From risk to real-time: fraud detection moves to the SOC
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According to a report, more than 40% of corporate fraud is now driven by AI technology. This AI-driven fraud is sophisticated, mimicking real user behavior, bypassing traditional defenses, and operating at speeds that overwhelm security operations centers (SOCs).
In 2024, almost 90% of enterprises were targeted by AI-driven fraud, with half of them experiencing losses of $10 million or more.
Malicious bots, powered by AI, are now capable of emulating human behavior, creating synthetic identities, and employing behavioral spoofing techniques to carry out account takeovers on a large scale. These bots can evade legacy firewalls, endpoint detection and response (EDR) tools, and traditional fraud detection systems.
Attackers weaponize AI to create bots that evade, mimic, and scale
Malicious actors are leveraging AI to create advanced bots that can mimic human behavior and execute complex interactions like account takeovers. In 2024, 24% of internet traffic was attributed to malicious bots, with 49% classified as ‘advanced bots’ designed to mimic human actions.
Over 60% of account takeover attempts in 2024 were initiated by bots using emulation frameworks to breach credentials in real-time. Attackers are combining weaponized AI with behavioral attack techniques to create sophisticated bot strategies that pose a significant challenge to existing security tools in SOCs.
Malicious bot attacks can catch SOCs off guard, forcing them into reactive firefighting modes due to the limitations of their security tech stacks.
From fan frenzy to fraud surface: bots corner the market for Taylor Swift tickets
Bots are being used to manipulate high-demand events like Taylor Swift concerts, where they automate the process of buying tickets in bulk and reselling them at inflated prices. These ticket bots overwhelmed platforms like Ticketmaster, causing crashes and preventing genuine fans from accessing tickets.
Companies like DataDome are combating such scalping attacks by deploying AI-driven solutions that differentiate between legitimate users and bots in real-time, ensuring fair access to tickets.
Why SOC teams are now on the front line
Given the escalating threat posed by weaponized bots, SOC teams are at the forefront of defense against AI-driven attacks. Traditional fraud tools are insufficient to combat the speed and stealth of modern bot attacks, leading organizations to adopt online fraud detection platforms.
Gartner’s research emphasizes the importance of integrating fraud detection capabilities into SOC operations to effectively counter AI-driven threats.
Journey-Time Orchestration is the next wave of online fraud detection (OFD)
Gartner advocates for the adoption of Journey-Time Orchestration (JTO) as a crucial architecture for modern online fraud detection platforms. JTO focuses on continuous monitoring of user sessions to detect AI-driven bot attacks and enhance overall security.
Journey-Time Orchestration continuously scores risk across the entire user session—from login to post-transaction—to detect AI-driven bots. It replaces single-point fraud checks with real-time, session-wide monitoring to counter behavioral mimicry and context-switching attacks. Source: Gartner, Innovation Insight: IAM Journey-Time Orchestration, Feb. 2025
Who’s establishing an early lead in Journey Time Orchestration defense
Companies like DataDome, Ivanti, and Telesign are at the forefront of implementing Journey Time Orchestration defense strategies to combat AI-driven fraud. These companies are leveraging real-time data, AI technologies, and continuous learning to stay ahead of evolving threats.
DataDome: Thinking Like an Attacker in Real Time
DataDome specializes in real-time bot defense, utilizing AI-based behavioral modeling to distinguish between bots and legitimate users. Their platform analyzes millions of data points daily to detect and prevent fraudulent activities in real-time.
DataDome’s approach focuses on continuous adaptation to zero-day tactics and minimizing friction for genuine users while effectively combating bot-driven fraud at scale.
Ivanti Extends Zero Trust and exposure management into the SOC
Ivanti integrates real-time fraud signals into SOC workflows through its Neurons for Zero Trust Access and Neurons for Patch Management platforms. By extending zero-trust principles to session behaviors, Ivanti enhances security posture and predicts threats faster with AI-driven capabilities.
Ivanti’s approach helps detect and mitigate threats like SIM swaps, lateral movement, and dynamic microsegmentation to proactively manage exposure to vulnerabilities.
Telesign’s AI-driven identity intelligence pushes fraud detection to session scale
Telesign leverages AI-driven identity intelligence to deliver real-time risk scores and prevent fraud at session scale. By analyzing various digital identity signals, Telesign’s APIs detect and mitigate fraudulent activities across multiple channels.
Telesign’s dynamic risk scoring approach continuously evaluates user behavior throughout the session, leveraging machine learning to stay ahead of evolving fraud tactics.
Why fraud prevention’s future belongs in the SOC
Integrating fraud prevention tools into SOC operations is essential to combat AI-driven fraud effectively. Online fraud detection platforms, combined with other security technologies, are crucial for mitigating evolving threats and ensuring transaction integrity.
