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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. More than 40% of corporate fraud is now AI-driven, designed to mimic real users, bypass traditional defenses and scale at speeds that overwhelm even the best-equipped SOCs.In 2024, nearly 90% of enterprises were targeted, and half of them lost $10 million or more.Bots emulate human behavior and create entire emulation frameworks, synthetic identities, and behavioral spoofing to pull off account takeovers at scale while slipping past legacy firewalls, EDR tools, and siloed fraud detection systems.Attackers weaponize AI to create bots that evade, mimic, and scaleAttackers aren’t wasting any time capitalizing on using AI to weaponize bots in new ways. Last year, malicious bots comprised 24% of all internet traffic, with 49% classified as ‘advanced bots’ designed to mimic human behavior and execute complex interactions, including account takeovers (ATO).Over 60% of account takeover (ATO) attempts in 2024 were initiated by bots, capable of breaching a victim’s credentials in real time using emulation frameworks that mimic human behavior. Attacker’s tradecraft now reflects the ability to combine weaponized AI and behavioral attack techniques into a single bot strategy.That’s proving to be a lethal combination for many enterprises already battling malicious bots whose intrusion attempts often aren’t captured by existing apps and tools in security operations centers (SOCs).Malicious bot attacks force SOC teams into firefighting mode with little or no warning, depending on the legacy of their security tech stack.“Once amassed by a threat actor, they can be weaponized,” Ken Dunham, director of the threat research unit at Qualys recently said. “Bots have incredible resources and capabilities to perform anonymous, distributed, asynchronous attacks against targets of choice, such as brute force credential attacks, distributed denial of service attacks, vulnerability scans, attempted exploitation and more.”From fan frenzy to fraud surface: bots corner the market for Taylor Swift tickets  Bots are the virtual version of attackers who can scale to millions of attempts per second to attack a targeted enterprise and increasingly high-profile events, including concerts of well-known entertainers, such as Taylor Swift.Datadome observes that the worldwide popularity of Taylor Swift’s concerts creates the ROI attackers are looking for to build ticket bots that automate what scalpers do at scale

Trustfull, a fraud prevention provider, has launched its Login Solution to analyse behavioural and device-related signals to combat ATO fraud. According to SpyCloud, ATO attacks are on the rise, with a 24% YoY increase, resulting in nearly USD 13 billion yearly losses. Driven by data breaches, GenAI, and social engineering techniques, ATO attacks are a growing threat against businesses and their customers.Reducing ATO and fraud risk at login. Trustfull offers fraud prevention tech to support businesses worldwide in reducing risk and accelerating growth. Its platform provides digital signals to accurately detect fraud, and financial crime attempts across the consumer journey

Trustfull, a leader in identity intelligence for fraud prevention, today announced the launch of Login Solution, which analyses hundreds of behavioural and device-related signals to combat surging account takeover (ATO) fraud.ATO attacks – when cybercriminals gain unauthorized access to existing accounts to steal users’ stored payment details, funds, and digital identities – are on the rise, increasing by 24% YOY in 2024 and resulting in nearly $13 billion yearly losses. Fuelled by data breaches, advanced social engineering techniques, and generative AI, ATO attacks are a growing threat against businesses and their customers.Trustfull’s new solution helps prevent ATO by identifying suspicious login attempts and ensures frictionless authentication in the case of legitimate access.During the login enrolment phase, Trustfull captures a snapshot of the user’s behavioural patterns and device characteristics. At every subsequent login, new data is compared against the original enrolment to assess similarity, enabling silent, instant verification for genuine users while flagging when additional checks, like multi-factor authentication and one-time passcodes, are required.The new Login API—powered by a customisable rule engine that adapts to each client’s unique needs—continuously refines its risk-scoring model to reflect legitimate user behaviour over time. A centralized dashboard provides granular visibility into authentication activity, enabling real-time decision-making and early detection of potential threats.Francesco Panina, Trustfull’s Chief Technology Officer, underscored the technical significance of the new offering: “Open Source Intelligence is the guiding principle behind all Trustfull products and solutions. To strengthen ATO protection, we have developed a lightweight JavaScript SDK that combines OSINT data on returning users’ device, browser, and IP information with unique behavioural signals, like keystroke dynamics and mouse movements. The result is a truly dynamic authentication layer that can detect account takeover attempts before it’s too late.”The new solution is now available for fast integration, catering to businesses across industries