Microsoft Security Changes in 2026: What Businesses Need to Know

26 February 2026

Microsoft continues to push security forward, particularly around authentication and conditional access. The direction is clear. Passwords on their own are no longer acceptable protection, especially in regulated industries like financial services.

For finance organisations, this is not just a technology shift. It is a risk management and compliance issue.

The shift towards passwordless authentication

Microsoft is steadily encouraging organisations to reduce their reliance on passwords and move toward stronger, phishing-resistant authentication methods. This includes:

Windows Hello for Business
Biometric or PIN-based sign-in tied to a specific device. For example, a finance analyst accessing sensitive reporting tools signs in using facial recognition on their corporate laptop. Even if credentials are stolen, they cannot be reused elsewhere.

Passkeys
Passwordless credentials that cannot be phished or reused. A common use case is external portals for advisers or partners, where passkeys remove the risk of weak or reused passwords entirely.

Microsoft Authenticator
Push-based approvals and number matching dramatically reduce the success of MFA fatigue attacks. This is especially relevant for finance teams that are frequent phishing targets during reporting cycles or payroll runs.

Conditional Access policies
Access decisions based on identity, device health, location, and risk. For instance, a trader logging in from a managed device in the office may have seamless access, while the same login attempt from an unmanaged device overseas triggers additional verification or is blocked.

For organisations still heavily reliant on traditional passwords, this transition can feel disruptive. In finance environments, where uptime and accuracy matter, any change to authentication must be carefully planned.

Why this matters more in financial services

Credential stuffing and phishing attacks continue to rise, and finance firms are prime targets. Attackers know that a single compromised account can lead to:

• Fraudulent payments

• Data exfiltration

• Regulatory breaches

• Reputational damage

Passwords are easy to steal, reuse, and automate against. Even strong password policies do little to stop modern attacks when users are targeted directly.

What we’re seeing finance organisations adopt

Many of our finance-sector clients are moving toward a layered approach rather than a single control.

Mandatory multi-factor authentication for all users
This includes executives, administrators, and service accounts where possible. One common lesson learned is that excluding “low-risk” users often creates the easiest entry point for attackers.

Risk-based login policies
Instead of treating every login the same, access is adjusted based on risk signals. For example, a payroll manager logging in during normal business hours from a trusted device sees no friction. The same account logging in at 2am from a new country is challenged or blocked.

Session monitoring for unusual behaviour
Even after successful login, behaviour is monitored. Downloading unusually large volumes of data or accessing systems not normally used by that role can trigger alerts or session termination.

Making the transition without breaking workflows

The biggest mistake we see is organisations turning on controls without considering how people actually work. In finance teams, this can quickly cause frustration or risky workarounds.

At Maple, we help businesses implement these controls properly rather than reactively. That means:

• Phasing in passwordless methods alongside existing sign-in

• Testing policies with real user roles like finance ops, compliance, and leadership

• Aligning security settings with regulatory requirements and audit expectations

• Reducing friction where risk is low and increasing it only where needed

Security should support the business, not slow it down. For finance organisations, getting authentication right is one of the most effective ways to reduce risk without adding unnecessary complexity.