June, 2026

Most cyberattacks do not start with a sophisticated intrusion. They start with a click on a personal email, a reused password, or a file uploaded to a familiar cloud service because the approved option felt slower.

The Verizon Data Breach Investigations Report found that 68% of breaches involve the human element. 

Not a zero-day exploit. Not a brute-force attack on a hardened system. Human behavior, in the course of an ordinary working day.

For businesses running cloud-based workflows across multiple devices, the personal and professional overlap is now the rule. Understanding where that overlap creates risk is no longer optional. It is a core part of modern security strategy.

The Risk Sitting Outside Your Security Stack

Personal web habits are not reckless behavior. They are normal behavior.

Checking a personal inbox on a work laptop. Logging into a social account during a break. Saving a work password in a browser already loaded with personal accounts. Uploading a document to a storage service because it is faster than the approved option.

None of these feel like security decisions in the moment. But each creates a connection between personal digital activity and business systems, and that connection sits outside most traditional security controls.

Hardening systems, deploying tools, and locking down networks addresses part of the problem. The rest moves with the people.

How Personal Web Habits Create Business Exposure

Personal channels are phishing’s preferred territory

Personal inboxes, messaging platforms, and social media feeds are where phishing thrives. 

These environments are harder to filter, easier to spoof, and loaded with the emotional triggers that make people act before they think.

When those channels share a device or browser with business systems, a single click can cross the boundary instantly.

Phishing is the most common entry method for attackers precisely because it exploits distraction rather than technical weakness. The target does not need to be careless. They just need to be busy.

Password reuse turns personal breaches into work incidents

Password reuse is one of the most direct connections between personal and professional exposure. 

When credentials from a personal account are compromised, attackers run them against business systems automatically. This technique, credential stuffing, is low-effort and highly effective because so many people use the same password across multiple accounts.

Unique credentials for every account, combined with multi-factor authentication, break that chain. 

A personal breach has nowhere to go when the work account requires a second factor that the attacker cannot relay.

Shadow IT is usually about convenience, not defiance

Most unauthorized tool usage does not begin with disregard for IT policy. It begins with a productivity gap. Employees use personal cloud storage, consumer messaging apps, or AI tools because they are faster and more familiar than the approved alternative.

The security risk is not the intention behind the choice. It is what happens to the data. 

Once business information moves into platforms that IT cannot see, audit, or secure, it falls outside every control in place. The tool usage is predictable. The data exposure is not.

Why Blocking Behavior Doesn’t Work

The instinct is to lock things down: block personal apps, restrict browsing, enforce strict device policies.

In practice, blanket restrictions rarely stop the behavior. They relocate it. Users find workarounds. Unapproved tools move to personal devices. IT teams lose visibility into exactly the activity they were trying to manage. 

The risk does not disappear. It moves somewhere harder to see.

Security strategies that assume perfect compliance perform poorly in real workplaces. The goal is not eliminating the overlap between personal and professional digital activity. It is managing it without breaking how people work.

What Actually Reduces Risk

The controls that work are the ones that match how people actually operate.

Separate contexts, not people

The simplest way to reduce crossover risk is to reduce crossover. 

Separate browser profiles for work and personal activity, clear guidance on where business accounts should be accessed, and identity boundaries that prevent accidental mixing all reduce exposure without restricting what people do with their time.

This is not about surveillance. It is about creating enough distance between personal and professional digital activity that a compromise in one does not automatically reach the other.

Design for credential failure

Assume passwords will eventually be exposed somewhere. Design for that outcome rather than hoping to prevent it.

CISA reports that enabling multi-factor authentication makes accounts 99% less likely to be compromised, even when the underlying password has already been stolen.

MFA converts the most common attack path into a dead end. 

Stolen credentials from a personal breach cannot reach a work account that requires a second factor. A password manager handles unique credentials across every account, making that protection sustainable without placing an unrealistic burden on users.

Make secure behavior easier than unsafe behavior

Personal web habits are not dangerous by default. Ignoring the risk they create is. The most secure environments today are not the most restrictive. They are the most realistic: built around how people actually work, designed to contain failure when it happens, and focused on making safer behavior the path of least resistance.

Helping clients reduce human-driven security risk is one of the most impactful services an MSP can offer. 

Contact us or schedule a consultation to review current controls and identify where the most important gaps are.

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Featured Image Credit

This Article has been Republished with Permission from The Technology Press.

It’s a statistic that sends a shiver down the backs of SME owners, managers and employees.  

According to the FBI’s 2025 Internet Crime Report, business email compromise (BEC) cost US businesses more than $3 billion last year.

This makes it one of the most financially damaging cybercrimes on record. 

AI has made these attacks harder to detect. The question for AP teams is no longer whether they can identify suspicious requests. It is whether the processes around payments make fraud difficult regardless of how convincing it looks.

