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CCPA Finalizes Rules on Implicit Bias Risks & Cyber Security Audits in Financial Services Automation

California’s new CCPA regulations on ADMT create new compliance obligations for financial institutions. Learn how the rules impact lending, bias mitigation, consumer notices, risk assessments, and cybersecurity audits.

CCPA Finalizes Rules on Implicit Bias Risks & Cyber Security Audits in Financial Services Automation

On July 24, 2025, California regulators approved a number of regulations under the California Consumer Privacy Act (CCPA) governing the use of automated decision-making technology (ADMT).  The rules impose new obligations around pre-use notices, opt-out rights, risk assessments, and cybersecurity audits.  These regulations carry particular significance for financial services companies, where automated lending and credit decision tools raise serious concerns about implicit bias.  On September 23, 2025, the California Office of Administrative Law (OAL) announced that it had approved the regulations proposed by the California Privacy Protection Agency (CPPA).  With the implementation of these new regulations, it is crucial for financial institutions to evaluate their use of ADMT and ensure compliance. 

What is Automated Decision-Making Technology?

Implicit Bias Risks

Lending and the extension of credit must be fair in nature.  Financial institutions have long faced scrutiny under fair lending laws, and the use of ADMT amplifies that risk.  Some contemplated risks include the following:

These risks can lead to disparate impacts on protected groups and expose lenders to both regulatory enforcement, civil actions, and reputational harm.  California’s regulations require institutions to confront these issues head-on by documenting their processes and justifying their reliance on ADMT.

Pre-Notice Requirements for Businesses that Utilize ADMT

When ADMT is used to make significant decisions, such as whether to extend credit, businesses must provide clear pre-use notices.  For lenders, the challenge will be drafting disclosures that are both legally compliant and accessible to ordinary consumers.  Under the new regulations, before using ADMT to collect personal information, businesses will be required to send Pre-Notices to consumers that explain the purpose of the ADMT, how consumers can opt out or appeal to a human reviewer, what rights they have to access their ADMT-related data, and how the system operates in plain terms.  These requirements will be enforced beginning January 1, 2027. 

The Pre-Use Notice must state, in specific terms, the following:

Opt-Out Requirements

If a consumer opted out, the business would have to cease collection, use, disclosure, and retention of the consumer’s personal information using the ADMT.  However, there are several separate instances where a business would not have to provide an opt-out of its use of ADMT:

Responses to Consumer’s Request to Access Information

Should a consumer request access, the response would have to include: (1) why the business used ADMT; (2) how the ADMT worked with respect to that consumer (such as key factors that affected the ADMT output and how the business used the output to make a decision); and (3) how the consumer can correct the inaccurate information and that no retaliation may be taken against them.

Risk Assessments: Addressing Bias Directly

Impacted businesses must conduct risk assessments before using ADMT in contexts that present significant privacy risks. For finance companies, this includes any use of ADMT to make lending or credit decisions.

Scope of Risk Assessment Reports

Risk assessments require weighing risks to consumer privacy against business and societal benefits.  In practice, this means explicitly evaluating whether data inputs, model design, or deployment practices create a risk of bias, not just basis itself.  A well-documented risk assessment not only supports CCPA compliance but can also demonstrate proactive efforts to mitigate bias under federal and state fair lending laws.  Businesses who sell or share personal information or use ADMT to process personal information must conduct these assessments and provide a risk assessment report to the CPPA.  A risk assessment report must include the following:

Timeline to Submit

Starting April 1, 2028, and every year thereafter, businesses must submit the following to the CPPA:

Cybersecurity Audits

In addition to fairness concerns, financial institutions must prepare for cybersecurity audits, conducted by a qualified independent professional, if their data practices pose significant risks to consumer security. Given the volume and sensitivity of consumer financial data, many lenders will likely fall within the scope of this requirement.  A business’s obligation to undergo a cybersecurity audit is determined by several metrics.  Specifically, a business is subject to a cybersecurity audit if:

Scope of Cybersecurity Audit Reports

The regulations require that each covered business conduct an independent cybersecurity audit that results in a report.  The scope of the audit should generally cover the business’ cybersecurity program, and how the program protects personal information and implements and enforces its cybersecurity controls.  This would include authentication, encryption of data, access controls, account management, incident response, training, and data disposal. More importantly, cybersecurity audit reports must include the following information:

Auditor Requirements

Timeline to Submit

Businesses with less than $50 million in revenue will be required to submit their first report by April 1, 2030; those with $50-$100 million in revenue will be required to submit their first report by April 1, 2029; and those with revenue in excess of $100 million will have to submit their reports by April 1, 2028.

Key Action Items for Finance Companies

To prepare for compliance and reduce both legal and reputational risks, financial institutions should:

Conclusions:

California’s new regulations underscore the dual challenge for finance companies deploying automated systems: protecting consumer privacy and addressing implicit bias.  By treating fairness and transparency as core compliance priorities, institutions can not only meet regulatory obligations but also build greater trust with consumers in an era where algorithmic accountability is increasingly under the spotlight.  It is imperative that businesses subject to the CCPA, evaluate their use of ADMT and establish a process to determine, on an ongoing basis, the applicability of the cybersecurity audit, and privacy risk assessment requirements for their business. 

Professional headshot of Alexis A. Jugan, Esq., Associate at Madison Law, in a white blouse and black suit jacket, smiling confidently.

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