Big banks used to be solely responsible for storing and processing financial data. Now it’s FinTech apps, SaaS platforms, payment processors, cloud software providers, and more. This revolution has dramatically expanded the attack surface of financial data.

Today’s financial ecosystems are built on third-party platforms that manage payments, lending decisions, identity verification, and fraud detection. Much of this technology relies on AI, integrates with countless other applications, and spans global jurisdictions. Regulators are noticing.

 

CCPA 2026: Mandatory Risk Assessments Incoming

On January 1, 2026, the California Consumer Privacy Act (CCPA) went into effect with one of the biggest updates to privacy law in years. Financial institutions, FinTech platforms, and any organization that uses automated decision-making tech will be required to perform formal risk assessments and cybersecurity audits. The regulations specifically call out “service providers,” which broadly applies to organizations that handle data on behalf of California residents, including SaaS providers, payment processors, AI systems, and financial technology platforms.

These risk assessments must occur prior to deploying high-risk data processing technologies. Data protection and risk mitigation are expected up-front, not after the fact. Further, organizations must identify and evaluate all uses of AI that impact decisions like lending/borrowing, fraud prevention, underwriting, and customer segmentation. By mandate, organizations are now required to inventory AI technologies in use. Risk assessments for those technologies must be performed. And organizations must have governance policies that govern AI use.

CCPA is doubling down on proactive privacy and security compliance.

 

AI Increases Risk Across Financial Services and FinTech

As the rapid adoption of AI (artificial intelligence) continues throughout financial services, cybercriminals are developing new attack vectors to exploit sensitive data. Already, financial institutions and FinTech companies are leveraging AI to:

  • Improve credit decisioning and underwriting
  • Enhance fraud detection and identity verification
  • Automate customer service
  • Power investment and trading algorithms

 

Regulators know this. Industry leaders know this. Everyone is warning about the security, privacy, and governance risks of AI.

The problem is that AI creates new categories of risk that many traditional security programs don’t address, including:

  • Sensitive training data exposure from AI
  • Automated decisions that lead to compliance violations
  • AI-generated synthetic identities (deepfakes)
  • Vendor risk from third-party AI tools

 

For FinTech platforms that push the limits of speed, automation, and connectivity, the risk gets multiplied. In fact, data breach reports have already increased in the first half of 2026. Regulators anticipate more enforcement action and lawsuits related to privacy violations. It’s not just CCPA that’s changing.

 

Other Regulatory Agencies Expect Risk Assessments

Across the United States, regulatory pressure is mounting for financial institutions and FinTech companies to assess, mitigate, and demonstrate security and privacy risk.

These include (but are not limited to):

  • GLBA guidelines to protect customer financial information
  • NYDFS cybersecurity requirements, including risk assessments and security governance
  • SEC directives to disclose cyber risks to investors
  • HIPAA standards when handling healthcare information

The common theme across each of these regulatory frameworks is risk analysis. Not just a box to check. But a complete identification, analysis, and justification of security and privacy risks. Needless to say, AI isn’t making this any easier. With regulators struggling to keep up with legislative updates, many are concerned that new technologies like AI will outpace security, create systemic risk, and undermine consumer confidence. While FinTech companies are at high risk, traditional financial institutions are just as likely to fall victim.

A common example risk scenario across fintech can look like this:

FinTech Privacy and Security Risk Case Study

Imagine a FinTech lending company that collects and processes customer data across three different systems:

  • AI-based credit scoring and decisioning
  • Third-party identity verification software
  • Cloud-based customer data storage

The process is seamless. Lending decisions are quick. Everything runs smoothly from an end-user perspective.

But what if…

  • The AI model indirectly exposes sensitive training data
  • Sensitive data can be accessed through a third-party API
  • Credit decisions trigger CCPA compliance requirements
  • Fraudsters leverage deepfake identities to trick AI verification tools

Without a comprehensive risk assessment, these risks are unlikely to ever come to light. Yet they are already happening. Researchers warn that AI-generated fraud is on the rise. The FTC has issued multiple warnings about deepfakes being used to trick identity verification technologies.

 

How HALOCK Helps Financial Institutions and FinTech Platforms

In addition to providing regulated industries like healthcare and financial services with reasonable security, HALOCK delivers the actionable tools and frameworks needed to build a legally defensible cybersecurity program.

Unlike anything else in the security marketplace, HALOCK is grounded in the Duty of Care Risk Analysis (DoCRA) framework.

DoCRA establishes reasonable security as protective measures that reduce risk to a level that would not be expected to cause harm to others, while remaining achievable for the organization. This is effectively how regulators are defining “reasonable security” requirements across the board, even if they don’t explicitly say so.

 

Cybersecurity and Privacy Risk Assessments That Matter

HALOCK’s risk assessments are built to meet CCPA, GLBA, NYDFS, and HIPAA requirements. Our services go beyond standard assessments by focusing on realistic threats.

From overall risk assessments to specific areas such as AI Risk Analysis, Privacy Risk Assessments or HIPAA Risk Assessments.

 

Penetration Tests That Your Controls Were Designed For

HALOCK penetration testing services emulate realistic attack scenarios, including initial identity compromise followed by movement laterally through APIs and applications used by FinTech platforms.

 

Incident Response Planning

Caught behind on your incident response plan (IRP)? Security teams have less than 60 days on average to detect, report, and recover from a data breach under CCPA. HALOCK’s incident response service complements penetration tests to prepare you for breaches before they occur.

 

A Modern Security Program You Can Trust

Regulators have made it clear: security programs must be able to demonstrate that security decisions are reasonable and justifiable. We give you the framework you need to ensure your cybersecurity program will hold up.

Learn how HALOCK can help financial institutions and FinTech companies build resilient security programs by scheduling a review of your security posture today.

 

The Growing Risks of Financial Data

Financial services today span multiple third-party vendors, applications, and technologies. Managing cybersecurity and privacy risk across this expanding attack surface is simply baked into doing business.

Organizations will be expected to identify, assess, and mitigate these risks proactively.

 

References

 

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