Our next round of R&D: Agent-to-Agent Digital Consent
27 Jan 2026
Few years ago, work at ID Side began with a fundamental question: How do we move from GDPR transparency and compliance to REAL individual control, notably online? From trust (controlled by providers) to humanly controlled digital settings?
Today, next Frontier for Digital Consent is Not Human. It's (AI) Agent-to-Agent. The question is no longer just "Did the user click 'agree'?" but "Is this agent's action within the bounds of its delegated authority, and can that authority be proven and revoked in real-time?"
In the age of programmatic advertising, our approach built on deep R&D and an essential patent portfolio in dynamic, user-centric consent frameworks. That chapter of R&D in digital advertising is now complete.
But, since filing our patent in 2020, the landscape has been shifting beneath our feet. And the next great interaction layer isn't between humans and systems, it’s between autonomous AI agents.
These agents (our personal assistant, a corporate negotiator, a supply chain optimizer) will act on our behalf, making decisions, transacting, and negotiating with other agents. How do we ensure these interactions are authorized, ethical, and aligned with one specific human intent? The old models of consent break down entirely.
This is why in the next few months, we will be pivoting our entire R&D focus to the AI Agent Interaction Layer.
The core principles we patented (i.e. provisional consent, real-time revocation, strong de-identification) are not just relevant in this field: they are foundational for this new world. Our ground work (like our patent on consent framework apparatus and methods) provides the architectural blueprint for extending trust into the age of autonomy.
Let's now build the protocols and frameworks to manage consent, delegation, and liability in agentic AI ecosystems. We’re excited to tackle this MASSIVE and unsolved challenge at the intersection of AI, law, and human-computer interaction head-on. If you are interested in the future of trustworthy autonomous systems, let's connect. We're looking to collaborate with pioneers in AI, Agentic AI, Privacy Engineering, agent frameworks, policy, and enterprise architecture.
Today, next Frontier for Digital Consent is Not Human. It's (AI) Agent-to-Agent. The question is no longer just "Did the user click 'agree'?" but "Is this agent's action within the bounds of its delegated authority, and can that authority be proven and revoked in real-time?"
In the age of programmatic advertising, our approach built on deep R&D and an essential patent portfolio in dynamic, user-centric consent frameworks. That chapter of R&D in digital advertising is now complete.
But, since filing our patent in 2020, the landscape has been shifting beneath our feet. And the next great interaction layer isn't between humans and systems, it’s between autonomous AI agents.
These agents (our personal assistant, a corporate negotiator, a supply chain optimizer) will act on our behalf, making decisions, transacting, and negotiating with other agents. How do we ensure these interactions are authorized, ethical, and aligned with one specific human intent? The old models of consent break down entirely.
This is why in the next few months, we will be pivoting our entire R&D focus to the AI Agent Interaction Layer.
The core principles we patented (i.e. provisional consent, real-time revocation, strong de-identification) are not just relevant in this field: they are foundational for this new world. Our ground work (like our patent on consent framework apparatus and methods) provides the architectural blueprint for extending trust into the age of autonomy.
Let's now build the protocols and frameworks to manage consent, delegation, and liability in agentic AI ecosystems. We’re excited to tackle this MASSIVE and unsolved challenge at the intersection of AI, law, and human-computer interaction head-on. If you are interested in the future of trustworthy autonomous systems, let's connect. We're looking to collaborate with pioneers in AI, Agentic AI, Privacy Engineering, agent frameworks, policy, and enterprise architecture.