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Phishing Training That Works: Evidence-Based Implementation
Written by
Brightside Team
Published on
Nov 4, 2025
You've probably heard the debates. Some security vendors claim their phishing training reduces click rates by 86%. Meanwhile, academic researchers publish studies showing training has basically no effect. So what's actually true?
The honest answer: it's complicated.
When organizations treat phishing training as a checkbox exercise with annual mandatory videos, rigorous academic research shows it doesn't work. But vendor data from organizations implementing continuous, adaptive programs shows dramatic results. The question is whether these differences stem from implementation quality or from methodological factors that make vendor data less reliable than controlled experiments.
This article synthesizes the contradictory research, examines the critical variables that might determine success or failure, and provides an actionable roadmap for organizations willing to commit to evidence-based implementation.
Let's start with some definitions so we're all on the same page:
Phishing simulations: Controlled exercises where you send realistic but harmless phishing emails to employees, testing their ability to spot threats
Click-through rate: The percentage of people who click links or download attachments in your simulations
Reporting rate: The percentage who proactively report suspicious emails to your security team (this matters more than click rates)
Point-of-error training: Educational content delivered immediately after someone clicks a simulation, when they're most receptive to learning
NIST Phish Scale: A standardized framework that rates how difficult phishing emails are to detect
Now let's dig into why the research seems so contradictory.
Why the Research Contradicts Itself
The gap between vendor success stories and academic skepticism reflects fundamental differences in what each group measures and how they measure it.
Vendors typically track the same group of employees over 6-12 months. They compare baseline performance to post-training outcomes. These studies capture everything that changes: the actual training effect, employees getting familiar with testing procedures, organizational culture shifts, and even regression to the mean as the most vulnerable people improve.
Academic researchers use controlled experiments. They compare trained groups to untrained control groups at specific points in time. A 2025 study of 12,511 employees at a financial company found no significant effect on click rates (p=0.450) or reporting rates (p=0.417). Another study of 19,500 healthcare workers showed conventional training yielded just 1.7% improvement over control groups.
These controlled designs isolate training effects from confounding variables. That methodological rigor is important. When you remove all other factors, the isolated training effect appears minimal or non-existent. This presents a serious challenge to the effectiveness claims.
The "implementation quality" hypothesis suggests that most training programs are poorly implemented, explaining why controlled studies find minimal effects. Organizations implementing best practices supposedly achieve the dramatic results vendors report. But there's a logical problem here: if implementation quality varies widely, why don't controlled academic studies observe any significant variation in outcomes? The 2025 study found negligible effect sizes across their entire sample.
Here's what we do know from research. Point-of-error training reduces susceptibility by 40% compared to generic training delivered separately from testing. That's a measurable difference. Training effects also decay over time, beginning to fade after four months and largely disappearing after six months without reinforcement.
The real question is whether continuous, well-designed programs can produce sustained behavioral change, or whether training primarily generates temporary awareness that fades regardless of implementation quality.
The Implementation Quality Hypothesis: What Might Make Training Work
Despite the skeptical academic findings, let's examine what practitioners and some research suggest could make training more effective. These factors represent testable hypotheses rather than proven solutions.
Continuous Reinforcement Over One-Time Compliance
Training that might work operates on a continuous cycle, not annual compliance mandates. Organizations reporting success deploy simulations every 2-4 weeks. This frequency attempts to balance regular practice against alert fatigue, where excessive testing makes employees dismiss everything as simulations.
The logic is straightforward. Phishing detection requires pattern recognition. Research shows that in successful attacks, credentials are entered at a median of 28 seconds, with 50% occurring within 21 seconds after opening the phishing email. This suggests employees respond impulsively during busy moments, before any deliberative thinking can intervene.
However, this rapid response time actually raises questions about whether training can help. If people respond within 21 seconds, they're not applying learned analytical frameworks. They're acting on reflex or habit. Whether training can build protective reflexes remains an open question.
Adaptive platforms adjust simulation frequency based on individual performance. Employees with strong detection skills get maintenance-level simulations. Those showing vulnerability receive more frequent targeted exercises. This personalizes your training, theoretically focusing resources where they generate maximum risk reduction.
Adaptive Difficulty That Matches Skill Progression
Treating all employees identically ignores the dramatic variation in baseline vulnerability. Research shows that new employees account for 25% of phishing failures despite being less than 10% of your workforce. Older employees and non-technical staff demonstrate higher susceptibility than younger, tech-savvy workers.
