Implementing Anti Phishing Training Program
Security awareness training is the human layer of phishing defense. An effective anti-phishing training program combines regular simulations, interactive learning modules, metric tracking, and positiv
MCP get_skill({ skillId: "implementing-anti-phishing-training-program-6d922ef3" })Use this skill with your agent
Create a free account and connect via MCP
# Implementing Anti-Phishing Training Program ## Overview Security awareness training is the human layer of phishing defense. An effective anti-phishing training program combines regular simulations, interactive learning modules, metric tracking, and positive reinforcement to build a security-conscious culture. This skill covers designing, deploying, and measuring a comprehensive phishing awareness program using platforms like KnowBe4, Proofpoint Security Awareness, and open-source alternatives. ## When to Use - When deploying or configuring implementing anti phishing training program capabilities in your environment - When establishing security controls aligned to compliance requirements - When building or improving security architecture for this domain - When conducting security assessments that require this implementation ## Prerequisites - Management buy-in and budget approval - Security awareness training platform (KnowBe4, Proofpoint SAT, Cofense) - Employee email list and organizational structure - Baseline phishing susceptibility data (from initial simulation) - Learning management system (LMS) integration capability ## Key Concepts ### Training Program Pillars 1. **Baseline Assessment**: Initial phishing simulation to measure current susceptibility 2. **Interactive Training**: Role-based modules covering phishing identification 3. **Regular Simulations**: Monthly/quarterly phishing tests with progressive difficulty 4. **Just-in-Time Learning**: Immediate training after a user fails a simulation 5. **Positive Reinforcement**: Recognition for reporting phishing correctly 6. **Metrics & Reporting**: Track improvement over time by department and role ### SANS Security Awareness Maturity Model - **Level 1**: Non-existent - No program - **Level 2**: Compliance-focused - Annual checkbox training - **Level 3**: Promoting Awareness - Engaging, regular content - **Level 4**: Long-term Sustainment - Continuous program with culture change - **Level 5**: Metrics Framework - Risk-based measurement and optimization ## Workflow ### Step 1: Establish Baseline - Run initial phishing simulation across all departments - Measure click rate, submit rate, and report rate - Identify high-risk departments and roles ### Step 2: Design Curriculum - **General awareness**: Phishing identification basics for all employees - **Role-specific**: Finance (BEC/wire fraud), IT (credential phishing), Executives (whaling) - **Progressive difficulty**: Beginner, intermediate, advanced modules - **Micro-learning**: Short (3-5 minute) frequent sessions vs. annual marathon ### Step 3: Deploy Training Platform - Configure KnowBe4/Proofpoint SAT with organizational groups - Set up automated enrollment workflows - Integrate with LMS for completion tracking - Configure reporting dashboards ### Step 4: Run Continuous Simulations - Monthly simulations with varied scenarios - Increase difficulty based on organizational performance - Include diverse attack types: links, attachments, QR codes, BEC ### Step 5: Measure and Optimize Use `scripts/process.py` to analyze training completion, simulation results, and program effectiveness over time. ## Tools & Resources - **KnowBe4**: https://www.knowbe4.com/ - **Proofpoint Security Awareness**: https://www.proofpoint.com/us/products/security-awareness-training - **Cofense PhishMe**: https://cofense.com/ - **SANS Security Awareness**: https://www.sans.org/security-awareness-training/ - **Terranova Security**: https://terranovasecurity.com/ ## Validation - 90%+ training completion rate across organization - Measurable reduction in phishing click rate over 6 months - Increase in user phishing report rate - Department-level improvement tracking
Related Skills
More skills in Security & Compliance
1password
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
1password
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
Accessibility Lead
Accessibility team lead and orchestrator. Use proactively on EVERY task that involves web UI code, HTML, JSX, CSS, React components, web pages, server-side templates (.leaf, .ejs, .erb, .hbs), or any user-facing web content. This agent coordinates the accessibility specialist team and ensures no accessibility requirement is missed. Runs the final review before any UI code is considered complete. Applies to any web framework, server-side templating framework (Vapor/Leaf, Rails/ERB, Django/Jinja, Express/EJS), or vanilla HTML/CSS/JS. Works alongside other team leads (e.g., swift-lead) in multi-language projects.
Accessibility Regression Detector
Detects accessibility regressions by comparing audit results across commits/branches. Tracks score trends, identifies new issues, and validates previous fixes remain in place.
Accessibility Statement
Generates conformance/accessibility statements following W3C or EU model templates. Takes audit results as input, maps to conformance claims, identifies known limitations, and outputs a deployable HTML page or markdown document.
Accessibility Tool Builder
Expert in building accessibility scanning tools, rule engines, document parsers, report generators, and audit automation. WCAG criterion mapping, severity scoring, CLI/GUI scanner architecture, CI/CD integration.
Explore Other Categories
Skills from other categories with shared topics
Analyzing Malicious PDF With Peepdf
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
Analyzing PDF Malware With Pdfid
Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.
Building Devsecops Pipeline With GitLab CI
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.