Kihan Debuts Independent Authorization Framework for AI
Kihan, a new technology company, announced its formation and introduced a mathematically based architecture called Constitutional Computing, designed to make artificial intelligence governance enforceable at the point of execution.
Constitutional Computing is intended to prevent unauthorized AI agent actions before they affect enterprise systems. Jonathan Hirshon, co-founder and chief executive officer of Kihan, founded the San Francisco-based company and its current team of five to address what he describes as the gap between an AI agent’s ability to perform an action and its actual authority to do so.
“A system that can transfer $50 million, modify a production database or release confidential information shouldn’t be allowed to do so simply because it has access to the necessary tools,” Hirshon said. “Telling an AI to behave itself isn’t security. Authorization has to be independent of the AI, verifiable and enforceable before anything consequential happens.”
Research published by the Cloud Security Alliance in April 2026 found that 53% of surveyed organizations reported AI agents exceeding their intended permissions, while 47% experienced an AI-agent security incident in the preceding year.
Unlike conventional AI guardrails, which rely on instructions given to the model, Kihan’s architecture establishes an independent authorization system outside the AI itself. Each consequential action is evaluated against governing authority before execution, with a cryptographically verifiable permit bound to the specific operation. The executing tool verifies that permit before acting, according to the company.
“I’m privileged to work alongside a team with extraordinary experience building critical infrastructure at scale,” Hirshon said. “Together, we have the expertise to deliver these safeguards at a pivotal moment for AI.”
The architecture combines independent authority checks, execution permits bound to exact operations, and tool-side verification, with tamper-evident records of actions authorized, refused or referred for human approval, the company said.
Its Inktomi architecture (and yes, the name is an homage to that Inktomi) is designed for deployment across modern computing environments, with compliance-oriented capabilities addressing requirements associated with GDPR, HIPAA and other regulatory frameworks, the company said.
Forms Logic Partners With Orion To Streamline Advisor Transitions
Forms Logic, a cloud-based technology provider focused on advisor movement, has announced a collaboration with Orion to introduce a new capability supporting streamlined transitions for Orion’s advisor clients.
Orion will use components of Forms Logic’s Migrator solution, which gives advisors and transition teams a standardized process and additional safeguards as they move books of business onto the Orion platform.
As any advisor who has been through it can attest, migrating clients from one custodial or brokerage platform to another is often a fraught process that has traditionally required many steps and a complex mix of paper and digital events.
“Our work with Orion demonstrates how the right technology embedded into a large-scale wealth technology ecosystem can automate much of the operational heavy lifting and create a much more efficient experience,” Rick Burgess, CEO at Forms Logic, said in a prepared statement.
The technology is designed to reduce administrative friction, help transition teams manage activity at scale and allow advisors to spend less time on operational tasks, according to the companies.
Migrator organizes transition data, identifies and pre-populates required paperwork, automates workflows and provides real-time visibility into progress, reducing the manual work required to move accounts to a new platform.
The technology follows a six-step process: advisor introduction, contract completion, data capture, workflow creation, affiliation day and transition execution.
Forms Logic also offers Navigator, a platform that automates client onboarding and helps reduce not-in-good-order issues by integrating forms into digital, compliant workflows.
Founded in 2015, Forms Logic competes with several other transition support technology platforms and providers, including AI-driven startups such as Caddi, established providers such as Docupace, FusionIQ, Skience and others, as well as the tools provided by the custodians themselves.
Osaic Approves Nitrogen’s Full AI Suite for Advisors
Osaic has approved Nitrogen’s entire suite of advisor products, including all of its Nucleus AI capabilities, for use across its network of financial professionals.
The approval gives Osaic advisors access to all six Nitrogen products: Risk Center, Research Center, Income Center, Tax Center, Legacy Center and Insurance Center. Advisors can adopt the products that best fit their practices, with flexibility to add capabilities as their needs evolve.
At the center of the suite is Nucleus, Nitrogen’s agentic AI engine, announced in February, which connects products and completes tasks with advisor approval. Osaic advisors can turn client statements into portfolios, generate retirement income illustrations, and transform tax returns into visual insights.
The expanded access supports Osaic’s focus on advisor productivity, giving advisors technology intended to reduce time spent on manual tasks and create opportunities to attract new clients and deepen existing relationships, the companies said.
“Our financial professionals want AI they can put to work right away, and our job is to make sure it meets the standards their clients expect. Nitrogen’s commitment to security and responsible AI gave us the confidence to approve the full suite, AI included,” said Sayee Bellamkonda, chief AI and technology officer at Osaic in a prepared statement. “Now our advisors can put it to work winning new clients, deepening the relationships they have, and growing their businesses.”
In March, Nitrogen was the first provider in the advisor technology space to achieve ISO/IEC 42001 certification for responsible AI management.