Practitioners recommend implementing progressive difficulty:
Start with moderate simulations most people can navigate with basic awareness
Gradually increase sophistication as detection capabilities improve
Use the NIST Phish Scale to categorize difficulty across nine levels
Adjust based on individual performance rather than applying uniform difficulty
The NIST Phish Scale provides standardized difficulty categorization based on observable email cues and premise alignment with recipient context. Research validation found highly significant effects of difficulty on click-through rates, with easy emails generating 7.0% click rates while hard emails produced 15.0% click rates.
This confirms that difficulty matters. What remains unclear is whether adaptive training produces better long-term outcomes than static approaches.
Positive Reinforcement and Behavioral Psychology
How you frame your simulation program affects employee engagement. Organizations positioning simulations as learning opportunities report higher engagement levels. When employees interact with simulated phishing content, immediate educational feedback should explain what indicators they missed and how to recognize similar threats.
Gamified approaches leveraging positive reinforcement include:
Interactive challenges with immediate feedback loops
Micro-rewards like badges and achievement streaks
Friendly competition through leaderboards
Progressive difficulty systems that acknowledge improvement
Organizations implementing gamification report voluntary participation rates exceeding traditional mandatory training programs. Whether this engagement translates to reduced real-world susceptibility hasn't been conclusively demonstrated in controlled studies.
Here's what definitely doesn't work: publicly shaming employees who click simulations. GoDaddy sent simulated phishing emails promising employee bonuses during the holiday season. The backlash was immediate and severe. Tribune Publishing conducted simulations around sensitive topics that employees found offensive.
These failures illustrate how punitive approaches erode trust. Once damaged, that trust becomes extremely difficult to rebuild.
Multi-Channel Coverage Beyond Email
Traditional phishing training focuses exclusively on email. This leaves your employees unprepared for multi-channel attacks that characterize modern threats. Comprehensive programs incorporate:
SMS-based simulations (smishing)
Voice phishing scenarios (vishing)
QR code testing (quishing)
Deepfake awareness as employees develop foundational skills
Research shows employees often display different vulnerability profiles across channels. Someone vigilant about email phishing might be more susceptible to SMS-based attacks or QR code deception.
The deepfake threat is particularly concerning. Audio deepfakes can clone voices from just 60 seconds of sample audio, enabling attackers to impersonate executives with alarming realism. Statistics indicate a 456% surge in AI scam reports and over 900% projected increase in deepfake attacks during 2025.
Multi-channel simulations test employees across all channels where threats arrive. Whether this multi-channel training reduces real-world compromise rates compared to email-only training hasn't been rigorously studied yet.
Integration with Technical Controls
Phishing simulations generate maximum value when integrated within comprehensive security strategies, not as isolated initiatives. Technical controls create defense-in-depth architectures where training addresses residual risk after technical safeguards eliminate most threats.
Government agencies including CISA, NSA, FBI, and MS-ISAC emphasize that phishing training represents just one component of comprehensive security. Their joint guidance recommends organizations prioritize:
Phishing-resistant multi-factor authentication
Email authentication protocols (DMARC, SPF, DKIM)
Application allowlisting
Network segmentation limiting attack surfaces
Expecting employees to reliably detect professionally crafted deception without technical safeguards represents an unrealistic standard. Technical controls that eliminate entire attack vectors (like phishing-resistant MFA preventing credential theft) provide more reliable protection than human vigilance.
Clear reporting procedures complete the defensive loop. Give employees simple methods to forward suspicious content to security teams for analysis. When security teams acknowledge and respond to reported threats, they reinforce vigilant behavior. However, if reporting increases dramatically (from 7% to 60% as some vendors claim), this creates operational burden. The article should note that security teams need capacity to handle this reporting volume, and organizations should track false positive rates to ensure employees aren't overreacting to legitimate communications.
Measuring What Actually Matters
Click-through rates provide only partial insight into training effectiveness. They don't explain why some employees fall for simulations while others remain vigilant. Organizations tracking success monitor multiple behavioral indicators:
Reporting rates measuring proactive threat identification
Time-to-report indicating response speed
Repeat offender rates identifying individuals needing additional support
False positive rates revealing overreaction to legitimate communications
Reporting rate might serve as a leading indicator of security culture maturity. Organizations with adaptive training programs report increases from approximately 7% to 60% after one year of continuous, behavior-focused training. However, this dramatic change appears in vendor data rather than controlled academic studies, so we should interpret it cautiously.
