti fraud ML engineers. Big tech seems to be very willing to hire talents in this domain
Did a little bit of research into anti-fraud and the job scope includes detection of phishing attacks and fraudulent transactions etc
I think they are very similar to attack detection/triage, threat hunting used in Cybersecurity ML
Just wondering if someone with white-hat hacking knowledge & familiar with ML will be advantageous as an applicant for anti-fraud ML engineers?
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Not sure but that sounds like you’d at least have a good conversation in the interview. Just my current opinion on this but data science skills are going to be really important in security in the cloud and ML is a big part of that. Either way sounds like cool work
yes my core competency is still in white hat hacking but picking up data science (which isn't hard since most of it are using open-sourced libraries except for the cleansing part) to do work on the defensive side. so this anti-fraud domain seems interesting to me
Fraud is typically separate from security in companies. It will be a good question to ask during the interview. Additionally, I recommend trying to figure out how you will get the data (synthetic can set you to fail as opposed to real data), what from your security experience will be beneficial in this job (finding a buffer overflow is different from bypassing ML), and what would be the interactions with other teams (who defines the scenarios and what are the expected outcomes from each team).
I am specifically talking about fraud detection for web-based transactions (like in ibanking or ecommerce). Are we able to bring in things like CSRF/XSS/phishing/account-takeover detection that results in fraudulent transactions?
For data, I can use my pentesting knowledge to attack the system and then to exfiltrate the data to be used to train the ML model to detect the attacks that I did (which will result in fraudulent transacts)
I think domain knowledge would certainly help for any ML engineering job.
It might also depend on the depth of your familiarity with ML. Any company hiring an ML engineer above graduate level would expect a certain amount of industry experience. It's one thing to train a classifier on iris data. It's another thing to find signals in data sets that are huge, high dimensional and messy as fuck.
Nope. AML is not part of Cyber.
Anti money laundering ML. What is it under then?
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