> ## Content Index > Fetch the complete content index at: https://www.cybrsecmedia.com/llms.txt > Use this file to discover other available public pages before exploring further. # Singulr AI Targets the Growing Enterprise AI Control Gap - URL: https://www.cybrsecmedia.com/singulr-ai-targets-the-growing-enterprise-ai-control-gap/ - Published: 2026-09-03T12:12:43.000Z - Updated: 2026-09-03T12:14:37.000Z - Description: CYBR.SEC.CON LaunchPad finalist Singulr AI is tackling the enterprise AI control gap with runtime governance, security and controls designed to let companies adopt AI and agents without losing visibility or control. - Author: Bill Brenner - Tags: LaunchPad, CYBR.SEC.CON, AI Security, Article Five cybersecurity startups. A panel of CISOs, investors, marketing and revenue leaders. And a chance to prove that what they've built can solve a problem security practitioners actually care about. That's the idea behind **LaunchPad**, the startup competition making its debut at CYBR.SEC.CON 2026 in Houston Sept. 15-16. As we outlined when we introduced the five finalists, LaunchPad is designed to give promising early-stage cybersecurity companies something they don't always get: direct exposure to the people who buy, use, evaluate, fund and help bring security products to market. **Full LaunchPad coverage:** [CYBR.SEC.CON LaunchPad: 5 Cybersecurity Startups to WatchFive early-stage cybersecurity companies will pitch before CISOs, investors, marketing and revenue leaders at the CYBR.SEC.CON 2026 LaunchPad competition in Houston.![](https://storage.ghost.io/c/ab/67/ab676516-71e3-473d-8f73-9e0692f5aaee/content/images/icon/CYBR.SEC.Media-Logo-copy-4f64b38b-392e-46dd-83c9-25aecc3bedb0.jpg)CYBR.SEC.MediaBill Brenner![](https://storage.ghost.io/c/ab/67/ab676516-71e3-473d-8f73-9e0692f5aaee/content/images/thumbnail/FINALISTS-634c5a5d-c1dd-4292-80d5-0af6a7c61aa4.png)](https://www.cybrsecmedia.com/cybr-sec-con-launchpad-puts-five-cybersecurity-startups-to-the-test/) **Full CYBR.SEC.CON coverage:** [CYBR.SEC.CON 2026: News, Speakers, Agenda & CoverageFollow CYBR.SEC.CON 2026 in Houston with the latest news, speakers, keynotes, agenda, cybersecurity tracks, AI.SEC.CON highlights, interviews and event coverage.![](https://storage.ghost.io/c/ab/67/ab676516-71e3-473d-8f73-9e0692f5aaee/content/images/icon/CYBR.SEC.Media-Logo-copy-6126baac-e92b-45bf-bfcc-2b49136157e3.jpg)CYBR.SEC.MediaBill Brenner![](https://storage.ghost.io/c/ab/67/ab676516-71e3-473d-8f73-9e0692f5aaee/content/images/thumbnail/42601a79-4e56-4e1b-8342-c02f537cefcd-ee687910-97ca-4831-967b-bcfbb9a4216d.png)](https://www.cybrsecmedia.com/cybr-sec-con-2026-news-speakers-agenda-and-coverage/) The five finalists will pitch their companies during CYBR.SEC.CON, where they'll be evaluated on the problem they're solving, the strength of the technology, market opportunity, differentiation and their ability to turn an idea into a sustainable cybersecurity business. But a pitch can only tell you so much. So ahead of CYBR.SEC.CON, CYBR.SEC.Media is profiling each of the five LaunchPad finalists individually. We're asking the founders what problem pushed them to build their companies, who they're building for, what separates their approach from what's already on the market and what success looks like from the perspective of the security practitioner. Next up is [**Singulr AI**](https://singulr.ai/?ref=cybrsecmedia.com), where Co-Founder and CEO Shiv Agarwal is focused on what the company calls the **AI control gap**: the difference between how an organization intends its AI and agentic AI systems to behave and what those systems actually do at runtime. It's a gap that is getting harder to ignore. Enterprise AI adoption has moved well beyond employees opening ChatGPT in a browser. Organizations now have coding assistants, embedded AI capabilities, desktop tools, agents, MCP servers and other AI technologies appearing across their environments. And as adoption accelerates, security and governance teams are trying to establish control over an ecosystem that's changing faster than traditional governance processes were designed to handle. Singulr's premise is that another point security product isn't enough. Instead, the company is building what Agarwal describes as an end-to-end AI assurance layer spanning runtime governance, runtime controls and runtime security. Singulr also integrates with existing security technologies, with the goal of turning fragmented policies and controls into a unified approach to governing AI across the enterprise. The scale of the problem can become apparent quickly. In one customer environment, Singulr says it found roughly a dozen AI coding tools where the company believed it had standardized on one, more Grammarly AI users than expected, more than 1,000 embedded AI modules and approximately 900 agents operating without adequate guardrails. For Agarwal, however, the goal isn't to stop that adoption. It's to give security teams enough visibility and control to enable it safely — and ultimately change security's role from the department saying no to the team helping the business figure out how to say yes. Here's our Q&A with Singulr AI Co-Founder and CEO Shiv Agarwal. [Subscribe to the CYBR.SEC.Media newsletter](#/portal/signup/free) ## What problem did you see in the market that convinced you this company needed to exist? **Shiv Agarwal:** We identified what we call the AI control gap: the difference between the behavior organizations intend to achieve with AI and agentic AI and what actually happens at runtime. As AI adoption accelerates, security and governance programs are struggling to keep pace. Existing controls are fragmented, lack context and are not sufficient to address emerging AI risks. Organizations need a way to balance innovation with risk reduction, and that's the gap