Our overview of Gartner’s “Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond” report and Opsin’s role in the agentic AI era.
AI TRiSM stands for AI Trust, Risk, and Security Management. It is Gartner’s framework for addressing the risks introduced by AI systems across their lifecycle.
That includes security, governance, privacy, and compliance. It also includes how AI behaves once it is deployed, not just how it is designed.
The timing matters. Enterprises are no longer testing AI in isolation. They are deploying copilots, autonomous agents, and AI-driven workflows that interact directly with sensitive data and business systems.
“The data intensity of GenAI is rapidly outpacing legacy security solutions, necessitating a new era of scalable architectural innovations in data privacy and access control.” As Gartner notes in the report: “the nondeterministic behaviors of AI make it necessary to evolve security testing approaches where established practices based on deterministic inputs and outputs are inadequate.”
According to the report, Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond, “in this research, we examined 120 early-stage AI trust, risk and security management (TRiSM) startups that received venture capital (VC) funding during the period from October 2022 through September 2025. These early-stage (through Series B) startups collectively raised around $1,726 million in VC funding, from which we have identified several critical trends where investments are placed within AI TRiSM…… This involves comprehensive measures in AI security platforms, agentic AI security, information governance, AI governance and AI security testing.”
In our opinion, the most important shift in this report is Gartner’s focus on agentic AI. AI agents are no longer theoretical. They are being deployed to complete tasks, access data, and interact with tools with limited human oversight.
That shift changes the risk profile of AI adoption.
Gartner highlights several implications of agentic AI adoption:
Unlike traditional applications, AI agents can chain actions together. They retrieve data, reason over it, and pass it downstream to other systems. That makes intent harder to define and mistakes harder to contain.
The result is a higher likelihood of data exposure and unintended exfiltration.
This report is not a Magic Quadrant or Market Guide. It is focused on emerging technology in the space of securing and governing AI.
In our opinion, Gartner looks at where investment is flowing and which companies are addressing risks that did not exist a few years ago. The emphasis is on architectural fit for the future, not feature checklists.
To us, a consistent theme throughout the report is that fragmented, point-based solutions will struggle. We believe vendors that offer unified and AI-native approaches are better positioned to support enterprise-scale adoption.
Agentic AI puts pressure on one question: how do you control data when systems act autonomously?
Traditional controls assume:
AI agents break those assumptions. They operate across tools, data sources, and steps. They can expose sensitive information through prompts, responses, or downstream actions without malicious intent.
Gartner repeatedly points to information governance and runtime monitoring as foundational capabilities for AI TRiSM. Without them, organizations lose visibility into how data is actually used.
Opsin is included in Gartner’s analysis of top-funded startups in AI TRiSM.
Our focus is narrow by design. We help organizations prevent data exposure and exfiltration as AI agents, copilots, and AI-powered workflows move into production.
We believe that focus aligns directly with the risks Gartner highlights. As enterprises scale agentic AI, they need practical ways to understand how data is accessed, shared, and controlled in real time.
AI risk is often discussed in terms of bias or hallucinations. Those issues matter, but for enterprises, data loss is the most immediate concern.
AI systems can expose data in ways that are difficult to anticipate:
Once data leaves controlled boundaries, remediation is limited. The impact is regulatory, financial, and reputational.
That is why securing AI starts with protecting data at the moment it is used.
Opsin’s approach reflects several principles we concluded in the report:
By focusing on data protection in active AI interactions, Opsin enables organizations to move faster with agentic AI without increasing risk.
In our opinion, Gartner’s Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond report reflects a clear shift.
AI adoption is accelerating. Agentic systems are moving into production. Governance must move from policy to practice.
Data security sits at the center of this transition.
Opsin is building for that reality. We help organizations protect sensitive data as AI systems become more autonomous and more deeply embedded in the enterprise.
Gartner clients can access the full report here: Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond report through Gartner.
Gartner, Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond, 13 January 2026
Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a trademark of Gartner, Inc. and its affiliates.
AI TRiSM is Gartner’s framework. According to Gartner: “AI TRiSM is a maturing framework that focuses on managing and mitigating risks associated with AI implementations. This involves comprehensive measures in AI security platforms, agentic AI security, information governance, AI governance and AI security testing.”
Because autonomous agents introduce new data and security risks that traditional controls cannot manage effectively.
