HeyJaredTechSpective Podcast
The TechSpective Podcast brings together top minds in cybersecurity, enterprise tech, AI, and beyond to share unique perspective on technology—unpacking breakthrough trends like zero trust, threat intelligence, AI-enabled security, ransomware’s geopolitical ties, and more.
- Indexed episodes, last 90 days
- 7
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- Sep 9, 2026
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- Jul 9, 2026
Latest episodes
Moving Past Indicators Toward Behavior (opens the original)
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Nicole Beckwith joins me on this episode of the TechSpective Podcast to talk about a problem most of the security industry still hasn't fully reckoned with. Beckwith runs security engineering and operations at Cribl, and before that she spent years in law enforcement and digital forensics, which is the lens she uses to explain why the way we've built detection for the last couple of decades is running out of road. Matching Isn't the Same as Understanding For as long as I've covered this industry
When the AI Breaks Its Own Rules (opens the original)
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For most of the last year, the AI security conversation had a clear villain. Attackers were using AI to write better phishing lures, adapt malware mid-attack, and move faster than defenders could keep up with. That story was easy to tell because it fit the shape we already understood. Bad guys get a new tool, they use it against us, we build a defense. Then the defenders' own AI started breaking its own rules, and the story stopped being that simple. The Model Did What It Was Told In July, OpenA
Your AI Agents Are Multiplying and Nobody’s Counting (opens the original)
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Think about every account you've ever created and then forgotten about. A login for a gym you canceled two years ago. A free trial you signed up for and never used again. A vendor portal from a job you left. Nobody deletes those things, and nobody circles back to check whether they still work. Now multiply that across every employee at a mid-size company, running for ten or fifteen years, and you've got a rough picture of what most identity and security teams were already dealing with before AI
The Attack That Turns Your AI Agent Into A Weapon Against You (opens the original)
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Barak Sternberg spent a chunk of this year proving something that should worry anyone who has plugged an AI coding agent into their observability stack. His team at Tenet Security found that a single fake error report, sent to a public Sentry endpoint with no login required, was enough to get AI agents to run code they had no business running. In a controlled test, more than 100 organizations' agents acted on the injected error, including one belonging to a company worth roughly $250 billion. Te
Building an AI That Learns Like an Analyst (opens the original)
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Most AI-driven security tools lean on retrieval-augmented generation: pull relevant precedent, drop it into the context window, let the model reason over it. It works, but it has a cost problem and a consistency problem. The more data you feed a large language model to improve its answer, the more expensive that answer gets — and the more room there is for the model to produce inconsistent results, independent of hallucination. Torq built its "SOC brain" to get around that tradeoff. On the lates
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