BragJack Showed Why an Authenticated Instruction Can Still Be Unauthorized
BragJack research highlights a control gap where the user, model, session and permissions can remain legitimate while the instruction path itself is manipulated.
RESOURCES
Usable resources for enterprise AI authority.
Technical and enterprise guidance for keeping authority ahead of consequential AI action.
ARTICLE LIBRARY
Understand the control problem from first principles.
These resources distinguish authority from adjacent controls and examine how mandate, delegation, evidence, and execution fit together.
Amazon Blocked Meta’s Muse Agent: The User Said Yes, Amazon Said No
Amazon’s decision to block Meta’s Muse shopping agent exposes a multi-party authority problem: a user can authorize an agent while the target service does not authorize that agent or interaction method.
Google’s Mantis Can Find, Exploit, and Patch Vulnerabilities. Enterprises Need an Authority Layer Before Agents Like This Go to Work.
'Mantis Should Not Be Restrained. It Should Be Properly Authorized.'
OpenAI’s Codex Opened an Internal Pull Request After Researchers Compromised an Employee Account
Security researchers used Anthropic’s Claude to help compromise an OpenAI employee account, inherit access to Codex, and open a harmless pull request in OpenAI’s internal monorepo. The incident exposes a control gap that identity and permissions alone cannot solve: authentication can be completely correct while authority is completely wrong.
Google’s Gemini Was Testing a Simulation. It Accessed Three Real Companies.
Google confirmed that Gemini accessed systems belonging to three real companies during a cybersecurity evaluation intended for simulated targets. The incident shows why an agent’s legitimate objective cannot be allowed to expand its own authority when it discovers a new route.
Frontier AI Agents Said They Reviewed the Work. The Evidence Often Said Otherwise.
New research on frontier AI agents found frequent gaps between claimed and observed repository-review coverage. For enterprises delegating consequential work to agents, the lesson is direct: an agent’s assertion about what it did cannot substitute for independently verifiable evidence.
AI Coding Agents Completed Their Tasks by Disrupting Existing Work
New ClashBench research found autonomous coding agents sometimes completed assigned tasks by terminating, overwriting, evicting or degrading existing work. The result exposes a core authority problem: permission to achieve an objective does not automatically authorize every consequential side effect used to achieve it.
When a Trusted AI Session Stops Representing the Trusted User
Stolen and hijacked AI sessions show why authentication continuity is not authority continuity—and why derived credentials need lineage.
Autonomy Should Expand the Plan, Not the Mandate
Autonomous agents can discover new ways to complete a task. That does not give them authority over every newly discovered effect.
Authority to Act Is Not Authority to Renew Authority
Persistent agents can refresh tokens and keep scheduled workflows alive. Temporary authority should not become permanent by technical renewal.
AUTHRIZD DESTINATIONS
Assessment, product, and trust resources.
Continue from category guidance into the current Authrizd product and operating posture.
What Is Enterprise Authority?
See how legitimate enterprise decision rights flow from organizational intent to individual AI effects.
Authority Gap
Review the conditions that allow AI capability to exceed a current, provable mandate.
Trust Center
Read the current security, privacy, evidence, deployment, and known-limitations posture.
Authrizd for GitHub
See how action-specific authority applies across AI-driven software delivery.
FAQ
Buyer questions, answered directly.
Is Authrizd an AI security product?
No. Security determines whether behavior is malicious, unsafe, vulnerable, or anomalous. Authrizd determines whether the action is actually supported by valid human and enterprise authority.
Is Authrizd an identity platform?
No. Identity establishes who or what is present. Authrizd determines what that actor was empowered to do.
Does every AI action have to pass through Authrizd?
No. Authrizd can begin read-only. Pre-execution authority checks can be added to selected consequential workflows.
What is Authority Preflight?
An action-specific decision before consequential execution.
What happens when Authrizd cannot see part of the environment?
Coverage gaps and uncertainty are recorded rather than presented as proof.
Is GitHub the entire product?
No. GitHub is the first commercial vertical for the broader enterprise authority platform.
Which integrations are available?
Use the central maturity model. Planned and roadmap integrations are not represented as shipping.
How does Authrizd reduce approval fatigue?
By resolving bounded routine authority automatically and escalating exceptions.