If reporting rates genuinely increase this dramatically, organizations need to consider the operational implications. Security teams must have capacity to triage and respond to the volume. False positive rates become critical. If 60% of employees report suspected phishing but only 10% are actual threats, that's substantial time investment in reviewing false alarms.
The distinction between knowledge and behavior change represents a critical measurement consideration. Employees might successfully complete training modules demonstrating they understand phishing indicators. Yet they fail to apply this knowledge when confronted with convincing threats during busy, distracted moments.
Effective measurement frameworks therefore prioritize behavioral outcomes (did employees avoid clicking and report threats?) over knowledge assessments (can employees identify phishing indicators in quizzes?).
ROI Calculation and Its Limitations
Organizations allocating resources to phishing simulation programs require evidence of financial justification. However, ROI claims warrant careful scrutiny.
Industry sources often cite that organizations with strong security awareness training experience reduced breach costs. For example, some analyses suggest organizations with comprehensive programs reduce breach-related costs compared to those without. Average data breach costs attributable to phishing reached $4.88 million per incident. Business Email Compromise (BEC) attacks alone caused $50.5 billion in losses over the past decade.
Here's the critical caveat: these are correlational findings, not causal evidence. Organizations with "strong security awareness training" likely differ from those without in multiple ways:
Higher overall security budgets
More mature security programs
Better technical controls
Greater leadership commitment to security
More skilled security teams
We cannot confidently attribute cost reductions solely to awareness training without controlling for these confounding variables. Organizations investing heavily in awareness training probably also invest in better email filtering, MFA, and other controls. The cost savings might come primarily from those technical controls rather than the training.
General ROI estimates suggest returns on security awareness spending, but these should be viewed as upper bounds that likely overstate training's isolated contribution. For companies with 500 employees spending $100-200 per employee annually ($50,000-100,000 total), the calculation depends heavily on assumptions about what training actually prevents.
Research from Osterman indicates organizational size influences ROI calculations:
Smaller organizations (50-999 employees): average ROI of 69%
Larger organizations (1,000+ employees): average ROI of 562%
These figures reflect economies of scale and should be understood as including all security awareness activities, not just phishing simulations in isolation.
Top 5 Security Training Tools That Simulate Real Phishing Attempts
The training platform you select affects program implementation, though the evidence for platform-specific effectiveness remains limited. With the average data breach costing $4.88 million and phishing remaining the entry point for 91% of cyberattacks, security awareness represents one component of a comprehensive defensive strategy.
Brightside AI
Unique Approach: OSINT-powered personalization creates simulations tailored to each employee's actual digital exposure.
Brightside AI scans employees' digital footprints across six categories: personal information, data leaks, online services, personal interests, social connections, and locations. This intelligence informs simulation design, enabling AI-generated spear-phishing scenarios using real OSINT data. An employee with an exposed work email on LinkedIn, compromised passwords in data breaches, and publicly visible home address receives simulations leveraging these specific vulnerabilities.
Key capabilities:
Multi-channel simulation coverage including email, deepfakes, and voice phishing scenarios
Gamified learning experience through Brighty, an interactive privacy companion with achievement badges and chat-based instruction
Vulnerability scoring showing risk levels based on digital footprint size, course completion, and simulation results
Admin controls enabling targeted deployment to high-risk groups (HR, finance teams, employees with concerning digital footprints)
Considerations: As an emerging platform, Brightside's multi-channel capabilities (particularly voice and deepfake simulations) represent newer offerings. Organizations should verify current feature maturity and availability during evaluation. Privacy-first design maintains trust by showing admins aggregate metrics rather than employees' personal exposed data.
Start your free risk assessment
Our OSINT engine will reveal what adversaries can discover and leverage for phishing attacks.
KnowBe4
Unique Approach: Market-leading platform with extensive content library and industry benchmarking
Key capabilities:
Thousands of training modules and pre-built phishing templates organized by attack type, industry, and difficulty
Comprehensive reporting dashboards with individual and group-level performance tracking
Industry benchmark comparisons enabling organizations to assess relative performance
Considerations: Organizations report susceptibility declining from 34.3% to 4.6% after one year—an 86% reduction. However, these are vendor-reported longitudinal improvements rather than controlled study results. Opaque tiered pricing and paywalled features at higher tiers may affect budget planning. The platform emphasizes email-based training with limited coverage of emerging threats like deepfakes or sophisticated voice attacks.
