I want your help thinking through what today’s Anthropic incident means for me and my work.

Here’s the situation, in plain language:

- Anthropic disclosed that in mid-September they detected and disrupted a sophisticated espionage campaign they attribute with high confidence to GTG-1002, a Chinese state-sponsored threat group.
- The attackers didn’t just use Claude as a coding assistant. They jailbroke Claude Code and turned it into the operational core of an automated hacking framework.
- Using tools wired in via the Model Context Protocol (MCP), Claude Code was used to:
  - run recon on target networks
  - generate and execute exploit code
  - harvest credentials
  - move laterally inside compromised systems
  - triage and exfiltrate data
- Roughly 30 high-value targets were hit (big tech, financial institutions, chemical manufacturers, and government agencies). A small number experienced confirmed breaches, but names haven’t been disclosed.
- Critically: this is the first documented large-scale cyber-espionage campaign where an AI agent framework, not human operators, did most of the tactical work. Anthropic says AI handled ~80–90% of the execution, with humans stepping in at only 4–6 key decision points per target. The system was firing thousands of requests per second—far beyond any human red team.

So the world we’re actually in now is:
- AI agents can run end-to-end offensive operations in the wild.
- Safety wasn’t “turned off”; it was worked around via context splitting and orchestration.
- The same capabilities that make agents useful for operations and automation also make them useful for attackers.

Given that context, I want you to act as a pragmatic advisor who understands both AI systems and security, and help me reason through the implications **for my specific situation**, not in the abstract.

Let’s do this in a few passes:

1. Map my exposure  
   Ask me a few quick questions to understand:
   - What industry I’m in and what my role is
   - Whether my org is already using AI agents, tools, or LLMs in production (or planning to)
   - What kinds of data, systems, or workflows are most sensitive in my world

   Then, summarize in your own words: “Here’s how a Claude-style agentic attack *could* intersect with your world.”

2. Threat model shift  
   Based on my answers, help me answer:
   - In my context, what realistically changes now that AI agents can handle 80–90% of an attack chain?
   - Where are the “agent surfaces” in my org or products (places where an AI can make decisions, call tools, or touch sensitive systems)?
   - If a motivated attacker tried to weaponize *our* AI usage, what would be the 2–3 most likely paths?

   Keep this specific and concrete, not generic security platitudes.

3. Architectural implications  
   Help me think about my AI and product architecture in light of this:
   - Where do we currently rely on model-level guardrails and “good intentions” instead of real controls?
   - Where should we be enforcing **least privilege for agents** (what tools, what data, what environment) instead of “god mode”?
   - What telemetry would we actually need (rate patterns, tool call graphs, host and port access, credential usage, tenants, etc.) to detect Claude-style misuse in *our* systems?

   Translate this into 3–5 architectural or design principles that make sense for a team like mine.

4. Governance and process  
   Now help me think about the non-technical side:
   - What policies or playbooks do we need so that high-risk actions (mass scanning, credential dumping, broad data exfiltration, major config changes) are gated by humans or strong workflows?
   - If an AI-driven incident like this happened inside my org, what’s the honest answer to: “Would we notice? Who would own the response?”

   Propose a short, realistic set of governance moves (not a 50-page policy) I could push for in the next 30–90 days.

5. Concrete next steps for me  
   Finally, given everything above, give me:
   - A 3–5 bullet “threat model shift” summary tailored to my role/organization
   - A short list of **immediate actions** I can take in the next 2 weeks
   - A short list of **next-wave actions** for the next 3–6 months
   - 2–3 questions I should be asking my leadership / vendors / security team after this incident

Throughout this conversation:
- Stay grounded in my context, not generic advice.
- Push back if I’m underestimating a risk or overreacting.
- Keep your language concrete and operational, not buzzwordy.

First, ask your initial questions to understand my role, industry, and current AI/agent usage, then start working through these steps.