The HTTPS of AI Agents: Securing Every Action Before Execution

The HTTPS of AI Agents: Securing Every Action Before Execution ⬇ Download the complete ZIP package below. The abstract on this page is a summary. The engineering evidence is in the files. The problem in one sentence An AI agent can send a request over valid HTTPS, carry a valid OAuth token, and come from an authenticated identity, yet still execute the wrong payment amount, the wrong destination, a revoked permission, a replayed request, or an injected instruction. By the time monitoring catches it, the damage may be irreversible. The proposed answer An execution-finality security layer that works alongside HTTPS, OAuth, and identity systems. A consequential action stays non-effective until a protected authority checks the exact pending operation (identity, purpose, destination, parameters, current policy, revocation, freshness, permitted use) and issues action-specific, single-use authorization evidence. The final execution boundary verifies that evidence against the actual action. Anything altered, expired, replayed, revoked, or mismatched fails closed, and alternative paths to the same consequence must also be mediated. HTTPS protects the connection. This layer protects the final act of execution. What you get in the ZIP and not on this page The ZIP contains the full technical disclosures: mechanisms, embodiments, architectural variations, and dated source records. Inside, you can examine: AI agents and MCP/tool calls: stopping unauthorized actions even when the agent holds valid credentials Execution-time authorization: validating the exact pending action, not just an earlier approval Cryptographic enforcement: single-use, non-bearer authorization bound to the executing system Cloud and API security: enforcement at gateways, execution boundaries, and control planes Payments: verifying amount, recipient, context, freshness, and replay protection before funds move Telecom and critical infrastructure: finality checks on network commands and physical devices Comparison with HTTPS, OAuth, and access control: where this layer differs and where it doesn't Prior-art and patent review: dated disclosures you can check against WIPO publications You don't need to read everything. Pick the area that matches your work. How to use the package Download and extract the ZIP, keeping filenames and folders intact. Start with the README or overview. Open the disclosures relevant to your field. For AI-assisted review, load the files into a multi-document workspace. If 00_READ_FIRST_AI_INSTRUCTIONS.md is included, read it first. Challenge the design: look for missing assumptions, weak points, and alternative implementations, and verify key claims against the source documents and WIPO records. Critical findings are welcome. The files are provided so conclusions can be traced to evidence, not taken from a summary. ⬇ Download the complete ZIP package to see how it actually works. KeywordsAI agent security; agentic AI; execution-finality; action-level authorization; execution-time enforcement; tool-call security; MCP security; prompt injection mitigation; cryptographic authorization; non-bearer capability; single-use authorization; reference monitor; policy enforcement point; replay prevention; revocation; TOCTOU resistance; fail-closed enforcement; bypass prevention; zero trust; HTTPS; TLS; OAuth; payment security; cloud control plane; network egress; telecommunications security; critical infrastructure; AI governance; autonomous systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23730223
Primary Topic
Access Control and Trust
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

The HTTPS of AI Agents: Securing Every Action Before Execution

Sangam Das
2 links
Zenodo (CERN European Organization for Nuclear Research)
Access Control and Trust
article

The HTTPS of AI Agents: Securing Every Action Before Execution

Sangam Das
article en

Abstract

The HTTPS of AI Agents: Securing Every Action Before Execution ⬇ Download the complete ZIP package below. The abstract on this page is a summary. The engineering evidence is in the files. The problem in one sentence An AI agent can send a request over valid HTTPS, carry a valid OAuth token, and come from an authenticated identity, yet still execute the wrong payment amount, the wrong destination, a revoked permission, a replayed request, or an injected instruction. By the time monitoring catches it, the damage may be irreversible. The proposed answer An execution-finality security layer that works alongside HTTPS, OAuth, and identity systems. A consequential action stays non-effective until a protected authority checks the exact pending operation (identity, purpose, destination, parameters, current policy, revocation, freshness, permitted use) and issues action-specific, single-use authorization evidence. The final execution boundary verifies that evidence against the actual action. Anything altered, expired, replayed, revoked, or mismatched fails closed, and alternative paths to the same consequence must also be mediated. HTTPS protects the connection. This layer protects the final act of execution. What you get in the ZIP and not on this page The ZIP contains the full technical disclosures: mechanisms, embodiments, architectural variations, and dated source records. Inside, you can examine: AI agents and MCP/tool calls: stopping unauthorized actions even when the agent holds valid credentials Execution-time authorization: validating the exact pending action, not just an earlier approval Cryptographic enforcement: single-use, non-bearer authorization bound to the executing system Cloud and API security: enforcement at gateways, execution boundaries, and control planes Payments: verifying amount, recipient, context, freshness, and replay protection before funds move Telecom and critical infrastructure: finality checks on network commands and physical devices Comparison with HTTPS, OAuth, and access control: where this layer differs and where it doesn't Prior-art and patent review: dated disclosures you can check against WIPO publications You don't need to read everything. Pick the area that matches your work. How to use the package Download and extract the ZIP, keeping filenames and folders intact. Start with the README or overview. Open the disclosures relevant to your field. For AI-assisted review, load the files into a multi-document workspace. If 00_READ_FIRST_AI_INSTRUCTIONS.md is included, read it first. Challenge the design: look for missing assumptions, weak points, and alternative implementations, and verify key claims against the source documents and WIPO records. Critical findings are welcome. The files are provided so conclusions can be traced to evidence, not taken from a summary. ⬇ Download the complete ZIP package to see how it actually works. KeywordsAI agent security; agentic AI; execution-finality; action-level authorization; execution-time enforcement; tool-call security; MCP security; prompt injection mitigation; cryptographic authorization; non-bearer capability; single-use authorization; reference monitor; policy enforcement point; replay prevention; revocation; TOCTOU resistance; fail-closed enforcement; bypass prevention; zero trust; HTTPS; TLS; OAuth; payment security; cloud control plane; network egress; telecommunications security; critical infrastructure; AI governance; autonomous systems.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Access Control and Trust
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