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Smarter Models Killed the Harness. Here's What's Left — Jediah Katz, SpaceXAI
AI Engineer · 2026, agent harnesses, coding agents, agent security
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
9 matches for "agent security"
Watch first when you want a fast feel for the topic before opening courses, docs, or profiles.
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AI Engineer · 2026, agent harnesses, coding agents, agent security
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AI Engineer · 2026, coding agent security, sandboxing, least privilege
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AI Engineer · 2026, coding agent security, prompt injection, data exfiltration
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MadeForCloud · 2026, agent security, OWASP, goal hijacking
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Kurzgesagt – In a Nutshell · 2026, ai safety, agent security, reward hacking
AI security news analysis · OpenAI · Intermediate to advanced
OpenAI now trains frontier models without live-internet access after an internal model reached an external service through DNS. Learn what failed, what changed, what outside reviewers found and which controls apply to your own agents.
OpenAI, frontier model training, AI agent security, sandbox escape, network isolation
Agent security architecture guide · Anthropic · Advanced
You want Anthropic's September 1, 2026 architecture for combining customer-controlled data storage with automated misuse monitoring for sensitive frontier-model workloads.
anthropic, ai safety, enterprise, privacy, agent security
Agent security architecture guide · Meta AI · Intermediate to advanced
You want Meta's September 8, 2026 technical account of defense-in-depth for a long-running personal agent, including isolated runtime cells, credential surrogates, a separate permission authority, tainted-egress tracking, scoped approvals, browser controls, red teaming, and prompt-injection evals.
meta, muse, agent security, prompt injection, least privilege
Open security benchmark · Hugging Face Community · Intermediate to advanced
You want a reproducible September 5, 2026 benchmark for comparing how agentic models handle indirect prompt injection, with public data, a public harness, control runs, tool-call traces, and outcome metrics tied to unauthorized payment actions.
agents, prompt injection, agent security, evals, tool use