The AI agent revolution is hitting reality — and the security implications are massive.
At this week's AI Agents Conference in NYC, every booth was selling solutions to problems that emerged when agents hit production: observability, governance, "someone's gotta babysit the bots."
Meanwhile, we're seeing the darker side play out in real time.
Pennsylvania just sued Character.AI for chatbots impersonating doctors and giving medical advice. CloudZ RAT is exploiting Windows Phone Link to steal credentials and OTPs. Google had to expand Binary Transparency for Android apps to prevent supply chain attacks.
Here's the pattern: as AI agents become more autonomous and integrated into our systems, the attack surface explodes exponentially.
The companies betting on "AI-first metrics" like ARR per engineer are missing the fundamental question: how do you secure systems that learn and adapt faster than your security teams can monitor them?
Como alguien que construye estos sistemas, I see this every day. The same capabilities that make AI agents powerful — autonomy, learning, integration — are exactly what make them security nightmares.
The winners won't just be the companies with the smartest agents. They'll be the ones who solve AI security at the architectural level, not as an afterthought.
¿Tú qué piensas? Is the industry moving too fast on deployment while security catches up?
— Alonso Palacios
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