Show: Beyond the Pilot · Publisher: VentureBeat · Host: Matt Marshall, Sam Witteveen
Episode URL: https://traffic.megaphone.fm/UTEAU2554000195.mp3?updated=1761670937
Publish date: 2025-10-13
Duration: NAs
Default source credibility: HIGH — Named F500 practitioners on-record with production metrics. VentureBeat editorial vetting. Treat vendor-sponsored segments as MEDIUM.
- Paul Bingham and Mike Morris emphasize the importance of planning and training for AI security incidents, drawing parallels from their FBI tactical response experience.
- They highlight the risks of over-empowering AI agents with access to sensitive data and the need for least privilege principles.
- The speakers stress the importance of understanding where data and AI models come from to avoid vulnerabilities and malware.
Extracted quotes
| # | Credibility | Speaker | Org | Timestamp | Topic | Quote |
|---|---|---|---|---|---|---|
| 1 | HIGH | Paul Bingham (Former FBI Cybersecurity Agent) | Western Governors University | 01:26 | 07-adoption-challenges | The success of those operations was actually predicted by the success of all the trainings ahead of time. And so even in the networking or the cyber world, as we prepare for this combat that we’re going to have with our adversaries, the success is not gained, won or lost in the moment of the conflict. The success is going to be gained in the planning and the practicing of that plan well ahead of time. |
| 2 | HIGH | Mike Morris (Former FBI Cybersecurity Agent) | Western Governors University | 03:02 | 07-adoption-challenges | One of the things you see with AI, you see some of the problems with AI is that we give them too much power. It’d be like you giving Alexa, you know, as an AI agent or Siri as an AI agent access to your bank account. You wouldn’t do that, right? But that’s what companies are doing with some of their AI agents. They’re giving them way too much control, authority, too much access to protected data, and you don’t protect your assets and your data, it can cause all kinds of havoc. |
| 3 | HIGH | Mike Morris (Former FBI Cybersecurity Agent) | Western Governors University | 06:04 | 07-adoption-challenges | One of the couple of things we didn’t talk about on so far with AIs, a lot of times companies, I mean, they can’t afford to build it. So then they use a lot of the platforms that are out there and they already have trained models out there. The question becomes, how do you know how was it trained? Who’s testing that to make sure there’s not a backdoor or malware put into it? And there have been multiple cases now with multiple platforms that offer these tools where hackers are putting malware out on it. And so you may not know it until a year goes by. And the model that you built is now being used in real life in production. And all of a sudden, all these bad things start happening. |
Per-quote detail
1. Paul Bingham — Western Governors University (01:26)
The success of those operations was actually predicted by the success of all the trainings ahead of time. And so even in the networking or the cyber world, as we prepare for this combat that we’re going to have with our adversaries, the success is not gained, won or lost in the moment of the conflict. The success is going to be gained in the planning and the practicing of that plan well ahead of time.
- Credibility: HIGH — Named former FBI agent with specific insights on planning and training for AI security.
- Topic tag:
07-adoption-challenges
2. Mike Morris — Western Governors University (03:02)
One of the things you see with AI, you see some of the problems with AI is that we give them too much power. It’d be like you giving Alexa, you know, as an AI agent or Siri as an AI agent access to your bank account. You wouldn’t do that, right? But that’s what companies are doing with some of their AI agents. They’re giving them way too much control, authority, too much access to protected data, and you don’t protect your assets and your data, it can cause all kinds of havoc.
- Credibility: HIGH — Named former FBI agent with specific insights on AI over-empowerment and data protection.
- Topic tag:
07-adoption-challenges
3. Mike Morris — Western Governors University (06:04)
One of the couple of things we didn’t talk about on so far with AIs, a lot of times companies, I mean, they can’t afford to build it. So then they use a lot of the platforms that are out there and they already have trained models out there. The question becomes, how do you know how was it trained? Who’s testing that to make sure there’s not a backdoor or malware put into it? And there have been multiple cases now with multiple platforms that offer these tools where hackers are putting malware out on it. And so you may not know it until a year goes by. And the model that you built is now being used in real life in production. And all of a sudden, all these bad things start happening.
- Credibility: HIGH — Named former FBI agent with specific insights on AI model training and malware risks.
- Topic tag:
07-adoption-challenges
Extracted 2026-04-15T01:04:24 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).