Singulr was created to fill. ## Who is the ideal customer for your solution? **Shiv Agarwal:** Our ideal customers are enterprises that are embracing AI rather than trying to block it. Every organization wants to move faster, innovate more and gain competitive advantage through AI, but they also need the right controls in place to do so safely. We work primarily with CISOs, CIOs and their teams who are looking for enterprise-wide visibility, governance and control across AI and agentic AI deployments. ## What makes your approach different from other security vendors? **Shiv Agarwal:** Most AI security vendors focus on a single problem, such as AI firewalls, red teaming or model security. Singulr provides an end-to-end AI assurance layer built on three integrated pillars: runtime governance, runtime controls and runtime security. We also integrate with existing security investments rather than replacing them. With more than 50 integrations, we consolidate fragmented controls into a single platform that translates governance policies across different vendors and technologies. In addition, our Singulr Pulse engine maintains a knowledge base of more than two million AI-related entries, including tools, models, vendors, MCP servers and associated risk profiles. This provides organizations with highly contextual, continuously updated intelligence for AI decision-making. ## Can you share a customer story or proof point? **Shiv Agarwal:** One large enterprise customer wanted complete visibility into its AI environment. Through a frictionless discovery process integrated into its existing ecosystem, we uncovered extensive shadow AI activity and governance gaps. The organization believed it had standardized on a single AI coding tool, but we identified roughly a dozen different tools in use across departments, many without data protection agreements. We found nearly twice as many Grammarly AI users as expected, with many using unapproved free versions. We also identified more than 1,000 embedded AI modules, dozens enabled by default without going through a formal vetting process. In addition, we discovered approximately 900 agents operating without adequate guardrails. By improving visibility, streamlining approval workflows and implementing governance controls, we helped transform what had become a largely unmanaged environment into one with clear oversight and risk management. ## What is the biggest misconception buyers have about the problem you're solving? **Shiv Agarwal:** Many organizations view AI risk strictly as a security problem. We believe that is the wrong starting point. Security is often reactive. By the time security teams are addressing issues, governance and control decisions have already been made. AI has become critical infrastructure, and organizations need to approach it as a governance, intake and controls challenge first. Enterprises already have dozens of security tools. Simply adding another tool does not solve the underlying problem. Success requires establishing the right governance framework and controls up front so that security incidents are reduced before they occur. ## What has been the hardest challenge in building the company? **Shiv Agarwal:** The biggest challenge has been keeping pace with the speed of AI innovation. When we started, the focus was largely on browser-based use of tools like ChatGPT. Since then, the ecosystem has rapidly expanded to include agentic platforms, MCP servers, desktop AI tools, coding assistants, browser agents and entirely new forms of AI interaction. To remain relevant, we have had to evolve just as quickly as the market. That requires a highly adaptive organization capable of responding to new technologies, new risks and changing customer needs almost in real time. ## What milestone would tell you the company is succeeding a year from now? **Shiv Agarwal:** Success would be reflected in both customer validation and market validation. A major milestone would be seeing large enterprise customers publicly describe AI as critical infrastructure and explain how they rely on Singulr to govern and protect it. Public advocacy from customers would demonstrate that we are delivering meaningful value. A second indicator would be a successful funding round that reflects growing confidence from investors and validates the category we are helping create. ## Why is now the right time for this company and solution? **Shiv Agarwal:** Organizations are rapidly adopting AI and agentic technologies, but governance and control frameworks have not kept pace. The need for enterprise-wide visibility, governance and runtime controls has become increasingly urgent as AI expands across browsers, endpoints, applications, agents and development environments. Companies can no longer rely on fragmented controls or reactive security measures. The market is now recognizing the need for comprehensive AI governance and assurance. ## What does success look like for the security practitioner using your solution every day? **Shiv Agarwal:** Success means security teams are no longer viewed as blockers to innovation. AI is creating enormous pressure on organizations to move faster, and security leaders often find themselves caught between enabling innovation and managing risk. The best outcome is for security practitioners to become trusted business partners who help organizations adopt AI safely and efficiently. Practically, that means being able to evaluate new AI technologies quickly, introduce them into the organization with appropriate controls and reduce risk without slowing down the business. When security is seen as an enabler rather than a bottleneck, that is true success. [ ![HOU.SEC.CON CTA](https://s3.us-east-1.amazonaws.com/assets.cybersecmedia.com/HSC+CTA.jpg) ](https://houstonseccon.com/?ref=cybrsecmedia.com)