SUMM

The speaker poses a thought-provoking question regarding the misuse of advanced AI tools against us.
Real-life scenarios are presented to illustrate the dangers of AI-generated deep fakes and synthetic identities.

Anthony's Story: A father fell victim to a voice cloning scam, losing $50,000 when he believed he was helping his son in distress, only to discover it was a deep fake.
Lisa's Experience: A woman engaged in a fake online relationship, sending nearly $40,000 over 18 months to someone who was not real, part of a scam known as "pig butchering."
Xavier's Investment: A smart accountant invested $60,000 in a fake cryptocurrency project, losing everything when the creators executed a "rug pull," affecting over 5,000 investors.

AI-driven scams have increased by 375% since 2023, with 76% of synthetic identities evading traditional fraud detection.
Americans reported $9.3 billion in losses from cryptocurrency-related crimes in one year, marking a significant increase.

The speaker emphasizes the necessity of a robust defense system against sophisticated AI-driven fraud.
Cognitive Shield is introduced as a solution, leveraging AI and machine learning to combat these threats.

Cognitive Shield is structured as a three-layer defense system focusing on user data management, real-time fraud detection, and intelligent responses.
Each layer addresses different aspects of fraud prevention and response.

This layer securely manages user data and offers AI-guided assistance to reduce errors in applications and examinations.

The second layer employs eight specialized detection modules for identifying various types of fraud, including deep fakes and bot activities.
Advanced AI technologies such as graph neural networks and natural language processing are used to enhance detection capabilities.

This layer focuses on streamlining the fraud response process with a unified console for insights and case management.
Real-time dashboards and adaptive analytics provide visibility into current fraud trends and threats.

Cognitive Shield utilizes a mix of technologies, including fast API for data handling and Neo4j for graph analysis, to ensure real-time fraud detection.

Trust and security must be integrated from the start in any system designed to combat fraud.
A multi-agent approach is essential for addressing diverse and evolving fraud techniques effectively.

The speaker stresses the urgency of implementing AI-driven fraud defenses, predicting a future where 90% of cyber attacks will be AI-driven.
The presentation concludes with a dedication to a mentor in AI, emphasizing the importance of ethical and accessible AI development.

Cognitive Shield Real Time Real Smart - Rachna Srivastava