Summary: New cybersecurity, privacy, and AI regulations are changing what technology companies need to show customers, investors, and regulators, and some obligations are already in effect. In this article, Team Aprio delves into what’s changing in Europe and the U.S., why automated decision-making is drawing new scrutiny, and the practical first step your team can take now.
Cybersecurity, privacy, and artificial intelligence (AI) regulations are evolving rapidly, creating new obligations and expectations for technology companies while increasing scrutiny from customers, regulators, investors, and enterprise buyers. What was once viewed as a legal and compliance exercise has now become a business issue that can directly influence revenue, customer trust, vendor selection, fundraising, and enterprise deal cycles.
The question most technology leaders are asking isn’t “What changed?” but rather “What does this mean for my business, what will it cost, and when do I need to act?”
The answer is increasingly complex. Regulatory requirements continue to expand across cybersecurity, data privacy, and AI. Some laws and reporting obligations are already in effect, and others will continue to roll out in the next several years. Organizations that wait until formal enforcement begins may find themselves scrambling to catch up with customer demands, procurement requirements, and growing regulatory expectations.
The organizations gaining an advantage aren’t necessarily those spending the most on compliance. They’re the ones building visibility into their systems, documenting processes, and creating governance frameworks before a regulator, customer, investor, or auditor asks difficult questions.
New cybersecurity reporting requirements are already here
Many organizations have focused on the European Union’s Cyber Resilience Act (CRA), with December 2027 circled on their roadmaps. The assumption has been that meaningful action could wait until closer to the broader implementation deadline.
That assumption may no longer be accurate.
Organizations selling products with digital elements into the European Union (EU) should be aware that certain reporting obligations became effective on September 11, 2026. These requirements apply to actively exploited vulnerabilities and affect both newly developed products and products already in the European market.
For many technology companies, this represents a shift in how product security incidents must be managed and communicated. Security teams traditionally focused on identifying issues, remediating vulnerabilities, and communicating with customers. Increasingly, regulators expect organizations to demonstrate structured reporting processes, documented response procedures, and clear accountability for cybersecurity events.
The challenge is that many product teams remain focused on future compliance deadlines and may overlook several obligations that have already arrived.
This trend highlights a broader reality: cybersecurity compliance is becoming more operational. Organizations need more than technical controls in place. They now require governance structures that clearly define who identifies incidents, who evaluates reporting obligations, who communicates with regulators, and how those processes are documented.
Companies that address these requirements early can help reduce risk while demonstrating maturity to customers and business partners who are increasingly evaluating cybersecurity practices during procurement processes.
Privacy regulation continues to expand
Privacy regulation is undergoing a similar transformation.
While privacy discussions historically centered on notice requirements and consent management, regulators are ever more focused on how organizations use data to make decisions about individuals. Automated decision-making, profiling, and AI-enabled processes are receiving heightened attention all over the world.
A recent European case involving Uber and 171 French drivers illustrates the potential financial consequences of these issues. The case has drawn significant attention because it highlights growing regulatory scrutiny around automated decision-making and the ability of organizations to explain how systems affect individuals.
In the United States, privacy regulation continues to accelerate. Over a dozen state privacy laws are already in effect, with additional requirements scheduled throughout 2027. Organizations operating nationally can no longer assume that one privacy program will automatically satisfy every jurisdiction.
Of note, California is expected to have one of the most significant business impacts. New rights related to automated decision-making technology are scheduled to take effect on January 1, 2027. In addition, certain risk assessment requirements are due by December 31, 2027, including assessments connected to processing activities that may already occur today.
What makes these requirements particularly challenging is that many organizations are already using automation without maintaining a formal inventory of automated decisions. Machine learning models, AI tools, customer scoring systems, fraud detection platforms, hiring technologies, and recommendation engines frequently influence business decisions. Yet many organizations cannot easily identify where these systems exist, who owns them, or what documentation supports them, all of which can create risk.
When customers, regulators, or auditors ask how a decision was made, organizations must be able to explain the process. Being unable to answer that question is increasingly becoming a compliance issue rather than a simple operational inconvenience.
AI governance: delays do not equal permission to wait
Artificial intelligence remains one of the most dynamic regulatory areas for technology companies.
Many headlines have focused on delays associated with portions of the EU AI Act. While certain requirements originally expected in 2026 have shifted into 2027 and 2028, that doesn’t mean organizations can postpone governance efforts. Existing obligations remain, and regulators continue to examine AI use through the lens of privacy, transparency, documentation, and accountability.
In the U.S., various states are moving at different speeds. Colorado recently revised portions of its AI legislation, while Texas already has AI-related requirements in effect. The regulatory landscape remains fragmented, which can make it difficult for organizations to know where to dedicate their resources first.
A common mistake many organizations make is waiting for AI-specific regulations before implementing governance.
Many AI systems already fall under existing privacy, cybersecurity, consumer protection, and transparency obligations. Regulators may disagree on terminology, but they are aligned with one expectation: organizations should understand what their AI systems do, what data those systems use, how decisions are made, and what safeguards are in place.
Waiting for perfect clarity may feel safe, but it often creates greater long-term risk.
Organizations that establish AI governance programs now are generally in a stronger position to adapt as regulations evolve.
The practical step most organizations can take today
When Team Aprio works with clients, one recommendation consistently rises to the top: create an inventory of automated decisions and AI-enabled processes.
Most organizations can quickly identify their major AI initiatives. Fewer can identify every technology-enabled decision occurring across HR, marketing, finance, security, customer support, product development, and operations.
Start by documenting where automation exists. For each process, ask the following questions:
- What decision is being made?
- What data is used?
- Is meaningful human review involved?
- How is the process documented?
- Can the organization explain the outcome if questioned by a customer, regulator, investor, or enterprise buyer?
This exercise often reveals gaps that would otherwise remain hidden, until due diligence reviews unearth them or regulatory inquiries occur.
Organizations should also consider evaluating their governance framework against recognized standards such as ISO 42001. While ISO 42001 alone does not guarantee compliance with every current or future regulation, it can provide a strong foundation for AI governance, accountability, risk management, and documentation practices.
A simple way to think about it is this: if someone asked tomorrow how your systems make decisions about people, could you answer confidently and produce supporting documentation?
If not, now is the time to begin.
Final thoughts: prepare now for cybersecurity, privacy, and AI regulations
From cybersecurity and privacy compliance to AI governance and assurance services, Team Aprio helps technology companies navigate a rapidly changing regulatory environment while building programs that support growth.
Our professionals work with organizations across industries on SOC 2, ISO 27001, PCI DSS, HIPAA, CMMC, FedRAMP, privacy programs, AI governance initiatives, and the security and compliance questions increasingly appearing in enterprise procurement processes.
In today’s landscape, compliance isn’t merely about meeting requirements. It’s about creating trust with customers, investors, regulators, and business partners.
The organizations that act early can be better positioned to manage risk, accelerate enterprise sales, and adapt as regulations continue to evolve.
Connect with Team Aprio to learn how we can help your organization Account for Anything®.
