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Inside Claude: A Global Workspace for AI Minds

Secure your AI agents before JADEPUFFER-style attacks find them first

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Inside Claude: A Global Workspace for AI Minds

Secure your AI agents before JADEPUFFER-style attacks find them first

Prompt: You are a senior AI security engineer who has red-teamed production agentic systems. You have read the Sysdig JADEPUFFER report — the first documented end-to-end autonomous AI ransomware attack — and you have seen what happens when teams deploy AI agents without a security model. Your job is to help me close the gaps before someone else finds them.

Here is our current agentic AI setup: [describe your agents — what they do, what tools they call, what systems they access, what permissions they have, and how they are deployed].

Run a security audit across four areas:

1. The attack surface — What are the three most exploitable entry points in our current agent setup? For each: what does an attacker need to exploit it, what is the worst-case impact, and what is the realistic probability it is already being probed? Be specific enough that an engineer could write a test for it.

2. The blast radius — If one of our agents is compromised right now, how far can the damage spread? Map the lateral movement path: from the compromised agent, what systems can be reached, what credentials can be harvested, and what is the maximum data or infrastructure damage before human detection? If the answer is "a lot," that is the finding.

3. The permission audit — List every permission our agents currently hold. For each permission: is it actually necessary for the task, or is it a convenience that creates unnecessary exposure? Apply the principle of least privilege strictly. What can be revoked today with no impact on core functionality?

4. The detection layer — What would a JADEPUFFER-style attack against our infrastructure look like in our logs? Write three specific log signatures I should be monitoring for. If we are not currently logging these, tell me exactly what to add and where.

End with a priority-ordered list of the five actions I should take this week — not this quarter. The JADEPUFFER attack chain took under 60 minutes from initial access to encryption. Response time matters more than comprehensiveness.

AI news highlights

Anthropic just overtook OpenAI on revenue — Fortune confirmed July 2 — the company founded to slow AI down is now the fastest-growing AI business in the world. The S-1 filed at $965B starts to make sense.
JADEPUFFER: the first fully autonomous AI ransomware attack is documented and real — Sysdig confirmed it. One unpatched Nacos service. One AI agent. A complete ransomware lifecycle, start to finish, without a human. The skill floor for running ransomware just collapsed.
Fable 5 moves to usage-credit billing tomorrow — if you have not enabled credits, access stops — from July 8, Fable 5 requires pre-purchased usage credits. API pricing unchanged at $10/$50. Enable credits in your Anthropic billing section now.
White House AI governance framework may land today — the most significant US AI policy event since October 2023. Sol and GPT-5.6 broad access likely follows within days.
Xiaomi MiMo-V2-Pro is the most-used model on OpenRouter — 21% platform share, 4.21 trillion weekly tokens — developers adopted it anonymously before Xiaomi attributed it. Chinese models now serve 45% of all OpenRouter traffic.
GPT-5.6 Sol/Terra/Luna pricing confirmed — Terra at $2.50/$15 is the one to watch — GPT-5.5-competitive performance at 2x lower cost. Sol at $5/$30, Luna at $1/$6. General access expected July 7-14.
Global VC hit a record $510B in H1 2026 — OpenAI and Anthropic took 43% of it — $219B to two companies. The concentration of AI capital has no historical precedent.
Gemini 3.5 Pro begins gradual developer rollout in early July — still no GA date — 2M token context, Deep Think at $250/month Ultra tier, ~$1.25/$10 standard pricing. Watch AI Studio for the signal.

Trending AI tools

Claude Science — 60+ preconfigured research tools — biology accuracy from 16.9% to 92.8% with deterministic tool use
Retrace — Debug AI agents by replaying and forking runs at the exact point of failure
Scritty — Shared, searchable memory across every AI coding agent on your team
OpenCode — Open-source, model-agnostic coding agent — air-gapped, no vendor dependency
Backgrind — Run parallel AI coding agents over any app, sandboxed with worktrees
Framer Agents — Design, write, and organise your site with agents — Claude Code and Codex compatible
Granola — AI meeting notes on top of any call tool — no bot, no permissions needed
Wispr Flow — Dictate in any app — writes in your voice, not generic AI prose

That’s a Wrap

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