Breaking Through in Cybersecurity Marketing

AI, LLMs & Cybersecurity: The Good, The Bad, and The Deepfakes with Dr. Andrea Isoni

Feb 12, 2025

Dr. Andrea Isoni, Chief AI Officer at AI Technologies and contributor to AI standards, dives deep into the ever-evolving world of AI. She discusses the competition between open-source and closed models, weighing the benefits and risks. The conversation takes a turn towards cybersecurity, examining how AI can both threaten and enhance our defenses, including tackling the challenges posed by deepfakes. Dr. Isoni also shares insights on China's aggressive AI strategy and the significance of GPU dominance in shaping the future of technology.

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INSIGHT

DeepSeek's surprising performance

DeepSeek's performance surprised Dr. Isoni, exceeding expectations for open-source models.
Its cost-effectiveness and speed challenge closed models, changing the LLM landscape.

INSIGHT

Emerging Economies' AI Adoption

Emerging economies like Brazil and Indonesia show high ChatGPT usage.
This faster adoption stems from their existing outsourcing role and leveraging AI for increased productivity.

INSIGHT

Future of Pre-trained and Specialized Models

DeepSeek's optimization strategies will likely inspire a new wave of pre-trained models.
Specialized post-training models will achieve even better sector-specific results.

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Episode Summary:

The race to be the best in artificial intelligence (AI) is getting stronger. Open-source models are now competing with closed systems, which affects how we create new technology and keep it safe. Will open AI help us make significant discoveries quickly, or could it be too risky? How will governments, businesses, and hackers use this new technology?

In this episode, Dr. Andrea Isoni, the Chief AI Officer at AI Technologies, discusses the latest advances in AI, from computer chips and deepfakes to cybersecurity threats

Timestamps:

[02:30] - The cost and performance of new AI models vs. OpenAI

[06:45] - The LLM arms race: Open vs. Closed AI models

[12:10] - The importance of optimization in pre-training and post-training AI models

[18:00] - China's AI strategy and global AI adoption challenges

[22:40] - The battle for GPU dominance: NVIDIA, AMD, and upcoming players

[29:15] - Cybersecurity and AI: Threats and solutions

[35:20] - The impact of the EU AI Act and global AI regulations

[42:00] - Deepfakes and how AI can protect against AI-powered attacks

[48:50] - The future of AI security: Blockchain, cryptographic verification, and watermarking

Key Takeaways:

AI Optimization is Important: The next wave of large language models (LLMs) will focus on improving optimization, using synthetic data to boost efficiency.
China’s AI Game Plan: Even with all the geopolitical bumps, China is making serious strides in AI and chip manufacturing.
Cybersecurity & AI: AI-driven cyber threats like deepfakes, phishing, and AI poisoning are becoming more sophisticated, so developing AI defenses is essential now.
Regulation is Key: The EU AI Act and other global regulations will play a significant role in adopting AI and developing security measures.
The GPU Race: While NVIDIA is still the top dog, AMD and some newer brands are catching up, prioritizing cost efficiency and innovation.

Resources & Links:

State of Artificial Intelligence Report: stateofartificialintelligence.com
AI Research & Insights: AI Technologies - Click on the "AI Insights" section for more reports and analysis.
EU AI Act Overview: European Commission AI Regulations
OECD AI Incident Index: OECD AI Policy Observatory
Reality Defender (Deepfake Detection Startup): Reality Defender

Be sure also to follow our hosts on LinkedIn:

👉Gianna Whitver

👉Maria Velasquez

Thank you for tuning in to another episode of Breaking Through in Cybersecurity Marketing. You can join the Cybersecurity Marketing Society on our website, main LinkedIn page, or podcast LinkedIn page, and keep up with us on Twitter.

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