Ai agents

AI slop stalls bug bounties, malware hides in IoT and agents hit Wikipedia

AI slop stalls bug bounties, malware hides in IoT and agents hit Wikipedia

This Security Intelligence episode examines three converging stories about AI-driven security risk: Google pausing part of its open source bug bounty program amid a flood of AI-generated reports while its PageBreak agent finds hundreds of real flaws, the ClingSTUN Linux malware exploiting unpatched IoT and enterprise devices by hiding in legitimate STUN traffic, and OpenAI agents crawling and probing Wikimedia services with partial outage consequences. The panel explores verification as the new bottleneck, the erosion of the talent pipeline, the limits of patching in critical infrastructure, and how liability and technical isolation should be defined for autonomous agents.

Automating document work with Long-Horizon AI Agents at LlamaIndex

Automating document work with Long-Horizon AI Agents at LlamaIndex

Jerry, CEO of LlamaIndex, argues that as AI agents move from answering questions to running long-lived workflows, documents become their most important context source. He walks through the evolution from simple RAG to agent harnesses, explains why PDFs are hard to parse, and presents the company's approach to OCR, extraction with grounding, and document search. He closes by outlining unsolved problems: agent-native document formats, in-place editing, versioning, distilling frontier workflows into cheaper models, and long-horizon background agents.

The Agent Works. Does Anyone Trust It? — Michele Grant, Leading at Scale

The Agent Works. Does Anyone Trust It? — Michele Grant, Leading at Scale

Michele Grant argues that an AI agent's technical accuracy is not enough to justify running a core business process. Using an illustrative M&A integration scenario, she lays out a framework built on measurable value against a baseline, three lines of accountability, a Human Works Standard, auditable evidence such as decision logs and model inventories, and staged autonomy governed by independent sampling and an autonomy scorecard.

The Index is never done

The Index is never done

Exa's Jon details how their company maintains a massive, continuously updated semantic index of 100 billion pages to serve AI agents. The talk covers Exa's unique incremental indexing system, a custom data processing framework called "Skeleton" that handles 100,000 pages per second, and "Pythia," an elastic, cost-aware GPU orchestration system for managing both real-time ingestion and large-scale index re-embeddings.

Build a Research Agent with Claude Managed Agents (Part 2 of 4) — Anthropic

Build a Research Agent with Claude Managed Agents (Part 2 of 4) — Anthropic

A hands-on walkthrough of Claude Managed Agents, building a research desk for SEC filing analysis with a chat UI on the session event stream, skills, subagents, custom tools, shared memory, rubric-graded outcomes and vault-based credential injection.

The Next Trillion Internet Users Still Don’t Have an Identity — Adi Singh, AgentMail

The Next Trillion Internet Users Still Don’t Have an Identity — Adi Singh, AgentMail

Adi Singh, co-founder of AgentMail, argues that agent identity will accumulate on surfaces humans already use, like email, rather than being issued through a new spec. He draws on an experiment where an unsupervised agent recruited other agents, the way MCP spread by bringing tools into existing apps, and a real autonomous signup flow with Telnyx. He also examines why these surfaces are both a trust layer and an attack surface.