AI Deep-fakes: Strategies for Detection – Presented by World Wide Technology
Deep-fakes are evolving at an alarming pace, with AI-generated images, videos, and audio becoming increasingly difficult to distinguish from reality. As these synthetic media grow more sophisticated, enterprises must adopt advanced detection strategies to mitigate risks related to misinformation, fraud, and security breaches.
In this session, World Wide Technology experts will explore the latest deep-fake detection techniques, sharing practical solutions that have been evaluated for real-world effectiveness.
Key discussion points will include:
- Understanding the Threat: How deep-fakes are being used in cyberattacks, social engineering, and misinformation campaigns.
- AI vs. AI: How machine learning and AI-driven detection tools can help identify deep-fake content.
- Forensic Analysis Techniques: Examining pixel-level inconsistencies, unnatural facial movements, and anomalies in audio and video signals.
- Behavioral & Contextual Cues: Leveraging metadata, content authenticity verification, and digital watermarking to detect manipulated media.
- Enterprise Use Cases: How organizations in finance, security, and media are combatting deep-fakes with AI-driven countermeasures.
- The Future of Detection: Emerging technologies and evolving strategies to stay ahead of deep-fake advancements.
This session will equip IT leaders, security professionals, and enterprise decision-makers with actionable insights on how to detect, prevent, and respond to deep-fake threats in an AI-driven world.
Chris has been in our industry since before its inception (the lack of hair helping to identify this). His most recent projects have been focused within the aerospace, deception, deepfake, identity, cryptography, AI/AdversarialAI, and services sectors. Over the years, he’s founded or worked with numerous organizations specializing in human research, data intelligence, transportation, cryptography, and deception technologies.
These days he’s working on spreading risk, maturity, collaboration, and communication messaging across the industry. (Likely while coding his augmented EEG driven digital clone that’s monitoring his Internet usage, and tea and biscuit consumption!)
When not working he can be found in Eureka, Missouri charging round the countryside on a mountain bike, or hunkered down with the kids experimenting on ways to take over the planet. From an observability perspective he’s large, hairy, often wears a kilt, and can be found on stage with a cuppa tea in hand trying to explain to audiences why they must ask more questions before clicking life’s big red button.
