Key Takeaways
Phishing keeps working because it targets people, not just systems, and MSPs feel that risk most since they're protecting many clients at once. This guide covers eight practical steps for stopping phishing before it starts, from email security and employee training to simulations, reporting, and incident response.
These recommendations come from what we see across MSP environments every day; the emails end users click in simulations, the ones they report, and the patterns that show up once you're looking at data from hundreds of tenants at once.
Phishing relies on social engineering, persuading someone to act against their own interest. Cybercriminals behind a phishing campaign usually want one of a few things: stolen credentials, redirected payments, sensitive information, or account access. Urgency, authority, impersonation, and familiar branding all serve the same purpose: short-circuiting careful thinking.
Not every phishing attempt looks the same, and businesses need to recognize the full range of phishing tactics in play, not just the classic email scam.
Generative AI has raised the stakes further. Phishing scammers can now produce polished, personalized phishing emails at a scale that used to take far more manual effort, making phishing scams harder to spot at a glance.
Reducing phishing risk starts with two connected layers: filtering messages before they reach an inbox, and protecting the accounts attackers are ultimately after. Together, these controls form the backbone of email security and limit what a stolen credential can actually do.
Spam and phishing filters, URL protection, and attachment scanning work together to catch fraudulent emails and malicious links before an employee ever interacts with them. Layering in dedicated anti-phishing software or anti-phishing tools adds another detection pass beyond what's built into email platforms, while antivirus software on individual devices catches malicious files that make it past filtering.
Underneath these controls, SPF, DKIM, and DMARC authentication reduce domain spoofing by verifying that a message actually came from the sender it claims. This layer is frequently under-configured in Microsoft 365, Google Workspace, and similar platforms, which makes it worth a closer look even in environments that already have basic filtering in place.
No filter catches everything, so protecting online accounts has to carry the rest of the load. MFA limits account takeover when passwords are compromised, cutting off an attacker's most direct path to sensitive systems and reducing the risk of identity theft that often follows a stolen credential. Conditional access adds another layer by restricting access based on user, device, location, or risk signals, so a login attempt from an unfamiliar location or device can be blocked or challenged automatically.
Matching these settings to each organization's actual risk profile, rather than leaving defaults in place, makes a real difference in how much protection this layer actually provides.
Technical controls stop most phishing attempts, but some will always reach a real person. Employees who know what to look for close that gap far more reliably than training that only covers theory, especially since phishing sites and cloned login pages are often built to look identical to the real thing.
Training works best when it reflects current phishing techniques instead of repeating the same annual slideshow year after year.
Training tells you what employees were taught. Simulations tell you what they'll actually do under pressure, which is why tracking the right metrics matters as much as running the exercises themselves. Building scenarios around real phishing campaigns spotted in the wild keeps the exercises relevant to what employees are actually likely to encounter.
Use this data to target follow-up training toward the departments, users, or clients showing the most risk instead of handing everyone the same generic refresher.
Every unreported phishing email is a missed data point. A one-click "report phishing" button removes the friction of manually forwarding a suspicious message. It also means employees don't have to personally decide whether something is definitely malicious before flagging it. Uncertainty alone should be enough to report something, not a reason to stay quiet about it.
None of this works unless the culture supports it. Employees need to feel safe reporting an accidental click or a credential entered on a fake website without fear of blame. Punishing honesty just teaches people to hide their mistakes, and that delays your team's ability to respond to an actual phishing attack.
Once reports start coming in, someone has to sort real phishing attacks from spam emails and false alarms. A consistent review process turns that pile of reports into a manageable queue instead of a bottleneck.
Giving L1 technicians enough context to work through routine cases themselves keeps every uncertain email from landing on a senior engineer's desk, and tools like Phinbox IQ consolidate this information in one place to speed up the process.
Even strong defenses won't stop every phishing attempt, so response speed matters as much as prevention. The moment a compromise is confirmed, a few actions determine how far it spreads.
Documenting what happened, along with which specific control failed, does more for future prevention than restating general best practices.
Consistency is what makes phishing prevention sustainable across many clients at once. A baseline checklist gives every client a solid floor to start from before adjustments for industry, regulatory requirements, or risk come into play.
Email authentication through SPF, DKIM, and DMARC belongs in that baseline, along with MFA for important accounts and applications. Continuous security awareness training and regular phishing simulations test whether users actually apply what they've learned, rather than assuming a single onboarding session covers it.
Easy phishing reporting, clear triage procedures for MSP technicians, and defined incident escalation steps round out the floor, so every client starts from the same minimum standard regardless of size or industry.
Automation is what keeps that baseline manageable at scale. User synchronization, simulation scheduling, onboarding, and recurring reporting shouldn't require tenant-by-tenant manual work from your team. Monitoring results at the client level then shows where a targeted intervention is needed, instead of reapplying the same broad guidance everywhere.
Phishing prevention isn't one control. It's a lifecycle. Preventing malicious messages and protecting accounts comes first, followed by educating users, testing their behavior, making reporting effortless, triaging what comes in, and responding decisively when something gets through. MSPs get the most value by connecting these layers instead of treating any single one as sufficient on its own.
Phin supports several parts of that lifecycle directly. Security awareness training and phishing simulations handle ongoing education and behavior measurement, while Report Phishing paired with Phinbox IQ covers user reporting and fast post-report analysis.
Ready to put these steps into action? Download The Ultimate Phishing Prevention & Response Checklist for a practical, step-by-step resource covering how to prepare your users, protect your systems, and respond when a phishing attack gets through.
Combining preventive technology, employee education, behavioral testing through simulations, easy reporting, and a solid incident response plan works best. No single control covers every stage of an attack on its own.
Ongoing training throughout the year beats a single annual session every time. Frequency should scale with user risk and simulation results instead of sitting on a fixed calendar.
Reporting it immediately and following the organization's response process is the right move. Trying to fix or investigate it personally usually wastes valuable time.
MFA cuts the risk of account takeover after a password is stolen, but it doesn't stop phishing messages from reaching users, and it won't eliminate every credential-based attack.
Tracking simulation performance, reporting behavior, repeat failures, investigation time, and escalation rates across clients shows whether the program is actually working.