Clear visibility into risk exposure
Understand how vulnerable key workflows are to AI impersonation attacks.
Stress-test your organization's defenses against AI impersonation attacks.
Momenta conducts adversarial testing engagements that simulate real-world deepfake attack tactics across voice, video, and identity channels.
These assessments help organizations uncover vulnerabilities, validate security controls, and strengthen defenses against rapidly evolving AI-driven fraud.
Voice cloning, deepfake video, and synthetic identity technologies enable attackers to impersonate executives, employees, and customers with unprecedented realism, making fraudulent interactions increasingly difficult to detect.
These attacks target critical operational workflows such as payment approvals, customer verification, executive communications, and operational decision-making, where trust is often assumed.
Most organizations have never tested how these workflows respond to AI impersonation attempts, leaving significant gaps in preparedness.
Adversarial testing replicates real attacker behavior to uncover vulnerabilities early, allowing organizations to identify and address weaknesses before they are exploited.
Each assessment is designed to simulate realistic attack scenarios against your organization's communication infrastructure and operational workflows.
Custom attack scenarios tailored to your organization's communication channels, workflows, and threat landscape.
Realistic deepfake impersonation attempts across voice calls, video meetings, and identity verification processes.
Detailed security assessment documenting vulnerabilities, risk levels, and prioritized remediation steps.
Each engagement follows a structured methodology designed to replicate realistic attacker behavior while maintaining strict control and auditability.
Security specialists identify potential impersonation attack vectors across communication channels and business workflows.
Momenta delivers simulations and captures employee behavior in real time, creating a loop of interaction and analysis.
Realistic attack scenarios are executed while existing controls are tested under adversarial conditions.
Red-team exercises simulate realistic AI impersonation attacks using synthetic voice and video techniques.
Existing security controls and verification procedures are tested under adversarial conditions.
Organizations receive a comprehensive report outlining vulnerabilities, attack paths, and recommended mitigation strategies.
Identified Vulnerabilities
Attack Paths
Risk Exposure
Organizations use adversarial testing to evaluate high-risk communication workflows and authentication mechanisms.
Common engagements include:
Simulated attacks targeting executive assistants and finance teams.
Testing payment approval processes against AI-driven social engineering attacks.
Evaluating identity verification procedures in call centers and support teams.
Security validation before deploying new authentication or communication infrastructure.
Understand how vulnerable key workflows are to AI impersonation attacks.
Receive prioritized recommendations to strengthen security controls and verification processes.
Prepare employees and security teams to respond effectively to AI-driven social engineering attacks.
Provide documented evidence for internal security reviews and regulatory or board reporting.
Simulation vs Adversarial Testing
Organizations often use both approaches to build a comprehensive defense strategy.
Continuous testing program designed to train employees and measure organizational resilience to AI-driven fraud.
Expert-led engagements designed to stress-test high-risk workflows using realistic attacker techniques.
Adversarial testing helps organizations identify vulnerabilities and strengthen defenses before attackers exploit them.