Description

This curriculum spans the design and operation of enterprise phishing defenses at the scale of an ongoing internal capability program, integrating technical controls, behavioral training, and detection engineering across email systems, user populations, and security operations.

Module 1: Threat Landscape Analysis and Phishing Typologies

Selecting and integrating threat intelligence feeds to identify emerging phishing campaigns targeting specific industries.
Differentiating between mass phishing, spear phishing, and whaling based on email metadata and recipient targeting patterns.
Mapping known attacker infrastructure (e.g., IP ranges, domains) to internal network logs to detect pre-attack reconnaissance.
Classifying phishing payloads by delivery mechanism (e.g., malicious attachments, embedded links, HTML forms) for response prioritization.
Assessing the use of polymorphic content and domain spoofing techniques to evade signature-based detection systems.
Documenting attacker tactics, techniques, and procedures (TTPs) from real-world incidents to inform defensive strategies.

Module 2: Email Security Architecture and Defense Layers

Configuring DMARC, SPF, and DKIM policies with alignment settings to prevent domain spoofing and enforce authentication.
Evaluating sandboxing solutions for dynamic analysis of suspicious email attachments across multiple OS environments.
Implementing TLS enforcement for inbound and outbound email to prevent interception during transit.
Integrating API-based email security gateways with cloud email providers to maintain visibility across decentralized platforms.
Adjusting heuristic filtering thresholds to balance phishing detection rates against false positives impacting business operations.
Deploying URL rewriting and real-time link scanning to intercept users accessing malicious domains post-delivery.

Module 3: User Awareness and Behavioral Conditioning

Designing simulated phishing campaigns with varying lures (e.g., invoice alerts, HR notices) to assess user susceptibility.
Segmenting training content by role (e.g., finance, executive, IT) to reflect realistic attack scenarios and urgency cues.
Integrating just-in-time training modules triggered by failed phishing simulations for immediate behavioral correction.
Establishing feedback loops between security teams and end users to report suspected phishing without disrupting workflows.
Measuring training efficacy through repeat click rates and reporting behavior over time, not one-time completion metrics.
Addressing user fatigue by limiting simulation frequency and avoiding punitive responses to repeated failures.

Module 4: Detection Engineering and SIEM Integration

Developing correlation rules in SIEM platforms to flag sequences such as email receipt followed by external URL access.
Normalizing and enriching email log data (e.g., headers, attachment hashes) for centralized analysis and long-term retention.
Creating custom detection logic for anomalous sender behavior, such as internal accounts forwarding external emails at scale.
Integrating EDR telemetry to detect post-phishing activity like credential dumping or lateral movement.
Validating detection rules against historical phishing incidents to reduce blind spots and improve accuracy.
Managing alert volume by tuning severity levels based on confidence scores and asset criticality.

Module 5: Incident Response and Containment Protocols

Executing mailbox search and purge operations across hybrid email environments to remove malicious messages post-breach.
Isolating compromised endpoints based on phishing email interaction timestamps and process execution chains.
Resetting credentials and revoking active sessions for accounts accessed from suspicious IP addresses or devices.
Coordinating with legal and communications teams when phishing leads to data exfiltration involving regulated information.
Preserving email headers, PCAPs, and user interaction logs for forensic analysis and potential legal proceedings.
Activating playbooks for credential harvesting incidents, including monitoring dark web markets for leaked credentials.

Module 6: Governance, Compliance, and Risk Reporting

Aligning phishing controls with regulatory requirements such as GDPR, HIPAA, or SOX based on data exposure risks.
Quantifying phishing risk exposure using metrics like mean time to detect (MTTD) and mean time to respond (MTTR).
Documenting control effectiveness for internal audit teams, including gaps in email filtering and user training.
Establishing escalation thresholds for board-level reporting based on attack frequency, success rate, and business impact.
Conducting third-party risk assessments of email security vendors for resilience against evasion techniques.
Updating business impact analyses when phishing trends shift toward supply chain or vendor impersonation attacks.

Module 7: Advanced Attack Simulation and Red Teaming

Planning red team exercises that simulate multi-stage phishing attacks, including post-compromise lateral movement.
Using domain shadowing or typo-squatting techniques in controlled environments to test detection capabilities.
Assessing the effectiveness of browser isolation and conditional access policies during simulated credential theft.
Measuring detection and response times across SOC shifts to identify operational gaps in 24/7 coverage.
Debriefing cross-functional teams post-exercise to refine detection rules, communication protocols, and containment workflows.
Ensuring red team tools and methods are updated to reflect current phishing kits and attacker infrastructure patterns.

Module 8: Continuous Improvement and Metrics-Driven Optimization

Tracking phishing email dwell time from delivery to user reporting or automated removal to assess detection efficiency.
Comparing false positive rates across filtering vendors to optimize configuration without degrading protection.
Using A/B testing to evaluate different user training formats (e.g., video, interactive modules) on reporting behavior.
Integrating phishing KPIs into executive dashboards, including click-through rates and incident recurrence by department.
Conducting root cause analysis on successful phishing breaches to identify control failures or process breakdowns.
Updating technical and procedural controls quarterly based on threat intelligence updates and internal incident data.