HCLSoftwareās Adam Currie Talks Fighting Fraud in Age of AI
The landscape of fraud detection and identity verification is undergoing a profound transformation.
Fraud, previously done by impersonating someone via email or stealing their password, has seen a leap in sophistication driven by advancements in AI.
Thus as businesses face an escalating threat from cybercriminals employing increasingly sophisticated tactics, the need for robust and efficient solutions has never been more critical.
But how exactly can companies prepare themselves to defend the new frontier of fraud?
To find out more, Cyber Magazine spoke with Adam Currie, Chief Security Officer & Head of IT Engineering at HCLSoftware, about the role of AI in fraud detection and identity verification.
AI in fraud detection
Adam explains that the most significant value AI brings to fraud detection is its ability to analyse events that deviate from known methodologies or processes at a much faster rate.
"When you take a lot of data from multiple different systems and telemetry, there are some tools that provide some value and provide some level of confidence rating into malicious activity", he says.
However, Adam is quick to point out that human intervention is still necessary in the decision-making process.
"There's still a level of analysis that needs to be done by your security professionals to make a determination if this is actually a normal behaviour or if it is indicative of a malicious behaviour", he clarifies.
The integration of AI has significantly reduced the time required to make these crucial decisions. AI is able to really start to speed that process up, meaning time to make a decision is much quicker.
Challenges and opportunities
While AI presents numerous opportunities for enhancing fraud detection capabilities, it also comes with its own set of challenges.
Organisations cannot rely entirely on AI for fraud detection and identity verification processes.
"You can't rely on AI 100% or depend on it because AI is an engine that still analyses based off data and it depends on what type of AI platform your concept of data poisoning still exists", Adam explains.
One of the evolving challenges in this space is the rise of deepfake technology. Adam points out that the sophistication of Gen AI makes it increasingly difficult for employees to discern genuine communications from fraudulent ones.
"The levels of sophistication and realistic nature that Gen AI can produce makes it harder for an employee to ask themselves if something is off or wrong with a message via WhatsApp, Chat, or text messages from their company or personal phone", he says.
AI in fraud prevention: the future
Looking ahead, Adam believes that the continuous evolution of AI will bring both challenges and opportunities in the field of fraud detection and identity verification.
He emphasises the importance of a three-pronged approach: protect, identify, and respond. "The ability to respond is key. No solution is 100% foolproof, so a solution ideally must have strong reaction capabilities against the inevitable zero-day vulnerabilities", Adam states.
Education and training of end-users remain crucial in combating sophisticated social engineering attacks. Adam asserts, "That education and training is really your strongest defence to any of these kind of, more advanced social engineering capabilities".
As AI continues to mature, Adam anticipates improvements in defensive capabilities and identification monitoring. However, it will always be a game of catch-up and response.
"As AI begins to progress, you're going to see more defensive capabilities and identification monitoring capabilities out there. But it's always a game of catch up. It's always a game of response", he states.
In the ever-evolving landscape of fraud detection and identity verification, AI stands as a powerful tool in the arsenal of businesses striving to protect their customers and assets.
While it presents significant opportunities for enhancing security measures, it also necessitates ongoing vigilance, adaptation, and education to stay ahead of increasingly sophisticated fraudsters.
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