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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Security Risks of Apple
Kyle Reddoch · 2026-06-16 · via Hacker News - Newest: "AI"

Apple’s Describe a Shortcut feature may end up being one of the most quietly powerful Apple Intelligence updates.

It also might be one of the easiest places for normal users to create security risk without realizing it.

Apple says Shortcuts can now take a user’s description and assemble the required steps on their behalf. If the user needs to tweak or add something, they can describe the change and the Shortcuts app adjusts the workflow. Apple’s examples include setting an alarm based on the first Calendar event the next day, opening productivity apps with a specific window arrangement, or turning on porch lights when a food delivery notification arrives.

That sounds great. Shortcuts has always been powerful, but a lot of people never used it because building automations felt too technical.

AI removes that barrier.

That is the upside. The downside is that removing technical friction also removes some of the natural review that used to happen when people had to build workflows step by step.

This is vibe coding for personal automation

I do not mean that as an insult. I mean it as a warning.

AI-built Shortcuts are basically vibe coding for the Apple ecosystem. A user describes the outcome they want, the assistant builds the workflow, and the user decides whether it looks right.

That can be incredibly useful. It can also create workflows users do not fully understand.

The security risk is not that every AI-built Shortcut is dangerous. The risk is that users may approve automations that touch sensitive data, send information, move files, trigger smart home devices, interact with third-party apps, or create recurring actions without understanding every step.

This is the same pattern we are seeing with AI-generated code. The output may work. That does not mean the user can defend it.

Automation risk is action risk

Shortcuts is not just a note-taking tool. It can automate real actions.

Depending on the apps involved and permissions granted, automations can interact with messages, files, calendar events, reminders, URLs, clipboard content, photos, home devices, focus modes, notifications, and third-party apps. That is why AI-built Shortcuts need to be reviewed like small pieces of operational logic, not cute productivity tips.

OWASP’s Excessive Agency guidance is useful here. It says the root causes of excessive agency are excessive functionality, excessive permissions, and excessive autonomy. A Shortcut can hit all three if it has broad app access, runs automatically, and performs actions that affect data or devices.

The question is not “Can AI build the Shortcut?”

The question is “What can this Shortcut do after the user forgets it exists?”

The dangerous workflows are the ones that keep running

One-time automations are easier to inspect. Persistent automations are different.

A Shortcut that runs every morning, every time a message arrives, when a focus mode changes, when a device connects, when a location changes, or when an app opens can become part of the user’s environment. If it is poorly built, too broad, or connected to the wrong app, it can keep creating risk quietly.

Examples of risky AI-built automations:

  • Forwarding attachments from certain emails to a cloud folder without validating the sender.
  • Saving screenshots to a shared folder automatically.
  • Sending calendar details to a third-party app.
  • Copying clipboard contents into notes or messages.
  • Triggering smart locks, lights, or cameras from notification text.
  • Creating reminders or tasks based on messages from unknown senders.
  • Opening URLs from messages without checking the domain.
  • Moving files based on broad keyword matches.

Some of those might be useful in the right context. They can also be abused or misconfigured.

Untrusted triggers are a big deal

The most concerning Shortcuts are the ones triggered by content the user does not fully control.

Email, Messages, notifications, websites, QR codes, calendar invites, and app data can all be messy. If a Shortcut reacts to those inputs, it needs guardrails. Otherwise, an attacker may be able to influence the automation simply by sending the right message or creating the right content.

That is prompt injection thinking applied to automation.

If a malicious message can cause a Shortcut to file, forward, reply, open, unlock, notify, or send something, then the automation is not just convenient. It is an attack surface.

This is where users need to be careful with natural-language automation. “When I get a delivery notification, turn on the porch lights” sounds safe. But what counts as a delivery notification? Which app? Which sender? Which keyword? What if a spoofed notification contains the same phrase?

Specific triggers are safer than vague triggers.

Business use needs policy

I can already hear how this will show up in small businesses.

Someone discovers Describe a Shortcut. They build automations to save invoices, summarize messages, move files, prepare customer replies, open apps, send reminders, or update spreadsheets. It works. Everyone loves it. Nobody documents it.

Then six months later, someone leaves the company, changes phones, loses a device, or a client asks why their information ended up in the wrong place.

That is not an Apple problem. That is an operations problem.

For MSPs, this is where we need to be practical. You do not need to ban Shortcuts in every environment. But you do need to treat business automations as business assets.

A business Shortcut that touches company data should have:

  • An owner.
  • A purpose.
  • A list of apps and permissions used.
  • A clear trigger.
  • A review date.
  • A way to disable it.
  • A note about what data it sends or stores.

That may sound heavy for a Shortcut, but it is not heavy if the Shortcut moves client data.

AI-generated Shortcuts should be reviewed step by step

The user experience should not end at “I built this for you.” It should encourage review.

The ideal review screen would show:

  • Trigger.
  • Apps involved.
  • Data read.
  • Data written.
  • Data sent externally.
  • Whether the Shortcut runs automatically.
  • Whether the user must approve each run.
  • Any security-sensitive actions.

Users need plain-language explanations, not just a stack of colorful blocks.

Apple is very good at making complex things feel simple. With automation, simplicity must not hide consequences.

What users should do

For personal use:

  • Start with simple automations.
  • Review every action before enabling.
  • Avoid automations that send, delete, purchase, unlock, or share without confirmation.
  • Be careful with triggers based on messages, emails, notifications, or websites.
  • Delete Shortcuts you no longer use.
  • Do not run random Shortcuts from the internet without inspecting them.
  • Prefer “ask before running” for anything sensitive.

A good rule: if you would be upset if the Shortcut ran at the wrong time, require confirmation.

What businesses should do

For businesses:

  • Decide whether Shortcuts are allowed on managed devices.
  • Document approved business automations.
  • Keep client data out of personal automation workflows.
  • Use MDM and managed app controls where possible.
  • Prohibit automations that send company data to personal accounts.
  • Review automations during offboarding.
  • Train users to treat AI-built automations like scripts.

Apple’s device management restrictions already include many controls around Apple Intelligence features, managed and unmanaged data flow, and external intelligence integrations. Those controls should be part of the planning conversation.

The bottom line

Describe a Shortcut could be fantastic. It will help normal users build automations that used to feel out of reach.

But the easier automation becomes, the easier it is to create a workflow nobody understands.

That is the security lesson.

AI-built automations need the same basic discipline as scripts, RMM policies, PowerShell snippets, and low-code workflows: know what they touch, know when they run, know who owns them, and know how to turn them off.

Convenience is great. Invisible automation with sensitive permissions is not.