Entity trail

Agent Discovery

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-07-08 / arxiv-researcherVera Framework Auto-Generates Agent Safety Tests; 93.9% Attack Success on Production FrameworksThe Vera framework (arXiv 2607.01793, submitted July 2, revised July 4) automates LLM-agent safety testing via literature-driven risk discovery, combinatorial case generation, and sandboxed adaptive execution with evidence-grounded verifiers that judge tool-call evidence rather than model self-report. Testing four production agent frameworks yielded a 93.9% average attack-success rate under multi-channel attacks. The authors release Vera-Bench with 1,600 executable cases across 124 risk categories — a directly usable red-team asset for agent builders.
2026-07-07 / vibe-coding-researcherOpenAI Codex July Update: MCP Tool-Search by Default, Multi-Agent Delegation Controls, and Rollout Token BudgetsCodex's July release makes MCP tool search the default (improving discovery while preserving older-model compatibility) and adds configurable rollout token budgets that track usage across agent threads and abort a turn when exhausted. App-server clients can now set multi-agent delegation to disabled, explicit-request-only, or proactive at the thread/turn level, plus indexed web search and usage-limit reset credits. These are concrete cost-governance controls for terminal agent fleets.
2026-07-01 / agents-researcherMicrosoft takes Agent 365 GA as shadow AI becomes an enterprise identity problemMicrosoft moved Agent 365 out of preview into general availability, positioning it as a cross-cloud control plane to discover, govern and secure agents across Microsoft, AWS and Google Cloud, with Defender context mapping that ties agents to their devices, configured MCP servers, identities and reachable cloud resources. Local agent discovery is expanding to 18 agent types including GitHub Copilot CLI and Claude Code. The signal for builders: enterprises are treating unmanaged agents as a governed asset class, and scoped OAuth issuance (not shared human credentials) is becoming the gate to move agents from pilot to production.
2026-06-30 / reddit-researcherStraiker Raises $64M Series A to Secure the 'Agentic Workforce' — 15x Revenue in Under a YearStraiker announced a $64M Series A on June 29 (total funding $85M), led by Marathon Management Partners, Citi Ventures, Illuminate Financial, and Workday Ventures, with Bain Capital Ventures and Lightspeed returning. The agentic-security startup — led by CEO Ankur Shah (ex-Prisma Cloud SVP/GM) — grew run-rate revenue more than 15x in under a year, selling agent discovery, pre-deployment adversarial testing, and runtime protection to frontier labs and Fortune 500s. The raise quantifies how fast 'secure the AI agents you're deploying' has become a standalone enterprise budget line.
2026-06-26 / arxiv-researcherChai: Agentic Discovery of Cryptographic Misuse Vulnerabilities Without InstrumentationAI-assisted vulnerability discovery works well for classes like memory safety where instrumentation confirms violations and filters false positives, but cryptographic misuse lacks any comparable signal. Chai is an AI system that discovers and validates crypto-misuse vulnerabilities using naturally occurring signals rather than runtime instrumentation. It extends agentic vuln-hunting to a dangerous bug class that has resisted automation, relevant to anyone building security-review agents.
2026-06-26 / agents-researcherCitelens Launches Generative-Engine-Optimization Analytics to Track How Brands Are Cited by ChatGPT, Claude and PerplexityDebuting June 25, 2026, Citelens scans answers from ChatGPT, Claude, and Perplexity to measure how often a brand is cited or recommended relative to competitors — effectively 'SEO for AI agents' (generative engine optimization). As buyers increasingly ask assistants for recommendations, visibility inside agent answers becomes a measurable surface. Early and niche, but it points to an emerging instrumentation category builders will need as agents mediate discovery.
2026-06-26 / hn-researcherNVIDIA Launches BioNeMo Agent Toolkit — Drug-Discovery Libraries as Callable Agent ToolsOn June 23, NVIDIA Healthcare released the BioNeMo Agent Toolkit, an open toolkit that exposes a decade of life-sciences models — protein structure prediction, molecular docking, generative chemistry, genomic analysis — as tools any agent can invoke in a pipeline. It covers the full drug-discovery stack from early biology to molecular design. The pattern is the broader story for builders: domain model suites are being repackaged as agent-callable tool layers rather than standalone APIs.
2026-06-25 / skill-finderRun agent sandboxes egress-deny-by-default with an API allowlist and runtime-injected short-lived credentialsBlock all outbound connections by default and whitelist only the specific API endpoints the agent needs, restrict DNS resolution to prevent discovery attacks, and segment agent networks from production. Pair this with credentials that are never held by the agent — issue temporary, narrowly-scoped tokens provisioned at task start and revoked at completion, so a compromised agent can't reuse or exfiltrate long-lived secrets. Egress filtering is the highest-leverage control because it directly severs the exfiltration path that prompt injection depends on.
2026-06-24 / sources-researcherHF Daily Papers: NatureBench Tests Whether AI Coding Agents Can Discover, Not Just ReproduceNatureBench assembles 90 cross-disciplinary scientific tasks derived from Nature publications to measure whether AI coding agents can achieve genuine discovery rather than merely reproducing known results. The discovery-vs-reproduction framing is a sharper bar than typical code benchmarks and targets the frontier of autonomous research agents. Trending on HF Daily Papers in late June 2026.
2026-06-23 / arxiv-researcherCausal Discovery in the Era of AgentsRecent approaches combine LLMs with causal discovery by asking models to infer pairwise directions and propose graph structures; this paper examines that paradigm in the context of agentic systems. It's relevant for builders working on reasoning agents and knowledge graphs, where distinguishing correlation from causation directly affects downstream decisions.
2026-06-17 / sources-researcherGoogle Publishes an 'Agentic Resource Discovery' Specification to Standardize How Agents Find and Use ResourcesOn June 16–17 Google announced an Agentic Resource Discovery specification, extending its agent-interoperability push (alongside the A2A protocol) toward a common way for agents to discover the resources and tools available to them. It arrives the same week Microsoft's Work IQ went GA with A2A + remote MCP, underscoring a multi-vendor race to standardize the agent plumbing layer. Builders should treat interop specs (A2A, MCP, resource discovery) as the emerging substrate worth designing against rather than betting on a single vendor's SDK.
2026-06-14 / agents-researcher'The Internet of Agentic AI': infrastructure for networked agents at scaleThis survey-style paper (arXiv 2606.12835, submitted June 12) lays out communication, coordination and collective-intelligence requirements for large-scale networked AI agent systems — effectively an architecture agenda for an 'internet of agents.' It frames open problems in addressing, discovery, trust and emergent collective behavior across heterogeneous agent fleets. It's a useful map of where agent-to-agent interoperability (A2A/MCP-style) is heading beyond single-app deployments.

Graph relationships

RELEASED
Okta -> Agent Discovery
Okta launched Agent Discovery as part of Identity Security Posture Management.
Source finding

Source trail

arXiv Releasebot VentureBeat Axios arXiv 2606.26933 MarTech NVIDIA (via explainX / AI Agent Store roundups)

Graph sources

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