AI-Assisted Social Engineering Simulation
Simulate multi-vector AI generative phishing, voice clones & adaptive psychological vectors.
Program Overview
Empower your workforce to detect and deflect the next generation of cyber threats. Our AI-Assisted Social Engineering Simulation immerses teams in realistic, controlled scenarios powered by the same technologies modern threat actors use—including synthetic voice cloning, hyper-personalized spear-phishing, and contextual multi-channel pretexting. Every interaction turns human vulnerability into an active defensive perimeter through instant, non-punitive micro-learning.
Who It Covers
Enterprise-wide deployment across all full-time staff, contractors, and specialized modules for high-value targets (Finance, C-Suite, Legal, and IT Help Desk).
Simulated Threat Vectors:
- Automated Spear-Phishing: AI-generated emails using open-source intelligence (OSINT) with zero grammatical flaws.
- Synthetic Voice Cloning (Vishing): Real-time voice synthesis replicating trusted executives or critical vendors.
- Deepfake Visual & Chat Pretexting: Manipulated video clips, Slack/Teams identity spoofing, and smishing (SMS).
- MFA Fatigue & Token Interception: Adaptive scenarios testing prompt-bombing and session hijacking awareness.
Dynamic risk benchmarking, automated quarterly simulations, one-click reporting integration, and real-time behavioral analytics.
Key Deliverables
The Problem Statement
Yesterday’s security training teaches employees to look for broken English, generic greetings, and obvious domain errors. Generative AI has eliminated these red flags. Attackers now automate tailored research, clone executive voices from public audio, and craft flawless communications at scale. Static annual tests fail to prepare personnel for synthetic deception, leaving organizations open to catastrophic lateral movement and unauthorized fund transfers.
Data and risk exposure breakdown
When an AI-driven social engineering attack succeeds, it bypasses technical controls at the identity level, exposing 75% to 85% of enterprise identity and session credentials to MFA bypass and lateral network spread. This initial foothold routinely cascades across the organization, placing 55% to 65% of customer and employee PII/PHI at risk of regulatory-triggering database exfiltration, 40% to 50% of financial capital vulnerable to unauthorized BEC wire diversion and fraudulent invoice settlement, and 30% to 40% of proprietary code and trade secrets susceptible to double-extortion ransomware leaks.