Why AP Teams Are in the Crosshairs

Accounts payable sits at the intersection of trust and timing. AP teams process invoices, manage supplier details, and execute payments, often under pressure to keep operations running smoothly. 

For attackers, that combination is ideal.

Most successful fraud does not involve breaking into systems. 

The FBI’s Internet Crime Complaint Center (IC3)  has consistently found that BEC attacks rely on impersonation. This involves posing as a trusted executive, supplier, or internal colleague to redirect payments or update bank details before anyone notices.

AI has made that impersonation dramatically more scalable. 

Where it once required skill and time to craft a convincing request, tools are now widely available that automate the research, writing, and contextual tailoring that make fraud blend into normal AP workflows.

By mid-2024, an estimated 40% of BEC phishing emails were already AI-generated, with that share expected to grow significantly.

What AI-Enhanced Fraud Looks Like in Practice

Emails that blend into normal workflow

Traditional phishing relied on volume and imperfection. AI has changed that. 

Modern BEC emails are grammatically correct and written in the specific tone of the executive or supplier being impersonated. They reference active projects, current invoice numbers, and upcoming payment runs. 

For AP teams processing high volumes of routine communications, that level of familiarity is exactly what lowers the guard.

Invoice and payment redirection

One of the most common AP fraud patterns involves payment redirection. 

Attackers may intercept a legitimate invoice exchange and quietly alter the destination account. They then send a short message claiming a supplier has updated its banking details, or re-issue a real invoice with minor modifications. 

The surrounding content looks entirely legitimate because, in many cases, it is drawn from real correspondence. 

Voice cloning and executive impersonation

Email isn’t the only channel being exploited. 

AI voice-cloning tools can replicate a person’s voice from a short audio sample. That makes it possible to leave convincing voicemails or place calls that sound like a known executive.

For AP teams accustomed to verbal approvals on high-value or urgent payments, this removes one of the few remaining verification methods that email security alone cannot address. 

Why Traditional Checks No Longer Work

Security awareness training still matters, and investing in it remains worthwhile. But AI has changed what AP teams are up against.

 Attacks no longer contain the signals that training programs once focused on: awkward phrasing, mismatched logos, odd sender addresses, or generic greetings. 

Modern fraud emails can reference the recipient’s organization, active suppliers, and current invoice values drawn from publicly available or previously intercepted sources.

When a fraudulent request is indistinguishable from a legitimate one, placing the burden of detection on the AP team puts it in the wrong place. 

The organizations that reduce risk are not asking staff to be more suspicious. They are building verification processes that work independent of how a message looks.

Building Process Around the Risk

The most effective defense is not sharper instincts. It is removing ambiguity from high-risk actions.

Out-of-band verification as standard

Any request to change supplier bank details or approve an urgent payment outside the normal cycle should require secondary confirmation through a known, independent channel — not a reply to the same email thread. Calling a supplier on a number already on file, or confirming with a colleague directly, breaks the impersonation chain regardless of how convincing the original request appeared. This step does not require technology. It requires a written procedure and the team’s habit of following it.

Layered access and authentication controls

Restricting access to financial systems and enforcing multi-factor authentication limits the damage a compromised account can cause. If an attacker gains access to a vendor’s email, MFA requirements on the receiving end create friction that can slow or stop a fraudulent change before any money moves.

A culture that supports slowing down

Fraud prevention improves when staff feel safe questioning requests, including from senior leadership. 

A team member who pauses a payment to verify it is not being obstructive. They are doing exactly what good process requires. 

Building that culture starts with leadership modeling the behavior and making clear that slowing down on high-risk actions is always the right call.

The FBI’s 2025 Internet Crime Report included a dedicated AI section for the first time, logging more than $893 million in AI-enabled scam losses across more than 22,000 complaints.

When verification is standard and questioning is encouraged, AI-enhanced fraud loses much of its advantage. 

The technology attackers use is advancing quickly, but the process controls that contain the damage do not have to be complicated. They have to be consistent.

Shift the Burden From People to Process

Concerned about AI-enhanced fraud targeting your finance teams or clients? 

Contact us or schedule a consultation to review your current controls and identify where the most important gaps are.

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Featured Image Credit

This Article has been Republished with Permission from The Technology Press.

You click a link, sign in, approve the MFA prompt, and get on with your day. Completely unaware that someone else just logged into your account at the same moment.

That scenario surprises many businesses, particularly those that rely on multi-factor authentication (MFA) to protect cloud accounts. But this is exactly how Adversary-in-the-Middle (AiTM) phishing attacks work. 

Rather than stealing passwords for later use, these attacks silently hijack an already-authenticated session in real time.

MFA remains a core control, and getting it implemented correctly is still a critical first step for any business. 

But AiTM attacks exploit something MFA was never designed to protect: the trusted session that exists after authentication has already completed.

