§40 · Lane 8 — Agent Infrastructure Standards & Toolchain
OWASP Top 10 for LLM Applications the taxonomy underpinning the Implicit Authority Cascade
OWASP Gen AI Security Project (2026) · OWASP LLM Top 10
Bibliographic data
- Title
- OWASP Top 10 for Large Language Model Applications (2026)
- Authors / Issuing body
- OWASP Foundation — OWASP Gen AI Security Project
- Venue / Publisher
- OWASP Foundation
- Year
- 2026
- Designation
- Standards Framework
- Licence
- CC BY-SA 4.0
- Canonical link
- https://genai.owasp.org/llm-top-10/
How to cite
OWASP Gen AI Security Project (2026). OWASP Top 10 for Large Language Model Applications (2026). OWASP Foundation. https://genai.owasp.org/llm-top-10/.
OWASP enumeration of the ten most critical security risks for LLM-integrated applications across the build, deploy and manage lifecycle. 2026 edition; LLM01:2026 Prompt Injection through LLM10:2026 Improper Output Handling.
Why it matters for NETEVO
The OWASP LLM Top 10 is the community-curated failure-mode taxonomy for LLM-integrated applications. The 2026 edition, published in August 2026, enumerates the ten most critical security risks across the build, deploy and manage lifecycle: LLM01 Prompt Injection, LLM02 Sensitive Information Disclosure, LLM03 Excessive Agency, LLM04 Supply Chain, LLM05 Data and Model Poisoning, LLM06 Unbounded Consumption, LLM07 Misinformation, LLM08 Hidden Context Exposure, LLM09 Vector and Embedding Weaknesses, and LLM10 Improper Output Handling.
Two entries map directly onto the Implicit Authority Cascade (IAC). LLM01 Prompt Injection names the failure mode in which an attacker reaches across the prompt boundary to redirect the agent; LLM03 Excessive Agency names the failure mode in which the agent is granted more authority than the task requires. The first describes how unintended instructions reach an agent; the second describes the surplus authority that makes those instructions consequential.
Excessive Agency rose three places in the 2026 edition, the largest upward move on the list. That direction of travel matters: it is community-standard corroboration that unbounded authority, rather than model quality, is where agentic deployments fail. The 2026 edition also draws an explicit boundary between the model as a component inside an application, which this list covers, and the model as an actor with tools, memory and downstream consequences, which it routes to the OWASP Top 10 for Agentic Applications.
A note on identifiers. The 2026 edition renumbered most of the list. Excessive Agency moved from LLM06 to LLM03, and System Prompt Leakage was broadened and renamed Hidden Context Exposure at LLM08. Because the old numbers were reused rather than retired, a citation carrying a 2025 identifier against the 2026 list reads as wrong rather than as missing. Any reference to a specific entry should state the edition it belongs to.
Where NETEVO applies this
- Agent Infrastructure Whitepaper — load-bearing — four-dimension architecture maps to LLM02, LLM03, LLM08, LLM09 in 2026 numbering
- AI Governance in ANZ 2026 Whitepaper — supporting — LLM-specific risk framing
Who acts on this
Reading this usually means something has forced the question — a listing, an audit finding, a procurement questionnaire, a regulator's letter. The role pages below set out what NETEVO does about it, including where we would tell you not to engage.