Multi-Agent Workflow for Coordinated Email, Vishing, and Smishing Multi-Vector Attacks

Manually scripting, timing, and tracking a blended attack across email, voice, and SMS is a multi-day effort per campaign. A custom workflow automates narrative generation, agent synchronization, and cross-channel state management, freeing security teams to focus on analysis and response. Savings come from eliminating the manual coordination of disparate tools and scripts.

Single-channel phishing tests miss the sophisticated, multi-touch tactics of modern attackers. By automating a coordinated narrative—where an SMS follows a suspicious email, and a vishing call references both—you test procedural and psychological resilience, not just email vigilance. This reveals gaps in communication protocols and verification steps that isolated tests cannot.

The workflow ingests fresh threat intelligence (e.g., new BEC lures, vishing scripts) and automatically maps them to multi-channel scenario templates. This reduces the lag from intel discovery to workforce testing from weeks to hours, ensuring training reflects the latest adversary TTPs and improves organizational agility against evolving threats.

Instead of siloed reports from email, SMS, and call platforms, the workflow unifies interaction data into a single audit trail. This enables calculation of true multi-vector susceptibility rates, tracks narrative progression per user, and generates board-ready metrics on cross-channel resilience, directly linking program investment to risk reduction.

Automating complex social engineering tests introduces operational risk (e.g., targeting the wrong person, exceeding ethical boundaries). The custom architecture embeds approval gates, synthetic persona generation to avoid PII use, and strict kill-switch controls. This ensures scalable, safe, and defensible simulation programs that satisfy legal and compliance oversight.

Implementation uses a stateful orchestration layer (e.g., LangGraph) to manage agent workflows, integrating via APIs with email gateways (Proofpoint, M365), telecom APIs (Twilio, Vonage), and security platforms (KnowBe4, Cofense). This cloud-native design supports rolling out coordinated campaigns to thousands of employees across global subsidiaries with localized compliance checks.

The central agent that defines the attack storyline (e.g., a fake IT support ticket) and manages the shared state across all channels. It sequences the multi-vector attack, tracking the target's interactions with email, vishing calls, and SMS to conditionally trigger the next phase. Built on frameworks like LangGraph for stateful workflows, it ensures narrative consistency and handles branching logic based on victim response.

Generates and sends the initial spear-phishing email, crafted using OSINT on the target. It integrates with email service APIs (e.g., SendGrid, Amazon SES) or internal mail servers for deployment. This agent is responsible for embedding tracking pixels/links and reporting click-through events back to the Orchestrator to initiate the next vector.

A voice AI agent that places the follow-up phone call, using voice cloning or TTS to impersonate a trusted entity (e.g., "IT support calling about your ticket"). It interacts via Twilio or telecom APIs, uses real-time speech recognition to parse victim responses, and can adapt its script. All call audio and transcripts are logged for the unified audit trail.

Orchestrates the SMS component, sending text messages that reinforce the narrative (e.g., "Your two-factor code is 123456"). It uses SMS gateways (Twilio, Vonage) and manages timing to align with the email and voice sequence. This agent also tracks link clicks and replies, feeding data back to the central state manager.

A secure middleware layer that brokers all communications between specialized agents and external enterprise systems. It handles authentication for email security gateways, telecom APIs, HR systems (for safe targeting data), and SIEM platforms for feeding simulation events. This layer enforces governance, rate limiting, and data anonymization to prevent operational impact.

Captures every cross-channel interaction—email open, link click, call answer duration, SMS reply—into a single timeline per simulated attack. This engine generates the compliance-ready audit trail, maps actions to frameworks like MITRE ATT&CK, and produces the granular reporting needed to measure resilience gaps and demonstrate due diligence to auditors.

Owns the programmatic goals: reducing click-through rates, improving report rates, and hardening workforce resilience. Responsible for defining attack narratives, success metrics, and integrating simulation data with SIEM/SOAR for threat-informed defense. Must approve scenario content and oversee the post-simulation feedback loop.

Owns the technical delivery and integration layer. Responsible for whitelisting simulation domains/IPs in email security gateways (Proofpoint, M365 Defender), provisioning API access for SMS/vishing services (Twilio, Telnyx), and ensuring simulations do not disrupt production mail flow or trigger widespread spam filtering. Critical for managing false positives and maintaining sender reputation.

Owns the ethical and regulatory guardrails. Must approve the use of synthetic media (deepfakes), personalization techniques, and data handling for OSINT-based targeting. Ensures simulations comply with labor laws, wire fraud statutes, and data privacy regulations (GDPR, CCPA). Establishes the audit trail requirements and incident response plan for any unintended consequences.

Owns the build and runtime of the multi-agent workflow. Architects the system using frameworks like LangGraph or CrewAI to manage state across email, SMS, and voice agents. Develops the integration connectors to security awareness platforms (KnowBe4, Cofense), HRIS for targeting logic, and observability tools. Responsible for exception handling, rollback procedures, and the performance of the orchestration layer.

Owns stakeholder communication and cultural adoption. Must green-light simulations targeting high-value departments (Finance, Executives, R&D) and coordinate messaging to prevent panic or erosion of trust. Provides the business context to make lures credible (e.g., real vendor names, current projects) and helps manage the human response to a realistic, potentially stressful simulation.

Owns the quantification of risk reduction and potential impact on cyber insurance. Works with the security lead to translate simulation results (improved resilience scores) into demonstrable risk mitigation for underwriters. May influence insurance premium calculations and is responsible for ensuring simulation activities do not void existing policy terms related to authorized security testing.