Every year in March, something predictable happens inside small and mid-sized businesses.
Financial deadlines converge. Inboxes fill. Bookkeepers chase missing documentation. Accountants send reminders. Owners respond between meetings. Employees forward files quickly just to keep work moving.
No one is careless.
Everyone is busy.
And that is precisely why this period matters from a security and operational standpoint.
Cybersecurity teams and threat researchers consistently observe seasonal spikes in phishing campaigns during tax season. The U.S. Internal Revenue Service has repeatedly warned that attackers impersonate accountants, tax preparers, and financial institutions because the requests appear routine during filing periods.
The reason is simple: attackers do not target systems first.
They target behavior.
Why Timing Works Better Than Sophistication
Most business leaders imagine cyberattacks as technical events — malware, breached servers, or stolen passwords.
In practice, many incidents begin with an ordinary email.
A request to resend payroll data.
A message about updated banking information.
A document signature request that looks legitimate.
A short message from an executive asking for help while traveling.
These messages succeed not because they are complex but because they match what employees already expect to see. During tax season, sensitive financial information moves frequently through organizations. Attackers mimic that normal workflow.
Research from the FBI’s Internet Crime Complaint Center shows that Business Email Compromise (BEC) remains one of the costliest cybercrime categories, generating billions in reported losses annually (ic3). The common factor in these incidents is not a technical vulnerability. It is a trusted request acted on quickly.
The attack is effective because it aligns with operational pressure.
The Real Target Is Not the Accountant
Businesses often assume accounting firms themselves are the primary target.
In reality, the surrounding organizations are equally attractive. Clients, vendors, and internal finance staff all exchange sensitive information rapidly during this period. Verification steps shorten because everyone is trying to meet deadlines.
Speed changes behavior.
Employees who normally verify requests may skip confirmation. Leaders who usually review documentation carefully may approve quickly. Teams prioritize responsiveness over process.
This is not negligence.
It is workflow compression.
And workflow compression is where mistakes occur.
Why People Make the Wrong Decision
Under normal conditions, employees evaluate unusual requests carefully. Under pressure, they rely on pattern recognition. If a message looks familiar and fits current activity, they act.
Attackers design messages specifically for this environment. They do not need to trick someone technically. They only need to remove hesitation.
Psychologists describe this as cognitive load. When attention is divided and deadlines are close, individuals shift from analytical thinking to automatic response. Instead of asking, “Is this legitimate?” they ask, “Does this fit what I’m doing today?”
During tax season, almost every financial request fits.
This explains why well-trained employees still fall victim. The issue is not knowledge. It is context.
Where This Now Connects to AI
This same behavioral condition now intersects with artificial intelligence.
Employees increasingly use AI systems to summarize financial documents, draft responses, and interpret reports. Under time pressure, the incentive to move faster grows. The step that disappears is verification.
A staff member pastes a spreadsheet into an AI assistant to check totals quickly.
Another rewrites an accountant’s email using an AI drafting tool.
Someone analyzes payroll data to answer a question faster.
Each action appears productive.
However, the organization may now be transmitting sensitive financial information into systems leadership has never reviewed or approved. The decision is not malicious. It is operational — a faster way to complete work during a busy period.
The problem is not only phishing anymore.
It is unstructured data handling.
Tax season does not just increase external threats. It increases internal exposure through well-intended efficiency.
Why Technology Alone Doesn’t Solve This
Businesses often respond by adding email filters or security software. Those tools are important, but they address only part of the problem.
Security tools detect suspicious messages.
They do not control human workflow decisions.
The actual risk lies in how employees handle urgent requests, sensitive information, and productivity tools during pressure periods. Without defined expectations, each individual decides differently.
This is why organizations can invest in cybersecurity technology and still experience incidents. The technical environment may be protected, but the operational process is undefined.
AI accelerates this gap because it lowers the barrier to processing sensitive information outside established workflows.
The Governance Question
The critical leadership question is not:
“How do we stop every phishing email?”
It is:
“How should our organization handle sensitive information when speed matters?”
Well-run businesses already answer this question in finance and compliance. They define approval authority, review requirements, and documentation procedures. AI and digital communication now require the same operational clarity.
At minimum, organizations need to establish:
• what financial or personal data may be entered into AI tools
• when verification is required before responding to requests
• how employees confirm identity for urgent messages
• who is responsible for approving sensitive transmissions
These are management expectations, not technical configurations.
When expectations exist, employees act consistently even during busy periods. Without them, behavior depends on judgment under pressure.
What Prepared Organizations Do Differently
Organizations that navigate tax season smoothly do not rely on individual caution. They rely on predefined procedures.
They slow verification for payment changes.
They require secondary confirmation for urgent requests.
They define acceptable use of automation tools.
They clarify accountability for sensitive communications.
These steps do not reduce productivity. They reduce uncertainty.
From an MSP perspective, the companies experiencing the fewest security and data handling issues are not the least busy. They are the most structured.
They recognize that busy periods do not create risk — unstructured responses to busy periods do.
A Practical Next Step
You do not need to overhaul your technology to address this. You need clarity about how your organization currently handles sensitive information and productivity tools under pressure.
That is the purpose of AI governance: defining acceptable usage, accountability, and verification standards before an incident forces the discussion.
You can learn more about establishing those guardrails here:
Define AI usage and guardrails
Tax season phishing campaigns succeed because they exploit normal business behavior. People act quickly to complete legitimate work.
Artificial intelligence now operates in the same environment. It offers speed and efficiency, but without structure it also increases exposure.
The real issue is not whether your employees will encounter suspicious messages or productivity tools. They will.
The question is whether your organization has defined how decisions should be made when urgency replaces routine.
Businesses do not become vulnerable because they are busy.
They become vulnerable because busy moments reveal whether a process exists.
Well-run organizations prepare for pressure before it arrives.
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