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- Apple leans on Google for AI push
Apple leans on Google for AI push
Plus: Security tools shift toward AI agents
Rimsha Bhardwaj, Hasan Toor & Ihtesham Haider
March 30, 2026
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Today, we will talk about these stories:
Apple hires Google exec for AI strategy
Kubernetes now has to secure AI agents
Bluesky is letting users build algorithms
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Apple’s AI push now runs through rivals
Image Credits: Apple
Apple just hired from the other side.
It brought in Lilian Rincon, who spent 9 years at Google working on Assistant and shopping, to lead AI product marketing as Apple prepares a rebuilt Siri tied to Google’s Gemini models. This comes alongside plans for iOS 27 features that let Siri route questions to third-party AI tools through something called Extensions.
Apple is moving fast, but it is also leaning heavily on outside tech, including a direct partner it usually competes with.
I think this shows Apple cares more about catching up in AI than keeping everything in-house, even if it means giving Google a bigger role inside the iPhone.
The bigger shift is Siri turning into a gateway rather than a single assistant, which could pull more subscriptions and services into Apple’s system.
A phone lights up on a desk. If Siri becomes a switchboard, who actually owns the user relationship?
Security tools move upstream to AI agents
Image Credits: Kuberscape
AI agents are now part of the attack surface.
Kubescape 4.0 adds runtime threat detection and new controls aimed directly at AI agents running in Kubernetes, including 15 controls across 42 configuration risks tied to KAgent setups. It also claims to cut CVE noise by over 95% by focusing on real behavior instead of static scans.
This feels overdue. Once agents start making decisions and touching infrastructure, treating them like normal workloads stops working.
I think the important shift is security teams accepting that agents are not just tools but actors with access, which changes how risk is measured day to day.
The practical result is more monitoring of behavior in real time, not just checking configs before deployment, especially as these systems plug into APIs and production data.
A terminal window flickers. How long before an agent misfire looks like a breach?
Bluesky hands feed control to users
Image Credits: Bluesky
People can now write their own feed.
Bluesky’s team introduced Attie, an AI tool that lets users create custom social feeds using plain language, powered by Claude and built on the AT Protocol. It is in closed beta, and the longer plan is to let these feeds and even full apps run across Bluesky and other atproto platforms.
This is a shift. It puts control closer to users instead of the platform deciding what rises.
I think the bigger move is not feeds but the claim that anyone can build apps without coding, which sounds ambitious but depends on how reliable these AI agents actually are in practice.
If it works, you get a messy ecosystem of niche feeds and tools instead of one main timeline, and that could fragment attention fast.
The room feels quieter. Screens glow late. What happens when everyone runs a different version of the same network?
Prohuman team
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