We believe, Opsin addresses a core AI TRiSM challenge: preventing data exposure and exfiltration as AI systems become more autonomous.
According to the research: “high-tech C-level executives must decide how to respond to the significant VC investments and acquisition trends within AI TRiSM as part of their security portfolio.”
Our overview of Gartner’s “Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond” report and Opsin’s role in the agentic AI era.
AI TRiSM stands for AI Trust, Risk, and Security Management. It is Gartner’s framework for addressing the risks introduced by AI systems across their lifecycle.
That includes security, governance, privacy, and compliance. It also includes how AI behaves once it is deployed, not just how it is designed.
The timing matters. Enterprises are no longer testing AI in isolation. They are deploying copilots, autonomous agents, and AI-driven workflows that interact directly with sensitive data and business systems.
“The data intensity of GenAI is rapidly outpacing legacy security solutions, necessitating a new era of scalable architectural innovations in data privacy and access control.” As Gartner notes in the report: “the nondeterministic behaviors of AI make it necessary to evolve security testing approaches where established practices based on deterministic inputs and outputs are inadequate.”
According to the report, Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond, “in this research, we examined 120 early-stage AI trust, risk and security management (TRiSM) startups that received venture capital (VC) funding during the period from October 2022 through September 2025. These early-stage (through Series B) startups collectively raised around $1,726 million in VC funding, from which we have identified several critical trends where investments are placed within AI TRiSM…… This involves comprehensive measures in AI security platforms, agentic AI security, information governance, AI governance and AI security testing.”
In our opinion, the most important shift in this report is Gartner’s focus on agentic AI. AI agents are no longer theoretical. They are being deployed to complete tasks, access data, and interact with tools with limited human oversight.
That shift changes the risk profile of AI adoption.
Gartner highlights several implications of agentic AI adoption:
Unlike traditional applications, AI agents can chain actions together. They retrieve data, reason over it, and pass it downstream to other systems. That makes intent harder to define and mistakes harder to contain.
The result is a higher likelihood of data exposure and unintended exfiltration.
This report is not a Magic Quadrant or Market Guide. It is focused on emerging technology in the space of securing and governing AI.
In our opinion, Gartner looks at where investment is flowing and which companies are addressing risks that did not exist a few years ago. The emphasis is on architectural fit for the future, not feature checklists.
To us, a consistent theme throughout the report is that fragmented, point-based solutions will struggle. We believe vendors that offer unified and AI-native approaches are better positioned to support enterprise-scale adoption.
Agentic AI puts pressure on one question: how do you control data when systems act autonomously?
Traditional controls assume:
AI agents break those assumptions. They operate across tools, data sources, and steps. They can expose sensitive information through prompts, responses, or downstream actions without malicious intent.
Gartner repeatedly points to information governance and runtime monitoring as foundational capabilities for AI TRiSM. Without them, organizations lose visibility into how data is actually used.
Opsin is included in Gartner’s analysis of top-funded startups in AI TRiSM.
Our focus is narrow by design. We help organizations prevent data exposure and exfiltration as AI agents, copilots, and AI-powered workflows move into production.
We believe that focus aligns directly with the risks Gartner highlights. As enterprises scale agentic AI, they need practical ways to understand how data is accessed, shared, and controlled in real time.
AI risk is often discussed in terms of bias or hallucinations. Those issues matter, but for enterprises, data loss is the most immediate concern.
AI systems can expose data in ways that are difficult to anticipate:
Once data leaves controlled boundaries, remediation is limited. The impact is regulatory, financial, and reputational.
That is why securing AI starts with protecting data at the moment it is used.
Opsin’s approach reflects several principles we concluded in the report:
By focusing on data protection in active AI interactions, Opsin enables organizations to move faster with agentic AI without increasing risk.
In our opinion, Gartner’s Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond report reflects a clear shift.
AI adoption is accelerating. Agentic systems are moving into production. Governance must move from policy to practice.
Data security sits at the center of this transition.
Opsin is building for that reality. We help organizations protect sensitive data as AI systems become more autonomous and more deeply embedded in the enterprise.
Gartner clients can access the full report here: Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond report through Gartner.
Gartner, Emerging Tech: Top-Funded Startups in AI TRiSM: Agentic AI and Beyond, 13 January 2026
Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a trademark of Gartner, Inc. and its affiliates.