Proofpoint Security
Unique Approach: Threat intelligence integration from Proofpoint's email security infrastructure
Key capabilities:
Training content correlated with real-world threat data ensuring simulations reflect current attack techniques
Contextual Learning Model incorporating integrated learning (40%), scenario-based engagement (30%), interactive platforms (20%), and reflective practice (10%)
PhishAlarm email reporting buttons enabling one-click threat reporting
Considerations: The comprehensive feature set creates complexity potentially overwhelming smaller organizations. Strong integration with Proofpoint's email security products benefits existing customers but may be less valuable for organizations using alternative email security solutions. Limited multi-channel threat coverage.
Hoxhunt
Unique Approach: Adaptive, behavior-focused training with automatic difficulty and frequency adjustment
Key capabilities:
Algorithm-driven personalization increasing difficulty as detection capabilities improve
Positive reinforcement through gamification with points, badges, and friendly competition
Continuous training model with simulations every 2-4 weeks
Considerations: Vendor data shows reporting rates increasing from 7% to 60% after one year and 64% of employees reporting at least one real threat within first year. These vendor-reported metrics haven't been independently validated in controlled studies. Organizations requiring extensive compliance reporting or deep enterprise security integration may find the streamlined approach less comprehensive than KnowBe4 or Proofpoint.
SoSafe
Unique Approach: European-focused platform emphasizing psychological engagement and GDPR compliance
Key capabilities:
Content library covering contemporary threats including AI-powered phishing and deepfakes
Behavioral pattern reporting over time identifying repeat offenders and security champions
Best practices guidance for ethical simulation implementation
Considerations: Strong data privacy and GDPR compliance makes it particularly suitable for European organizations navigating complex regulatory requirements. Organizations seeking cutting-edge multi-channel simulations may find feature coverage less comprehensive than platforms specifically designed for emerging threat vectors.
Feature | Brightside AI | KnowBe4 | Proofpoint | Hoxhunt | SoSafe |
|---|---|---|---|---|---|
Courses | Gamified with Brighty companion, badges, mini-games | Extensive library (1,000+ modules), limited gamification | Contextual learning modules, interactive elements | Gamified with points, badges, leaderboards | Gamified content, psychological engagement focus |
Email Simulations | AI-generated using OSINT data + templates | Templates (1,000+), custom creation | Templates with threat intelligence integration | Adaptive templates, behavior-based | Templates, customizable scenarios |
Deepfake Simulations | ✓ Audio & video deepfakes | ✗ Not available | ✗ Not available | ✗ Not available | ✓ Deepfake awareness content |
Voice Phishing (Vishing) | ✓ AI-powered phone calls | ✗ Limited coverage | ✗ Not standard | ✗ Not standard | ✗ Limited coverage |
Vulnerability Scoring | ✓ Based on digital footprint + performance | ✓ Performance-based scoring | ✓ Risk assessment tools | ✓ Adaptive risk scoring | ✓ Behavioral pattern analysis |
OSINT Digital Footprint Scanning | ✓ Scans 6 categories of digital exposure | ✗ Not available | ✗ Not available | ✗ Not available | ✗ Not available |
Best For | Organizations wanting personalized, multi-channel training | Large enterprises needing extensive content | Organizations with Proofpoint email security | Companies prioritizing behavioral change | European organizations, GDPR compliance |
Building Your Program: A Practical Roadmap
Implementation guidance based on practitioner experience and available research.
Phase 1: Establish Baseline and Set Realistic Goals (Months 1-2)
Start with clear objective definition beyond simple compliance. Conduct baseline vulnerability assessments using moderate-difficulty simulations that reveal actual susceptibility without overwhelming employees.
Set realistic goals. Research confirms that sophisticated spear-phishing attacks generate 15% click rates even among trained populations. Expecting zero susceptibility creates unrealistic standards. Technical controls that eliminate attack vectors provide more reliable protection than expecting perfect human performance.
Phase 2: Launch Continuous Training With Positive Framing (Months 3-6)
Communicate your program launch emphasizing skill-building and organizational resilience, not identifying "bad employees." Transparent messaging builds psychological safety enabling genuine engagement.
Your communication should explain:
Everyone receives simulations (not just people who've made mistakes)
Security teams want to help employees succeed
Clicking a simulation triggers learning opportunities, not punishment
Reporting suspicious emails makes employees security heroes
Initial simulations should target moderate difficulty that most employees can successfully navigate. Immediate point-of-error training delivered when employees interact with simulations provides contextual education, generating 40% better outcomes than generic training delivered separately from testing.
