--- title: A2OSF, the Agentic AI Offensive Security Framework description: A2OSF is ZioSec's high-resolution taxonomy for classifying agentic AI attacks. One lossless record per finding, exported to OWASP, MITRE ATLAS, NIST AI RMF, ISO 42001, and the EU AI Act. url: https://ziosec.com/methodology --- # A2OSF: The Agentic AI Offensive Security Framework A2OSF is the multi-dimensional taxonomy ZioSec built to classify agentic AI attacks at full resolution. Think of it as the lossless RAW record of every finding. Our AI red team agent classifies what it finds in A2OSF, then exports a lower-resolution copy in whatever framework your team reports against. - Book a demo: https://ziosec.com/demo - See a sample report: https://ziosec.com/sample-report ## The highest-resolution record of an agentic attack A2OSF classifies every finding across three orthogonal dimensions: where it was exploited, how it was done, and why it matters to the business. That structure captures detail no single public framework holds, which is exactly what lets a finding be translated cleanly into any of them. A2OSF is not a standard you certify against, and it is not the engine that does the attacking. It is the schema the engine records its evidence in. ### Why it exists MITRE ATLAS, the OWASP agentic and LLM lists, NIST AI RMF, and ISO 42001 each describe part of the agentic attack surface at a resolution tuned to their own purpose. None is detailed enough to translate cleanly into the others. A finding that is one label in OWASP is five distinct techniques in practice, or has no home in NIST at all. We built A2OSF as the high-resolution superset so a single finding is expressed precisely once, then mapped down to any framework on demand. ### Dimension 1, Where: 8 attack layers The structural component of the agent where the vulnerability was exploited: Interface, Orchestration, Memory, Tooling, Multi-Agent, Identity and Access, Supply Chain, and the Human-Agent Boundary. Every finding is tagged with at least one layer, so you always know which part of the architecture to harden. ### Dimension 2, How: 10 tactics, 62 techniques The exact method used, from input manipulation and logic subversion to tool exploitation, memory poisoning, multi-agent attacks, identity and credential abuse, supply-chain compromise, human-trust exploitation, defense evasion, and persistence. Every technique carries a stable identifier and detection guidance, so findings are programmatically referenceable and repeatable. ### Dimension 3, Why it matters: 10 threat scopes The business risk a finding represents: unauthorized action, privilege escalation, data exfiltration, regulatory breach, cascading system failure, and more. This is the dimension that prioritizes remediation, and the dimension that aligns to the risk categories compliance frameworks already use. ### The RAW format: a lossless master, exported to lossy formats In photography terms, A2OSF is the RAW file. Every detail of the finding is preserved. OWASP, MITRE ATLAS, NIST AI RMF, ISO 42001, and the EU AI Act are the JPEG, PNG, and GIF exports: portable, familiar, and lower resolution by design. Because the A2OSF master is lossless, we can render any export your auditor, customer, or regulator needs without ever re-running the test. ### How ZioSec uses it: classify once, export anywhere Our AI red team agent classifies every finding in all three A2OSF dimensions as the campaign runs. When you need evidence in a specific framework, we down-sample the master record to exactly that target: every technique cross-maps to the OWASP Top 10 for Agentic Applications and MITRE ATLAS at the technique level, and the Threat Scope dimension aligns to the risk categories in NIST AI RMF, ISO 42001, and the EU AI Act. ## A2OSF v2.0 at a glance - **8 attack layers.** Interface through the human-agent boundary: the full structural attack surface of an agentic system. - **10 tactics, 62 techniques.** Every method an adversary uses against an agent, each with a stable ID and detection guidance. - **10 threat scopes.** Business-risk classification that maps directly to the compliance risk categories your auditors use. ## FAQ **Is A2OSF a competing standard?** No. A2OSF is a high-resolution classification taxonomy, not a standard you certify against. It sits above OWASP, MITRE ATLAS, NIST AI RMF, ISO 42001, and the EU AI Act and maps down to each. It complements them rather than competing with them. **Why not just use MITRE ATLAS or OWASP directly?** Each covers part of the agentic attack surface at a resolution tuned to its own purpose, and none is detailed enough to translate cleanly into all the others. A2OSF is the superset that can. Classify a finding once in A2OSF and you can export it accurately to any of them. **What does "lower the resolution" mean?** A2OSF records a finding across three dimensions and 62 technique IDs. When you need an OWASP or MITRE label, we collapse that detail to the closest control in that framework. The A2OSF record stays lossless, so producing a different export later costs nothing and requires no new testing. **Which frameworks does A2OSF map to today?** Every technique cross-maps to the OWASP Top 10 for Agentic Applications and MITRE ATLAS at the technique level. The Threat Scope dimension aligns to the risk categories in NIST AI RMF, ISO 42001, and the EU AI Act. Direct per-control tables for those compliance frameworks continue to expand. **Does my team have to learn A2OSF?** No. You receive evidence in the framework you already report against. A2OSF runs underneath so that evidence is precise, consistent, and reproducible. ## Related - The Platform: https://ziosec.com/platform - Sample Report: https://ziosec.com/sample-report - AI Compliance Coverage: https://ziosec.com/ai-compliance ## Contact - Email: info@ziosec.com - Phone: +1-720-807-2737 - Book a demo: https://ziosec.com/demo