Draft:Fencio
Submission declined on 11 March 2026 by Quinntropy (talk). This draft appears to contain text generated by a large language model (such as ChatGPT). You cannot use LLMs to generate article content.
LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice. Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. See the advice page on large language models for more information.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
Comment: In accordance with Wikipedia's Conflict of interest guideline, I disclose that I have a conflict of interest regarding the subject of this article. ~2026-15277-98 (talk) 09:11, 11 March 2026 (UTC)
Fencio
Fencio is an AI infrastructure company that develops runtime control and security systems for autonomous AI agents. The company builds software designed to monitor, enforce deterministic policies, and control the actions of AI agents operating in production environments.
Fencio provides a control plane for AI agents, enabling organizations to govern how agents access tools, APIs, databases, and external services. The platform is designed to reduce operational risk associated with autonomous systems, including unintended actions, unsafe tool usage, and unauthorized system interactions.
Fencio’s technology focuses on deterministic runtime enforcement, allowing enterprises to define rules that AI agents must satisfy before executing actions.
Overview
AI agents powered by large language models increasingly perform autonomous tasks such as calling APIs, executing transactions, and managing workflows. Unlike traditional software systems, AI agents make probabilistic decisions about which actions to perform.
Fencio provides infrastructure designed to control and monitor AI agent behavior during execution. Its platform acts as a policy enforcement layer between AI agents and the tools they interact with, enabling organizations to maintain oversight of autonomous systems in production environments.
The company’s approach focuses on runtime governance, ensuring that agent actions comply with defined policies before they are executed.
History
Fencio was founded by Aashish Bharadwaj and Siddhartha Roy to address safety and operational challenges associated with deploying AI agents in production systems.
The company emerged during the rapid adoption of Large language model-based agents capable of interacting with external systems. As organizations began integrating agents into real-world workflows, concerns increased around security, reliability, and unintended autonomous behavior.
Fencio raised pre-seed funding backed by Entrepreneurs First.
References
Content Disclaimer
Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.
- The information displayed on this website is sourced in part or in whole from Wikipedia and has been adapted for the purpose of restating it. We strive to provide accurate and relevant information, however:
- There is no guarantee of absolute accuracy. Wikipedia is an open, collaborative project that can be edited by anyone, so information is subject to change.
- It is not intended to constitute professional advice. The content displayed is for informational and educational purposes only. For important decisions (e.g., medical, legal, or financial), please consult a professional.
- Content copyright. Wikipedia is licensed under the Creative Commons Attribution-ShareAlike License (CC BY-SA). This means that content may be reused with appropriate attribution and shared under a similar license.
- Responsible use. Any risk arising from the use of information from this website is entirely the responsibility of the user.

- provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles;
- are reliable: from reputable outlets with editorial oversight;
- are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content.
Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia.