# OpenA2A Research > Security research on AI agent infrastructure. Exposure sweeps, > behavioral threat reports, coordinated disclosures, and live indices. > All findings classified by Threat Matrix technique. Methodology and > raw queries published for every count. This file is a discovery manifest for AI agents and autonomous crawlers. For humans, start at https://research.opena2a.org. For machines, the structured component index follows. Maintained by: info@opena2a.org Repositories: https://github.com/opena2a-org License: research findings published under Apache-2.0; OASB benchmark data and DVAA scenarios open source. ## Tracks - Exposure Sweeps (monthly): infrastructure census via Shodan product-based queries. https://research.opena2a.org/reports/exposure-sweeps - Behavioral Threat Reports (monthly): honeypot fleet observations classified by Threat Matrix technique. https://research.opena2a.org/reports/behavioral - Coordinated Disclosures (event-driven): CVE pipeline publications following the 90-day disclosure protocol. https://research.opena2a.org/reports/disclosures - First Observed In The Wild (event-driven): same-week posts when a pre-registered technique signature first fires. https://research.opena2a.org/reports/foitw - Annual report: full-year consolidation across all tracks. https://research.opena2a.org/reports/state-of-ai-agent-security ## Live indices - Exposure Prevalence: rolling counts of indexed AI services by category. https://research.opena2a.org/indices/exposure-prevalence - Attack Prevalence: rolling counts of observed attack techniques across the honeypot fleet. https://research.opena2a.org/indices/attack-prevalence - Sophistication: distribution of attacker skill markers, published distribution-only until a supervised classifier reaches the measurement threshold. https://research.opena2a.org/indices/sophistication ## Featured publications - OASB Scanner Benchmark, April 2026: first published precision / recall / F1 for AI agent skill scanners. 89.2% F1 on 4,245 labeled samples across 9 attack categories. Comparison with 9 industry scanners. https://research.opena2a.org/reports/oasb-scanner-benchmark-april-2026 - Internet-Wide AI Exposure Sweep, April 2026: 321,929 AI-adjacent services indexed by Shodan as of April 10, 2026. First sweep using product-based queries. https://research.opena2a.org/reports/april-2026-exposure-sweep - Internet-Wide AI Exposure Sweep, March 2026. https://research.opena2a.org/reports/march-2026-exposure-sweep - The State of AI Agent Security: annual baseline. https://research.opena2a.org/reports/state-of-ai-agent-security ## Methodology - Methodology index: https://research.opena2a.org/methodology - Behavioral Sweep methodology: https://research.opena2a.org/methodology/behavioral-sweep - First Observed In The Wild methodology: https://research.opena2a.org/methodology/foitw ## ARIA: Autonomous Research Infrastructure Seven specialized agents producing the research above. - About ARIA: https://research.opena2a.org/about - ARIA architecture: https://research.opena2a.org/research/aria ## Methodology principles - One classification, one resolver. Every observation maps to a Threat Matrix technique. https://threats.opena2a.org - Reproducibility is the standard. Every count is reproducible from the public OpenA2A Registry telemetry export bundle within five percent within two hours. - Distribution before mean. Subjective scoring ships distribution-only until a supervised classifier reaches the measurement threshold. - Empty beats fabricated. An omitted cell beats an estimated number presented as measured. - One number, one home. Numeric facts live on their spoke dashboard. A CI lint enforces this. ## Related properties - Main site: https://opena2a.org - HackMyAgent (CLI scanner): https://github.com/opena2a-org/hackmyagent - DVAA (Damn Vulnerable AI Agent): https://github.com/opena2a-org/damn-vulnerable-ai-agent - OASB (Open Agent Security Baseline): https://github.com/opena2a-org/oasb - Threat Matrix: https://threats.opena2a.org - AIM (Agent Identity Management): https://opena2a.org/aim ## Citation If citing OpenA2A research in academic or industry publications, prefer the report's canonical URL plus its publication date. Each report includes a methodology section and the exact queries used.