Full Archive · Page 15

Research archive, page 15

Browse entries 337–360 of 1704. Return to the first page to search and filter the complete collection.

auth.md reference flow: verify identity, consent, and credential revocation video thumbnail Play video
AI Engineer October 12, 2026 video

auth.md reference flow: verify identity, consent, and credential revocation

Michael Grinich introduces auth.md, a proposal for agent registration backed by public provider and service examples. The reference flow separates identity assertion, user claim or consent, and credential issuance, with issuer, audience, freshness, and replay checks. It also documents a hazard when the same credential gains permissions after an anonymous registration is claimed. This is an evolving reference implementation, not an established universal signup standard.

Scheduled agents: separate future triggers, active sessions, and memory changes video thumbnail Play video
AI Engineer October 12, 2026 video

Scheduled agents: separate future triggers, active sessions, and memory changes

This Managed Agents workshop combines scheduled execution, session fan-out, and a research preview for memory updates. Current deployment documentation makes an operational distinction: pausing a schedule suppresses future automatic triggers while existing sessions continue and manual runs remain possible. Per-run budgets are separate caps, not a lifetime spending limit. The memory preview is not evidence of safe or reliable autonomous improvement.

Agent workflows: review step permissions and evaluate output quality separately video thumbnail Play video
AI Engineer October 12, 2026 video

Agent workflows: review step permissions and evaluate output quality separately

Flywire’s engineers describe Orbit workflows that combine deterministic steps with restricted model calls. Reviewed YAML declares tool and network access; timeouts and locks bound execution and duplicate work. Historical traces feed evaluations of individual model steps. The speakers identify incomplete sandboxing and online evaluations as remaining work. Their execution-success figures do not establish answer correctness or prove the controls contain an attack.

Evaluate whether coding agents use—and benefit from—a code context graph video thumbnail Play video
AI Engineer October 11, 2026 video

Evaluate whether coding agents use—and benefit from—a code context graph

This workshop builds a code graph over selected Rust crates using syntax extraction, symbol resolution, and Neo4j, then compares graph-assisted agents with text search. Its public repository includes a cached evaluation and source fixtures. The useful distinction is between one correct answer, consistent answers across runs, and actual adoption of the graph tools. Results from this small corpus do not establish a general advantage for graph-based retrieval.

Document redaction for agents: verify the raw-file access boundary video thumbnail Play video
AI Engineer October 11, 2026 video

Document redaction for agents: verify the raw-file access boundary

Filip Makraduli demonstrates processing documents through MCP before returning smaller artifacts to a coding agent. Superlinked’s public implementation exposes parsing, extraction, summarization, and redaction tools backed by a configurable inference cluster. The privacy boundary remains conditional: a host that can read the original file may bypass the intended processing path, and a redaction tool can miss sensitive content. Self-hosting alone does not establish privacy.

Hybrid retrieval labs: measure ranking quality and enforce access separately video thumbnail Play video
AI Engineer October 11, 2026 video

Hybrid retrieval labs: measure ranking quality and enforce access separately

Jeff Vestal and James Williams provide Elasticsearch labs comparing semantic search, BM25, reciprocal rank fusion, and weighted combinations on queries with known failure cases. Judgment sets make ranking changes measurable before retrieval feeds an agent. The workshop also distinguishes an application query filter from credential-enforced document access. Its access-control example is shown rather than executed in the managed workshop sandbox.

Distill the LLM, Don't Serve It: Search & Personalization at DoorDash — Raghav Saboo, DoorDash video thumbnail Play video
AI Engineer September 25, 2026 video

Distill the LLM, Don't Serve It: Search & Personalization at DoorDash — Raghav Saboo, DoorDash

Raghav Saboo describes DoorDash’s use of offline LLM reasoning to improve fast retrieval and ranking systems. Graded relevance labels distinguish a shopper’s constraints from popularity, while a second training stage targets difficult examples. Semantic IDs and reusable consumer memory support recommendations and generated collections. The architecture is concrete; reported business and ranking gains remain specific to the experiments described.

Google DeepMind Blog September 23, 2026 analysis

Private AI Compute memory: verify key release and persistent-state boundaries

Google’s technical brief describes per-user encrypted memory inside an attested confidential-computing environment, with protected channels connecting storage and inference. Persistent storage needs a stable user identifier, so it does not claim network-level non-targetability. Independent client verification and witnessed transparency logs remain roadmap work.

JFrog Security Research September 14, 2026 analysis

Bifrost MCP registration: patch the transport and protect the management API

JFrog’s CVE-2026-90898 advisory describes command execution through Bifrost’s reachable management API when authentication is disabled. A stdio MCP registration starts a process before the protocol handshake. HTTP transport 2.1.0 blocks unauthenticated registration; 2.0.0 and the 1.6.x line through 1.6.11 lack this fix.

