Description

This curriculum spans the design and operation of enterprise phishing defenses at the scale and complexity of a multi-phase security transformation, integrating technical controls, behavioral analysis, and organizational processes across IT, security, and human resources.

Module 1: Threat Landscape and Adversary Behavior Analysis

Conduct threat actor profiling to differentiate between financially motivated attackers and state-sponsored groups based on historical campaign patterns.
Map known phishing TTPs (Tactics, Techniques, and Procedures) from MITRE ATT&CK to internal incident data for relevance scoring.
Evaluate the use of dark web monitoring services to identify pre-breach indicators such as leaked employee credentials or targeted domain impersonation.
Assess the risk of supply chain compromise by analyzing third-party vendor communication channels for phishing susceptibility.
Integrate threat intelligence feeds with email security platforms to prioritize IOCs (Indicators of Compromise) by geographic and industry targeting.
Determine thresholds for escalating anomalous email patterns from noise to confirmed threat based on behavioral baselines.

Module 2: Email Security Architecture and Defense-in-Depth

Configure DMARC, DKIM, and SPF policies with enforcement modes (quarantine/reject) while managing impact on legitimate third-party senders.
Implement email gateway sandboxing with dynamic analysis to detect zero-minute phishing payloads evading static signatures.
Design secure email relay policies that balance external collaboration needs with attachment filtering and URL rewriting.
Deploy API-based email security controls to protect cloud-hosted environments where traditional gateway inspection fails.
Segment email traffic flows to isolate high-risk departments (e.g., finance, executive support) for enhanced scrutiny.
Integrate email security logs with SIEM using standardized formats (e.g., CEF) to enable correlation with endpoint and network events.

Module 3: User Risk Profiling and Target Prioritization

Rank employees by attack surface using attributes such as public visibility, system privileges, and access to sensitive data.
Map organizational hierarchy and reporting relationships to anticipate spear phishing lures impersonating executives or peers.
Identify high-risk user behaviors through proxy and DNS logs, such as frequent visits to compromised or suspicious domains.
Adjust monitoring controls for temporary workers or contractors who may lack security awareness training.
Integrate HR offboarding workflows with access revocation to prevent credential misuse in post-employment phishing attacks.
Apply role-based risk scoring to prioritize phishing simulation frequency and depth of monitoring.

Module 4: Phishing Simulation and Behavioral Conditioning

Design phishing campaigns that emulate real-world lures (e.g., invoice alerts, HR updates) without causing operational disruption.
Define acceptable retest intervals to avoid training fatigue while maintaining baseline awareness metrics.
Exclude critical personnel (e.g., incident responders) from random simulations to preserve readiness during actual incidents.
Implement automated feedback mechanisms that deliver context-specific training immediately after failed simulation clicks.
Track longitudinal user response trends to identify persistent vulnerabilities requiring one-on-one coaching.
Balance transparency about simulation programs with the need to preserve detection realism in user behavior.

Module 5: Detection Engineering and Anomaly Identification

Develop email header analysis rules to detect display name spoofing and domain similarity (typosquatting) in inbound messages.
Build user-behavior analytics models to flag deviations such as sudden increases in email forwarding rules or external sharing.
Deploy machine learning classifiers to score URLs in emails based on domain age, SSL certificate validity, and redirection chains.
Correlate failed login attempts with recent email engagement to identify credential harvesting follow-up attacks.
Configure SOAR playbooks to automatically isolate endpoints after confirmed phishing email interaction.
Validate detection rules against historical phishing incidents to measure precision and reduce alert fatigue.

Module 6: Incident Response and Containment Protocols

Activate predefined communication trees to notify legal, PR, and executive leadership during confirmed credential exfiltration events.
Preserve email headers and original message artifacts in immutable storage for forensic and legal admissibility.
Coordinate with ISPs and domain registrars to takedown phishing sites hosting credential harvesting pages.
Enforce conditional access policies to block authentication from geographic regions not used by legitimate users.
Initiate forced password resets and MFA re-enrollment for users who submitted credentials on confirmed phishing pages.
Document root cause and timeline for post-incident review, including gaps in detection or user training.

Module 7: Governance, Metrics, and Continuous Improvement

Define KPIs such as mean time to detect phishing emails, click-through rates on simulations, and incident containment duration.
Report phishing risk posture to board-level stakeholders using risk heat maps that integrate technical and human factors.
Conduct quarterly control assessments to validate effectiveness of email filters, user training, and detection rules.
Negotiate SLAs with security vendors for updating threat signatures and responding to false positive escalations.
Align phishing defense strategy with regulatory requirements such as GDPR, HIPAA, or SOX where data exposure is a compliance risk.
Rotate control ownership between security, IT, and HR to ensure cross-functional accountability and process resilience.

Module 8: Advanced Attack Vectors and Emerging Defenses

Monitor for business email compromise (BEC) attacks using natural language analysis to detect social engineering cues in message content.
Assess risks of AI-generated phishing content by testing detection systems against synthetic lures created with LLMs.
Implement browser isolation for high-risk users to neutralize client-side execution of malicious scripts from phishing sites.
Deploy client-side email protection agents that analyze messages post-delivery for evasive phishing techniques.
Integrate passwordless authentication methods to reduce the value of stolen credentials from phishing.
Test resilience against QR code phishing (quishing) by scanning and analyzing image-embedded URLs in email attachments.