Phase 3: Scale to Multi-Channel and Advanced Threats (Months 7-12)
As email phishing detection capabilities mature, progressively introduce multi-channel simulations:
SMS-based scenarios testing mobile device vigilance
Voice phishing exercises preparing employees for social engineering phone calls
QR code simulations addressing this emerging threat vector
Deepfake awareness preparing teams for sophisticated impersonation
This progression ensures employees face threats matching their improved capabilities while avoiding overwhelming challenges before skills develop.
Phase 4: Continuous Improvement and Culture Integration (Ongoing)
Monitor multiple metrics:
Reporting rates and time-to-report
Repeat offender identification
False positive rates
Behavioral change indicators
Track false positive rates carefully. If reporting increases dramatically, ensure security teams have capacity to handle volume and employees aren't overreacting to legitimate communications.
Organizations achieving sustainable risk reduction integrate security awareness into broader organizational culture through leadership participation, security champions programs, communication about real threats, and recognition for employees who report actual phishing attempts.
Common Implementation Pitfalls to Avoid
Treating Training as Annual Compliance Exercise
Organizations conducting mandatory annual training sessions followed by no reinforcement for 12 months experience skill decay. Training effects begin fading after four months and largely disappear after six months without reinforcement.
This approach generates temporary awareness spikes that evaporate before employees encounter real threats, explaining why compliance-focused programs show minimal effectiveness in controlled studies.
Starting With Overly Sophisticated Simulations
Deploying advanced spear-phishing scenarios with minimal detectable indicators as initial simulations demoralizes employees. They conclude they can't reliably identify threats, leading to resignation and disengagement.
Progressive difficulty beginning with moderate scenarios builds confidence before introducing sophisticated challenges.
Punitive Approaches Eroding Trust
Publicly shaming employees who click simulations, threatening consequences, or conducting simulations around sensitive topics damages trust. The GoDaddy and Tribune Publishing cases demonstrate that once trust erodes through perceived manipulation, rebuilding collaborative security culture becomes extremely difficult.
Positive framing emphasizing learning over punishment maintains organizational trust.
Ignoring Multi-Channel Threats
Limiting simulations to email phishing leaves employees unprepared for SMS attacks, voice phishing, QR code deception, and deepfake impersonation. As cybercriminals increasingly leverage multiple communication channels, training focused exclusively on email creates blind spots.
Failing to Integrate Technical Controls
Expecting employees to serve as the primary defensive layer without implementing complementary technical controls represents unrealistic security architecture. Organizations should prioritize:
Phishing-resistant multi-factor authentication eliminating credential theft impact
Email authentication protocols (DMARC, SPF, DKIM) blocking domain spoofing
Application allowlisting preventing malware execution
Network segmentation limiting lateral movement
Training addresses residual risk after technical controls eliminate most threats. It shouldn't serve as the sole defense mechanism.
FAQs About Phishing Training Effectiveness
What's the goal of implementing phishing simulations beyond compliance requirements?
The primary goal extends beyond satisfying compliance checkboxes to changing employee behavior and building organizational security culture. While regulatory frameworks increasingly mandate security awareness training, the genuine objective is creating a workforce that recognizes and reports threats before they cause harm.
Practitioner experience suggests behavioral change programs achieve different outcomes than compliance exercises, though controlled academic research hasn't consistently validated these claims. The goal is building resilience where security awareness becomes embedded in organizational culture rather than a periodic training obligation.
Effective programs measure success through behavioral indicators including response speed, sustained improvement over time, and whether the organization experiences fewer successful real-world attacks. However, attributing reductions in successful attacks specifically to training (versus technical controls, improved detection, or other factors) remains methodologically challenging.
How often should organizations conduct phishing simulations to maintain effectiveness?
Practitioner guidance consistently recommends simulations every 2-4 weeks to maintain effectiveness without overwhelming employees or creating desensitization. This frequency attempts to balance regular practice against alert fatigue.
Organizations conducting simulations too infrequently experience skill decay. Training effects begin fading after four months and largely disappear after six months without reinforcement.
The optimal frequency varies based on organizational context, industry threat level, and workforce sophistication. High-risk industries facing sophisticated targeted attacks may benefit from more frequent simulations.
Monitor engagement metrics and employee feedback to identify simulation fatigue including declining reporting rates, increasing complaints about training frequency, or cynical dismissal of unusual emails. These indicators suggest the need to vary timing, reduce frequency, or enhance scenario diversity.
