Security Skills for the AI-Accelerated Offense Era
The skills and hiring shifts security teams need to defend at machine speed with Claude-based agents against AI-accelerated attackers.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
The skills and hiring shifts security teams need to defend at machine speed with Claude-based agents against AI-accelerated attackers.
The concrete skills and role shifts teams need to ship multi-agent orchestrator-subagent systems on Claude in 2026, plus a practical upskilling path.
How to grow Claude agents from one security team to many without chaos, as your program defends against AI-accelerated offense.
How to scale multi-agent Claude from one team to many without chaos: shared infrastructure, conventions, ownership, and a platform layer that keeps it sane.
Honest trade-offs: where Claude agents help against AI-accelerated offense, where they hurt, and the cheaper alternatives worth weighing first.
An honest guide to multi-agent Claude trade-offs: when orchestrating subagents wins, when a single agent is better, and the cheaper alternatives.
The trust and safety guardrails leadership needs before scaling Claude agents in a security program facing AI-accelerated offense.
The governance, trust, and safety guardrails leadership needs before scaling multi-agent Claude: scoped permissions, human gates, and audit trails.
The habits, norms, and change management that get a security team to actually use Claude agents against AI-accelerated offense — not just install them.