Phishing Has Moved Beyond Passwords

Phishing remains the most common starting point for account compromise, but the objective has changed. 

Traditional phishing collected usernames and passwords. Modern phishing is after something more immediately useful: the authenticated session itself.

Security researchers have documented a significant shift toward session and token theft, where attackers intercept the authentication process as it happens. 

Rather than reusing stolen credentials, which MFA typically blocks, they wait until the user successfully completes login, then steal the session token that proves it already occurred.

The technique has matured quickly. Phishing-as-a-Service (PhaaS) platforms now supply ready-made proxy toolkits that let even low-skilled attackers run AiTM campaigns targeting Microsoft 365 and Google Workspace. 

How AiTM Attacks Actually Work

The fake login page that isn’t fake

An AiTM phishing site is not a basic replica of a login page. It is a live reverse proxy.

The attacker’s infrastructure sits between the user and the real authentication service. Every keystroke, redirect, and server response flows through the attacker’s system in real time. From the user’s perspective, nothing looks wrong. 

The page behaves exactly like the real service, with correct branding, working redirects, and a functioning MFA prompt. In most cases, the only clue is a slightly altered URL that goes unnoticed on a mobile screen or when someone is under time pressure.

Why MFA doesn’t stop it

This is where many security assumptions fall apart.

MFA protects the moment of authentication, not what comes after it. 

Once a user successfully completes MFA, the service issues a session cookie. What this means is that the cookie signals to the application that the user is already verified. From that point, no password or MFA prompt is required. The system trusts the token. Whoever holds the cookie holds the access.

AiTM attacks simply wait for that cookie to be issued then steal it.

Microsoft tracked a 146% rise in AiTM attacks over the past year, as cybercriminals increasingly shift focus to accounts already protected by MFA.

Much of this increase is driven by PhaaS platforms like Evilginx that allow even low-skilled attackers to run convincing reverse-proxy campaigns at scale, targeting major cloud identity providers with minimal setup.

Session cookies

Session tokens act as bearer credentials. So, whoever possesses the token can access the account, with no password or MFA challenge required.

Once the cookie is stolen, the attacker imports it into their own browser and immediately resumes the session. 

This is a session replay attack. The attacker does not log in. They pick up where the legitimate user left off, inside a fully trusted, already-verified session.

What Happens After a Session Is Stolen

The aftermath of an AiTM attack tends to be quiet, which is precisely what makes it dangerous. 

The attacker is operating inside a legitimate, authenticated session. There are no failed MFA attempts, no unusual login alerts, and nothing in standard sign-in logs to signal a problem.

Research from Proofpoint shows that attackers who gain access through session hijacking commonly create hidden inbox rules to redirect mail, register additional MFA methods to lock in persistent access, monitor email threads for financial conversations, and use the trusted account to launch phishing campaigns against internal colleagues or finance teams.

These follow-on actions are a key reason AiTM attacks are frequently uncovered late, after financial fraud, data exposure, or wider network compromise has already begun.

Reducing Your Exposure

MFA is still essential. Building strong authentication practices remains the starting baseline. But reducing AiTM risk requires controls that extend beyond the login event itself.

Adopt phishing-resistant MFA

Methods like FIDO2 hardware keys and passkeys bind authentication to the specific device and the legitimate domain. A proxy in the middle cannot relay them: the process fails if the URL is not the real one. 

The Canadian Centre for Cyber Security analyzed over 100 AiTM campaigns targeting Microsoft Entra ID accounts. It found that phishing-resistant MFA consistently blocked session theft where standard MFA methods (including push notifications and one-time passcodes) did not.

Tighten Conditional Access policies

Risk-based access controls evaluate additional signals, including device compliance, IP location, and session behavior, rather than treating every authenticated session as permanently trusted. 

Configured correctly, these policies can detect and block anomalous access even when a stolen session token appears valid.

Monitor for post-login anomalies

Detecting AiTM compromise typically means watching for activity after login: new MFA method registrations, inbox rules created outside business hours, access from unfamiliar locations, or unusual data activity. 

Authentication logs alone will not surface the problem.

Train users on URL awareness

Employees who understand that a working MFA prompt on an unfamiliar-looking page still represents a risk are better positioned to pause, check the URL, and report before a session is compromised. A brief team walkthrough of what AiTM lures look like in Microsoft 365 contexts can meaningfully reduce exposure.

Stop Protecting Just the Login Screen

MFA is a baseline, not a finish line. The businesses that reduce AiTM risk are the ones that understand how sessions, tokens, and identity trust actually work . And they build controls around each layer, not just the login screen.

Want to review your identity security controls? 

Contact us or schedule a consultation to identify the gaps that matter most before an incident does it for you.

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Featured Image Credit

This Article has been Republished with Permission from The Technology Press.