What happens if phishing training shows no improvement after six months?
Organizations experiencing no improvement after six months should systematically assess implementation quality across five dimensions.
First, examine simulation frequency. Programs conducting only one or two campaigns over six months provide insufficient reinforcement. Second, evaluate whether simulations incorporate progressive difficulty or remain static. Third, assess whether immediate point-of-error training delivers educational content when employees interact with simulations, as contextual learning generates 40% better outcomes.
Fourth, analyze whether the program emphasizes positive reinforcement or employs punitive approaches that create disengagement. Organizations publicly shaming employees paradoxically reduce vigilance by damaging trust. Fifth, determine whether training addresses actual threats employees face or relies on generic scenarios.
However, it's important to acknowledge that even with high-quality implementation, controlled academic research suggests isolated training effects may be minimal. If well-designed programs show limited improvement, this may indicate:
Training has inherent limitations in changing rapid, reflexive behavior
Technical controls provide more reliable protection
The specific threat landscape or employee population presents unique challenges
In such cases, organizations should prioritize complementary technical controls like phishing-resistant MFA and advanced email filtering rather than assuming more training will eventually work.
How does phishing training improve organizational security culture beyond individual awareness?
Effective phishing training programs can catalyze broader security culture transformation that extends beyond individual employee awareness. When implemented with positive framing emphasizing shared responsibility rather than blame, training initiatives may create psychological safety where employees feel comfortable reporting mistakes, admitting uncertainty, and asking questions without fear of reprisal.
This cultural shift matters because security effectiveness depends on transparent communication. Employees must feel safe reporting that they clicked a suspicious link rather than hiding mistakes that allow threats to propagate undetected.
Programs incorporating gamification, recognition systems, and security champion initiatives leverage social dynamics to normalize security-conscious behaviors. When employees see colleagues earning recognition for threat reporting or participating in security competitions, these examples might create social proof that security engagement represents valued contribution.
The cumulative cultural impact might manifest through increased reporting of real threats, proactive security conversations, reduced stigma around security mistakes enabling faster incident response, and organic peer education. Organizations achieving this cultural transformation potentially reduce not only phishing susceptibility but build resilience against broader security challenges.
However, it's worth noting that these cultural benefits, while valuable, haven't been rigorously measured in controlled studies that isolate training effects from other cultural interventions.
The Bottom Line
The contradiction between research showing minimal phishing training effectiveness and vendor claims of dramatic improvements reflects methodological differences, potential publication bias, and uncertainty about whether implementation quality can overcome fundamental limitations.
Academic controlled studies, which isolate training effects from confounding variables, consistently show minimal or no significant effects. This presents a serious challenge to effectiveness claims. Vendor longitudinal studies show dramatic improvements, but these measure multiple changing variables simultaneously and lack the control groups that enable causal inference.
Organizations committed to implementing phishing training should:
Acknowledge uncertainty about effectiveness while implementing evidence-based practices
Prioritize technical controls (phishing-resistant MFA, email authentication, filtering) that provide reliable protection independent of human behavior
Implement continuous training (every 2-4 weeks) if choosing to deploy simulations
Use adaptive difficulty that adjusts to individual performance
Deploy positive reinforcement through gamification and recognition
Track behavioral metrics including reporting rates, false positives, and time-to-report
Set realistic expectations that even well-trained employees will occasionally fall for sophisticated attacks
Organizations following this approach should monitor outcomes objectively. If behavioral improvements don't materialize within 3-4 months of high-quality implementation, this may indicate training has limited effectiveness in your specific context. In such cases, redirecting resources toward technical controls that eliminate attack vectors may generate better risk reduction per dollar invested.
The ROI calculation depends heavily on assumptions. If training genuinely prevents breaches, the return is substantial given average breach costs of $4.88 million. However, we cannot confidently attribute breach prevention solely to awareness training without controlling for technical controls, security team capabilities, and other confounding factors.
The question isn't whether phishing training definitely works. It's whether you're willing to implement continuous, adaptive, behaviorally-grounded programs while maintaining realistic expectations about what training can achieve and simultaneously investing in technical controls that provide more reliable protection.
Interested in exploring phishing simulation platforms? Contact Brightside AI to learn about their OSINT-powered personalization approach, or request demos from multiple vendors to compare features, pricing, and implementation requirements for your specific organizational context.




