Fraud is getting harder to spot, and the numbers reflect it. California ranked first in the country for internet crime complaints in 2024, with reported losses topping $2.5 billion. Nationally, total cybercrime losses reached $16.6 billion, which is a 33% increase from 2023. AI scams targeting California businesses are a significant driver of that growth. This blog covers what these threats look like, why they slip past conventional defenses, and what businesses can do to reduce their exposure.
What AI-Powered Scams and Deepfake Fraud Actually Look Like
AI gives criminals an expanding toolkit, which means the methods are becoming harder to spot. At the high-value end, criminals clone an executive’s voice or generate deepfake video to impersonate them during a call and authorize a fraudulent wire transfer. In one documented case, engineering firm Arup lost $25.6 million after a finance employee was deceived by a deepfake video call, where every face and voice in the meeting was AI-generated.
Generative AI can also produce convincing phishing messages tailored to individual recipients, fabricate entire synthetic identities by combining stolen personal data with AI-generated details, and build cloned versions of legitimate websites that are difficult to distinguish from the real thing. Even after takedown requests, spoofed domains resurface, keeping fraud teams in a reactive cycle while credential theft continues.
Furthermore, Experian’s 2026 Future of Fraud Forecast flags deepfake job candidates, a new addition to an already-expanding threat landscape. AI tools can now generate tailored resumes and conduct real-time deepfake video interviews convincingly enough to pass standard hiring screens. The FBI issued multiple warnings in 2025 about documented instances of this tactic being used to place bad actors inside US companies and access their internal systems.
How AI Is Scaling Cybercrime Beyond Human Capacity
AI automation allows a single attacker to run dozens of campaigns simultaneously, targeting hundreds of businesses at once. Experian describes the leading threat to companies in 2026 as “machine-to-machine mayhem,” a scenario in which cybercriminals deploy automated bots that blend in with legitimate AI traffic, making them far harder for conventional filters to catch.
The financial data shows how effective this has become. Based on the same Experian forecast, nearly 60% of companies reported increased fraud losses from 2024 to 2025. When losses grow faster than complaint volumes, it means individual attacks are more damaging.
It’s important for small and mid-sized businesses across California to understand that the attack tools behind these campaigns no longer require advanced technical expertise to deploy. They are accessible, increasingly automated, and aimed at the same organizations that have historically assumed large enterprises were the primary targets. For broader context on how these tactics are developing, see our overview of AI-powered fraud trends affecting California businesses.
Why Conventional Security Tools Are Falling Short on AI Scams
Standard security controls were built to detect known patterns. Signature-based filters, basic spam detection, and password policies still provide a baseline, but they were not designed for threats generated by AI.
According to Microsoft’s Security Blog, AI-generated phishing emails are achieving click-through rates of 54%, compared to roughly 12% for standard campaigns. That’s a 4.5x difference that Microsoft attributes directly to AI’s ability to personalize messages at scale. That gap exists because AI eliminates the obvious red flags employees have been trained to spot, such as awkward phrasing, generic greetings, and manufactured urgency. Deepfake audio and video then sidestep biometric and behavioral checks that rely on recognizing a known voice or face. Synthetic identities pass standard verification by combining real stolen data with fabricated details, producing no flags that conventional fraud filters recognize.
California leads the country in internet crime complaints precisely because it has the largest concentration of businesses, and the cyber security risks they face are growing in sophistication. Businesses that haven’t revisited their security tools in the past few years are working with defenses built for a different threat.
What Proactive IT Security Actually Involves
Proactive security is built around detecting unusual behavior before it causes damage, rather than responding after the fact.
For most small business owners, that means a few concrete things. Identity management systems that layer multiple verification checks, rather than relying on a single credential. Endpoint detection and response tools that monitor for behavioral anomalies, rather than scanning for known malware signatures. Staff training that helps employees recognize social engineering, including attempts using AI-generated voice or video. And multi-factor authentication configured without a single point of failure.
The challenge for most small businesses is having someone configure them correctly, maintain them as threats shift, and verify they’re working together as intended. IT support that is proactive rather than reactive is what creates that consistency. According to Experian’s 2025 U.S. Identity and Fraud Report, 72% of business leaders expect AI-generated fraud and deepfakes to be among their top operational challenges this year. Having a plan that matches that concern is a different matter.
How Managed IT Services Help California Businesses Stay Ahead of AI Scams
Most small businesses do not have in-house security teams monitoring their environment around the clock, and that gap is where managed IT support makes a practical difference.
A managed service provider handles the implementation and ongoing maintenance of layered security tools, keeps defenses updated as threats evolve, and provides the oversight that most smaller businesses cannot staff themselves. Grapevine MSP works with businesses across a range of industries throughout Bakersfield and the San Joaquin Valley and delivers the kind of security monitoring that gives business owners an accurate picture of where their risks actually sit.
Contact the Grapevine MSP team to find out if your current setup is built with these threats in mind and what protections make sense for your situation.
