Asenion ControlGen transforms compliance requirements into reusable control objectives, then contextualizes them into organization-specific, machine-executable controls that can be verified and evidenced. Every control is versioned and cited back to the clause it implements.
Schedule a Call30 minutes with our AI compliance team. Bring a regulation or policy you need to operationalize.
Asenion has developed a methodology and system for transforming heterogeneous compliance requirements into reusable control objectives, then contextualizing and operationalizing those objectives into organization-specific controls that can be verified and evidenced.
Policy-aware tells you what the source requires. Context-aware tells you where and under what conditions it applies. Intent-aware tells you what your organization wants to achieve, and why. Context captures the circumstances; intent captures the organization’s purpose and desired outcome. Control objectives turn both into a reusable, testable outcome, and controls define what you will implement to achieve it.
That is where compliance becomes operational, and where years of experience matter. Anyone can ask an LLM to generate a control. Knowing whether that control is actually fit for purpose for a particular organization is a very different problem.
For more than a decade, Asenion’s work has been focused on that problem: translating the language of regulation, policy and risk into controls that can be implemented, verified and evidenced in real organizations.
From the language of compliance to the language of machines.
Hiring AI used in the U.S., traced from the authoritative source to the evidence an auditor will ask for.
“We want meaningful human oversight before AI influences a hiring decision, so every candidate is treated fairly.”
“Ensure human oversight is required before an AI-assisted employment decision is finalized.” Different organizations can arrive at the same control objective from different intent.
Control objective: ensure human approval is required before an AI-assisted hiring decision.
Two-person approval for every candidate rejection.
One qualified recruiter must review and approve each AI recommendation.
AI can rank candidates but cannot execute the final rejection.
Regulations and policies are written for people. ControlGen's policy-to-code approach turns them into control objectives and operational controls that can be assessed, verified and consulted at runtime.
ControlGen works from the requirement itself and cites the clause each control implements, so every control traces back to its source.
Start from the EU AI Act, ISO/IEC 42001 or NIST AI RMF, or bring your internal AI, model risk, privacy and security policies and bespoke requirements.
Each control is classified by how it must be governed, so it lands in the right place: an assessment question, a quantitative verification or runtime guidance.
Controls are versioned with a tamper-resistant history, so you can show which version applied, when it changed and why.
ControlGen assists your policy, risk and compliance teams. They review and approve controls before anything is put to work.
A ControlGen control is more than a sentence. It carries what your teams need to act on it and what auditors need to check it.
Controls can take multiple-choice, checkbox, text, test-score, document-upload or card-based answers, so each requirement is captured in the form that proves it.
Every control links to the requirement it implements, so reviewers can see exactly why it exists.
Controls can show only when they apply to a use case, and can be assigned to the right owner in your review workflow.
Controls roll up into control bundles, such as data governance or transparency, that contribute to an overall policy score.
The controls ControlGen produces are packaged as Policy Packs, then assessed, verified and witnessed across the AI lifecycle.
Controls are organized into ready-to-use packs for a regulation, standard or your own policy.
Explore Policy Packs →The same controls drive lifecycle assessments in Asenion Assess and pre-deployment verificaqtion in Asenion Verify.
Explore Asenion Assess →AI agents consult the applicable controls before they act, and Asenion Witness records what happened.
Explore Asenion Witness →Policy-to-code turns the written text of a regulation, standard or internal policy into structured, machine-readable controls. Those controls can then be assessed, verified and applied to AI systems and agents, instead of living only in documents.
Policy-as-code usually means engineers hand-writing technical rules for infrastructure. Policy-to-code starts from compliance requirements and produces controls that compliance, risk and engineering teams share, each cited back to its source clause.
AI regulations such as the EU AI Act, standards such as ISO/IEC 42001 and NIST AI RMF, industry frameworks, contracts, and your own AI, model risk, privacy and security policies.
Your people. ControlGen assists your policy, risk and compliance teams, who review and approve every control before it is used in assessments, verification or runtime guardrails.
Controls that reflect where and under what conditions a requirement applies (the jurisdiction, use case, users, data and environment) and what your organization wants to achieve, and why (its policies, risk appetite and business requirements). ControlGen uses both to turn reusable control objectives into organization-specific controls.
Anyone can ask an LLM to generate a control. Knowing whether that control is fit for purpose is a different problem. ControlGen encodes more than a decade of Asenion experience translating regulation, policy and risk into controls that can be implemented, verified and evidenced, and your experts approve every control.
The normalized, testable outcome a control must achieve, such as “ensure employment decisions are not made solely by automated AI output.” Intent is organization-specific; the control objective is reusable. Different organizations can share the same objective and implement it with different controls.
ControlGen turns compliance source material into structured, reusable compliance knowledge. Policy Packs package that knowledge for repeatable use across AI systems and organizations.
In 30 minutes we'll take a regulation, standard or internal policy you care about and show the control objectives and controls ControlGen produces from it.
Schedule a CallNo preparation needed.
