Vanta has introduced a new set of products built around an upgraded version of its AI Agent, a move aimed at pulling compliance, risk, and security work back under one roof. It comes at a time when these functions have drifted into separate tracks, each with its own tools, timelines, and evidence requirements. What used to be one discipline has become three parallel workloads that rarely connect.
That separation is getting harder to sustain. Regulatory pressure is rising from every direction, and companies rely on more vendors and partners than ever. Each relationship brings new audits, customer assurances, and security requirements. Teams that once managed all of this with spreadsheets and email threads are running out of room.
The industry is already shifting toward something steadier: continuous, real-time GRC instead of periodic sprints. Boards want live visibility, not year-end reports. Security leaders want assessments that move at the speed of product releases. Vanta’s announcement points toward where this work is heading—a unified trust layer that stays in sync with the business instead of chasing it.
Vanta’s Agentic Trust Platform at a Glance
The Agentic Trust Platform is designed to unify GRC functions around a single trust layer so teams aren’t juggling separate systems for assessments, risk reviews, and security evidence. A major piece of that vision is Vanta’s upgraded AI Agent 2.0, positioned as an autonomous operator that can carry trust workflows forward without waiting for humans to push every task along.
This launch arrives as agentic AI moves deeper into enterprise workflows. Automation has outgrown simple alerting and ticket handling; teams now expect systems that can shoulder real operational tasks, especially in areas buried in repetitive documentation and evidence gathering.
“As cyber attacks and breaches become more sophisticated, there has been a fundamental shift in how security leaders approach what trust means in the digital age,” said Vanta CPO, Jeremy Epling. “The debut of Vanta’s Agentic Trust Platform and Vanta AI Agent 2.0 means CISOs gain a proactive, built-in GRC partner that can orchestrate complex trust workflows. Now, security teams have the enterprise-grade visibility they need to scale their programs, automate mitigation, and continuously earn and prove trust.”
Mapping the Organization: Breaking Down Internal Silos
Among the platform’s new capabilities is and Organizations Center that helps companies visualize how their business is structured across units, product lines, and geographies. For security and compliance teams, knowing who owns what system or which group is responsible for a control is half the battle. Having that information mapped out in one place eliminates a lot of the back-and-forth that slows assessments down.
Standardized audit workflows become even more important once a company spreads across multiple offices, cloud environments, or business units. Without a shared playbook, every team invents its own approach. Evidence gets duplicated, deadlines slip, and audits drag on longer than anyone wants. A common workflow brings everyone back to the same starting point, so assessments look and feel consistent across the business.
Automation also helps by handling the repetitive steps—pulling logs, collecting artifacts, and assembling evidence that auditors ask for year after year. Instead of each team gathering the same material by hand, much of that work now happens automatically in the background.
The Risk Graph and the Shift to Connected Risk
The platform also includes a risk graph that maps out how risks relate to each other rather than leaving them as isolated entries on a list. It gives organizations a visual way to see how an issue in one part of the business might reveal a dependency somewhere else, or how a failure in one control can influence another area downstream.
This kind of connected-risk thinking is becoming central to modern security and compliance programs. Companies operate across multiple clouds, rely on long vendor chains, and support products with overlapping infrastructure. A single risk rarely stays put. Seeing the relationships makes the work less about chasing down individual problems and more about understanding how the environment behaves as a whole.
Real-time propagation analysis is where this approach pays off. Leaders want to know not only what failed but what that failure touches, how far it spreads, and what needs attention first. A graph model gives them a clearer way to make those calls than the guesswork and static registers that used to anchor GRC.
Customer Commitments and the Move Toward Transparent Obligations
Customer obligations are another area where companies feel the strain. Breach-notification timelines, contract-specific security requirements, and custom SLAs all create a long list of promises organizations must track. The platform introduces tools to automate that tracking so teams don’t have to monitor every commitment by hand.
Customers now expect transparency at a far higher level than even a few years ago. They want clear signals that a company is not only meeting its promises but staying ahead of them. Automation helps reduce the chance of missed obligations, which is often where breakdowns occur, not from lack of effort, but from the sheer volume of details teams need to manage.
The Rise of the AI GRC Engineer
Across the industry, AI agents are starting to take on work that once clogged GRC calendars, such as prepping assessments, filling out questionnaires, and reviewing vendor documentation. Taking on this repetitive work allows teams to focus on the calls that actually require human judgment.
There’s real upside here, but also boundaries. Agents can move a workflow forward, but they still depend on clear definitions for what counts as a risk, when something needs escalation, and what qualifies as acceptable evidence. Without those guardrails, agentic systems can drift, creating extra work instead of reducing it.
Organizational readiness matters too. Teams want automation, but they also want to understand how an agent reached a conclusion. Explainability becomes essential once auditors or regulators start asking questions. Companies will need clear policies for where AI is used, where humans must remain in the loop, and how automated decisions are validated.
What This Signals for the Future of GRC
The convergence of compliance, security, and risk into a single operational discipline is already underway. Managing these areas as separate workstreams doesn’t match the pace or complexity of the environments companies operate in. A shared trust layer—something always running, always connected—is becoming the new center of gravity.
With Vanta moving agentic capabilities into GRC, other vendors are likely to follow. The pressure to automate repetitive, evidence-heavy work is too strong to ignore. Enterprises can start preparing now by mapping where their trust obligations live, tightening the processes that feed assessments, and setting guardrails for how AI should operate inside their workflows. Companies that do this early will be setting themselves up for a future where trust is an ongoing operational practice.