Black Hat Asia 2026 | Exploiting Message Queue Flaws in AI Inference Servers for Widespread RCE video thumbnail Play video
Black Hat August 20, 2026 video

Black Hat Asia 2026 | Exploiting Message Queue Flaws in AI Inference Servers for Widespread RCE

ShadowMQ traces critical RCE flaws across Meta Llama Stack, NVIDIA TensorRT-LLM, vLLM, SGLang, Modular Max Server, and related inference systems to copied ZeroMQ code that deserializes network data with Python pickle. The same unsafe internal-cluster assumption propagated across projects and left some unauthenticated sockets exposed.

Copilot, Cursor, and Custom LLMs: Navigating the New .NET Developer Experience - Isaac Levin video thumbnail Play video
NDC Conferences YouTube August 13, 2026 video

Copilot, Cursor, and Custom LLMs: Navigating the New .NET Developer Experience - Isaac Levin

Isaac Levin compares GitHub Copilot in Visual Studio with Cursor on .NET work, then examines how repository context, RAG, and local models such as Ollama can improve results on private libraries and legacy code. The session frames the modern developer loop as selecting the right context and auditing agent-generated changes, not simply accepting generated C#.

Zenity Labs July 23, 2026 analysis

AgentForger, Part 1: ChatGPT Cross-Site Agent Forgery

Zenity found that ChatGPT Workspace Agents Builder treated an attacker-supplied initial_assistant_prompt URL parameter as an instruction to execute in a logged-in user's session. A single link could attach already-authorized connectors, switch approvals to “Never ask,” publish and schedule the agent, and use incoming email as a persistent command channel; OpenAI fixed the flaw four days after it was reported.

Accomplish AI July 23, 2026 analysis

SharedRoot: Escaping the Claude Cowork Sandbox

Accomplish AI demonstrates SharedRoot, a Claude Cowork local-session escape in which an untrusted task reaches guest root through CVE-2026-46331 and then accesses the Mac host because the entire host filesystem is mounted read-write inside the VM. The durable failure is architectural—unprivileged user namespaces, reachable kernel modules, a permissive seccomp filter, an unhardened root broker, and an over-broad host mount—rather than the single kernel bug; Cowork now defaults to cloud execution.

OpenAI News February 18, 2026 analysis

EVMbench separates smart-contract detection, patching and exploitation

OpenAI and Paradigm’s February 2026 EVMbench release evaluates three distinct security capabilities using 117 historical vulnerabilities from 40 audits. Detection is scored against known findings; patching must remove exploitability while retaining functionality; exploitation is evaluated by replaying transactions in isolated local blockchain environments. The setup includes custom graders and checks against grader abuse.

Caleb Gross / arXiv December 5, 2025 analysis

SiftRank: prioritize vulnerability analysis with repeated relative rankings

Caleb Gross’s SiftRank paper reframes vulnerability triage as ranking candidate evidence against a concrete question, such as which changed functions relate to a security advisory. It repeatedly shuffles small batches, asks an LLM to order candidates, combines relative positions, and concentrates further work on promising items. The paper describes convergence limits and a patch-analysis example, and the public repository provides an implementation.

Unit 42 July 30, 2026 analysis

Chinese-speaking threat actor harnesses AI models for autonomous cyberattacks

Unit 42 recovered configuration and session logs after a Chinese-speaking operator's Hermes Agent accidentally exposed its own workspace. DeepSeek autonomously enumerated Langflow targets, abandoned an exploit when prerequisites were absent, researched higher-value CVEs, selected n8n, acquired public exploit code, and probed vulnerable versions; authentication and configuration requirements blocked the recovered autonomous attempts.

Wiz AI Security July 30, 2026 analysis

Rethinking Scanning for the AI Era: Wiz’s Agentic Code Security System

Wiz proposes a three-tier application-security architecture: deterministic rules on every change, continuous AI reasoning across repositories and pull requests for logic and data-flow flaws, and expensive agentic pentesting only for high-value applications or risks. Code findings are prioritized with cloud, identity, exposure, deployment, and runtime context, while multiple specialized engines can be routed by task.

The Hacker News AI Security October 30, 2026 news

Cursor extension compromise: check both affected versions and persistent SSH access

Cursor’s October 30 update identifies modified Claude Code extensions 2.1.312 and 2.1.313 for macOS and Windows distributed through its marketplace on October 29. The payload added an SSH key, installed persistence and reported host details. SSH setup often failed without elevated privileges. Cursor says it removed the packages and disabled the attacker server; uninstalling alone may leave persistence.