Stop Managing Training. Start Preventing Breaches.
Traditional training is a 'full-time job' that fails to change behavior. PhishFirewall is an autonomous AI agent that handles everything—zero campaign management, zero admin stress, and sub-1% click rates.
Autonomous Management
Lora handles everything. You save 10+ hours/week.
Hyper-Personalized
Simulations adapted to each user's role and behavior.
Guaranteed Results
Sub-1% click rate or we work for free.
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"We used to spend hours managing KnowBe4. With Lora, I spend maybe 15 minutes a month checking reports. It's a game changer."
Trusted by Over
2 Million Users
The Challenges of Traditional Training
The "90-Minute" Drain
Admins spend an hour to 90 minutes a day managing campaigns. It's a waste of high-value security talent on low-value admin work.
Punitive & Generic
"One-size-fits-all" campaigns frustrate users. Punitive training breeds resentment, not vigilance. We build resilience, not anger.
Adaptive Learning Schedule
AI adjusts frequency based on user risk profile
Alex Chen
Sales Director
Susceptibilities
The Science of Behavior Change
"Behavior happens when Motivation, Ability, and a Prompt come together at the same time. When a behavior does not occur, at least one of those three elements is missing."— Dr. BJ Fogg, PhD, Founder of the Behavior Design Lab at Stanford University
The Science of B=MAP
Understanding the behavioral model
The Science of B=MAP
Understanding the behavioral model
Listen to a quick overview of how B=MAP changes security behavior.
Why Traditional Security Awareness Programs Fail
Failure of Prompting (P is Missing)
Traditional programs rely on one-time or quarterly training, which provides a single prompt. Training effects fade after four months, meaning the prompt is absent when vulnerability is high.
Failure of Ability (A is Too Low)
Requiring users to log into a learning management system (LMS) adds friction, acting as a roadblock to learning. People naturally resist complex tasks.
Failure of Core Learning
Academic research shows traditional training doesn't significantly improve behavior. Relying on "more knowledge" fails; change happens in short, high-frequency windows designed to influence instinct.
The Solution: B=MAP Applied
Ability (For Admins): Zero Management
Lora is an autonomous agent you hire, not a tool you manage. She handles scheduling, follow-ups, and reporting automatically.
Prompt: Hyper-Personalized
Lora learns each user's specific weaknesses (e.g., social media vs. financial lures) and adapts simulations to close those gaps.
Ability (For Users): Zero Friction
We deliver bite-sized content (<60 seconds) directly to the inbox. No logins required. It's "TikTok style" learning that respects time.
Motivation: Positive Reinforcement
Lora praises users for doing it right. Our interactions are 97% positive, creating a culture of "Cyber Rock Stars."
"We used to spend 10 hours a week managing KnowBe4. With Lora, I spend maybe 15 minutes a month checking reports. It's a game changer."
AI AGENT: LORA ACTIVE
Our Scientific Playbook
"Learning is filtered through culture."— Dr. Albert Bangura
| Scientific Principle | Source (Where Applied) | Behavioral Mechanism |
|---|---|---|
| B=MAP (Fogg Behavior Model) | Core platform architecture | Ensures Motivation, Ability, and a timely Prompt converge for action. |
| Spaced Learning Theory | Continuous education (<60s) | Breaks complex topics into bite-sized chunks delivered at high frequency for better retention. |
| Identical Elements Theory | Cross-medium training | Learning key triggers (e.g., authority bias) on one platform makes users secure on others. |
| Forgetting Curve Theory | AI-driven frequency | The AI monitors behavior to predict relapse and proactively intervenes with training. |
| Psychological Safety | Positive reinforcement | Focuses on praising users (97% positive) rather than punishment to encourage vigilance. |
| Experimental Learning Cycle | Gamified simulations | Users learn best through hands-on exercises, making the simulated mistake a learning opportunity. |
| Cognitive Load Theory | Micro-content (<60s) | Ensures content is small so the brain doesn't expend excess energy, avoiding 'checking out'. |
| Role-Based Training | Automated customization | Tailors threats and education to the individual's job function, making it 15x more effective. |
| Situated Learning Theory | Just-in-Time Remediation | Delivers education at the moment the mistake is realized, hijacking the emotional response. |
| Transfer of Learning | Focus on Core Biases | Training focuses on core tactics like authority and urgency, ensuring lessons apply anywhere. |
| Social Learning Theory | Social Proofing | Uses reports from coworkers to make the risk real and encourage peer vigilance. |
| Dual Coding Theory | Tick-Tock Style Videos | Uses engaging visual and auditory elements simultaneously, aiding retention. |
| Zone of Proximal Development | Hyper-Personalization | AI learns user susceptibility and focuses training on specific weaknesses until proficiency. |
| Synaptic Plasticity | Continuous Feedback | High-frequency, non-punitive training forms new neural pathways and views security as a skill. |
Always Ahead of the Threat
Our content library is updated weekly to address the latest threats. From AI-generated deepfakes to industry-specific compliance, we've got you covered.
Comparative Analysis
Born from the Red Team
"For two decades, my team and I would tailgate into Fortune 500 companies with just two cups of coffee. We did it to the same unsuspecting employee four years in a row. That's when I knew: traditional training wasn't just broken; it was non-existent."
Sub-1% Phish Click Rate
We guarantee you'll achieve a sub-1% phish click rate within the first 12 months, or we'll work with you for free until you do.
Read the Guarantee →90-Day Satisfaction
If you're not completely satisfied within the first 90 days, we'll refund your entire subscription. No questions asked.
Read the Guarantee →Ready to End the Busywork?
See how Lora can save you time, reduce risk, and build a resilient security culture.