Why security stacks need to think like an attacker, and score every user in real time
1 min read
Summary
More than 40% of organisational fraud is now AI-driven, designed to mimic real users in order to bypass traditional defences, according to VentureBeat.
In 2024, almost 90% of companies were targeted, with half of them sustaining losses of $10m or more.
Attackers are using AI to create bots that can evade, mimic and scale, comprising 24% of all internet traffic last year, of which 49% were ‘advanced bots’ that could mimic human behaviour and carry out complex interactions including account takeovers.
Over 60% of account takeover attempts were carried out by bots last year, many of which used emulation frameworks to mimic human behaviour to breach victim’s credentials in real time.
As a result, more enterprises are bolstering the tech stacks that support their security operations centres (SOCs) with online fraud detection (OFD) platforms.
Key to this is journey-time orchestration, which scores risk continuously from login to checkout to post-transaction behaviour, replacing single-point fraud checks with real-time, session-wide monitoring in order to counter behavioural mimicry and context-switching attacks.