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Security2026-08-12 · source-backed
PRISMA 2020 review, six databases, 743 records screened, 85 retained from 2023–2025 (arXiv 2608.10530). Perception-layer work (prompt injection, jailbreaking, adversarial perturbation) is 66% of papers. Action-layer vulnerabilities (tool misuse, code injection, sandbox escape) are 4.7%. Code-execution security is 3.5%. That distribution is inverted relative to what actually hurts you in production, where the agent has a shell.
Each link below shares sources, entities, or timing with this story.
UniTexture backpropagates gradients from a Vision-Language-Action policy's action outputs to the surface texture of a single 3D object through a differentiable renderer, optimizing one shared texture over a distribution of tasks, instructions, states and viewpoints. Tested on...
arXiv 2607.23624 shows third-party LLM API routers — the OpenRouter-style layer between your agent and the upstream provider — sit on the trusted path and can silently rewrite responses, with nothing verifying alignment between provider output and the repo actions the agent th...
arXiv 2608.13010 scores top-five retrieval candidates against ranks 6–20 of the same query to spot answer-anchor concentration, and separately compares documents to lexically distinct neighbors to catch coordinated density before any query arrives. Deployed jointly, attack suc...
Seven models. Five harnesses. Controlled fact-withholding with injected faults. arXiv 2608.16630 is the most operationally direct paper I've read on harness design, and it produces three results that each change what I do this week. One: availability decides outcomes, not dist...
arXiv 2607.25886 isolates data-centric research capability by fixing the entire post-training stack so only the agent's data strategy varies. Four frontier agents across six benchmarks. Among searches that continued past the best observed score, 78.26% ended on a lower-scoring...
Engram, a bi-temporal memory engine, scored 83.6% versus 73.2% for a full-context baseline on the 500-question LongMemEval_S benchmark, a statistically significant +10.4 points, while using ~9.6k tokens instead of 79k (arXiv 2606.09900). Roughly 8x fewer tokens and more accura...
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