Dashboard

AI-Driven Threats & Deepfakes
An overview of the evolution and impact of AI in cyber attacks.
Human-Driven Attacks
AI-Amplified Attacks
Agentic AI Autonomy

Key Threat Vectors

Automated Malicious Operations

Generative AI amplifies malicious activity by automating key stages of an attack, including reconnaissance, exploitation and highly persuasive content creation.

Deepfake Surge and Phishing Efficiency

Deepfake fraud has nearly tripled globally. Furthermore, AI-powered phishing achieves alarmingly high click-through rates, noted to be up to 54% in regions like Africa, demonstrating enhanced efficacy through personalization.

Localized Vishing Campaigns

Voice cloning technology enables highly convincing and personalized vishing (voice phishing) campaigns that specifically exploit regional languages and cultural contexts to increase their success rate.

Nation-State Predictive Advantage

AI significantly enhances the predictive analytics capabilities for nation-state actors, allowing them to rapidly process vast datasets to efficiently and precisely identify high-value targets within governments and private sectors.

AI Creates New Attack Surfaces

The integration of AI introduces new vectors for attacks, expanding beyond traditional threat surfaces. These new surfaces include everything from the AI models themselves to the data pipelines that feed them.

  • GenAI Prompts and Responses
  • AI Data and Orchestration
  • Plugins and Functions
  • Web Data and Source Context
  • AI Models

These new surfaces intersect with traditional threat vectors like Applications, Cloud, Networks, Identity, Data, and Endpoints, creating a more complex and challenging security environment.