As enterprises race to deploy autonomous AI agents into real-world operations, a hard truth is setting in: watching AI isn’t the same as controlling it.
That realization defined 2025 for Trustwise, an AI trust management company founded by former IBM Watson GM Manoj Saxena. Over the past year, Trustwise emerged as a leading provider of runtime governance and control for enterprise agentic AI—the fast-growing class of autonomous systems that act, decide, and adapt without human intervention.
The company’s message is simple but increasingly urgent: governance after the fact doesn’t work when AI is making decisions at machine speed.
The Runtime Governance Gap Enterprises Can’t Ignore
Most enterprise AI governance today still looks backward. Companies monitor logs, audit outputs, and investigate failures after something goes wrong. That approach may work for static models—but not for agentic AI systems that plan, call tools, and execute actions autonomously.
Trustwise was built specifically to address that gap: governing AI at runtime, when risk is highest and decisions actually matter.
As AI moves from pilots into regulated, high-stakes workflows—finance, healthcare, professional services—post-hoc controls and dashboards stop being enough. Regulators, CISOs, and risk leaders want guarantees, not explanations after damage is done.
Trustwise positions itself as the “AI Control Tower” for enterprise agentic AI, offering centralized visibility, real-time enforcement, and operational control across entire fleets of AI agents.
How Trustwise Controls Agentic AI in Real Time
At the core of Trustwise’s platform is the idea that AI agents must be supervised continuously—not just observed.
The company does this through a combination of:
- Guardian Agents, which supervise and constrain agent behavior at scale
- Agentic AI Shields, modular runtime enforcement layers that govern prompts, compliance, brand safety, cost, and carbon impact
- The AI Control Tower, providing enterprise-wide visibility and policy management
- THEO Engine, a high-efficiency optimization system that evaluates agent decisions and enforces guardrails in real time
Unlike traditional monitoring tools, Trustwise intervenes at the moment of action—restricting tool usage, enforcing policy, and aligning outcomes before decisions propagate downstream.
In practical terms, this means AI agents can operate autonomously while remaining provably safe, compliant, and efficient.
A Breakout Year Backed by Real Enterprise Results
Trustwise’s claims aren’t theoretical. In 2025, the platform moved firmly into production across Global 500 organizations operating in high-risk environments.
Across deployments, Trustwise reported:
- 90–100% runtime policy alignment
- 83% operational cost reduction
- 64% reduction in carbon emissions
- Governance at scale for hundreds of thousands of agents simultaneously
Specific customer outcomes included:
- A large healthcare platform achieving over 90% clinical guideline alignment, 40% lower token costs, and significantly improved hallucination detection
- A global professional services firm cutting LLM spend by 80% while delivering 10x faster knowledge retrieval across 17,000+ users
- A tier-one financial institution governing 200+ autonomous agents while reducing carbon emissions and maintaining alignment with ISO/IEC SCI standards
- A multinational consumer brand enforcing brand and safety policies in real time for voice-based customer service agents
These are precisely the environments where AI failure isn’t just inconvenient—it’s expensive, regulated, and reputationally damaging.
Industry Recognition Signals a Market Shift
Trustwise’s momentum in 2025 was reinforced by a wave of industry recognition, suggesting that runtime governance is quickly becoming table stakes for enterprise AI.
The company was named a 2025 Gartner® Cool Vendor™ in Agentic AI for Banking and Investment Services, a notable signal in an industry that moves cautiously when it comes to autonomous systems.
Trustwise also earned Most Innovative AI Product honors and recognition for Saxena as a Most Innovative Tech Startup Leader at the 2025 theCUBE Tech Innovation Awards, building on its 2024 InfoWorld Technology of the Year Award.
Taken together, the accolades point to a broader industry realization: agentic AI needs its own governance category—and runtime control is emerging as the standard.
Why Financial Services Are Paying Close Attention
Financial institutions have been early adopters of Trustwise, largely because they have the least tolerance for AI misbehavior.
Dr. Paul Dongha, head of responsible AI and AI strategy at NatWest Group, highlighted the balance Trustwise strikes between performance and accountability—an increasingly rare combination as AI systems grow more complex.
For banks and insurers navigating regulatory frameworks like ISO 42001, NIST AI RMF, and the EU AI Act, runtime governance offers something static controls can’t: confidence that AI remains compliant even as it evolves in production.
Strategic Partnerships Extend Trustwise’s Reach
Trustwise’s growth in 2025 was also fueled by partnerships that expand both its technical capabilities and market access.
The company joined the NVIDIA Inception Program, gaining early access to advanced AI technologies and go-to-market support. It also launched a research collaboration with NYU, focused on improving AI reliability, speed, and cost efficiency through advanced optimization techniques.
Trustwise is backed by investors including Hitachi Ventures, Allstate Strategic Ventures, Firestreak Ventures, and Grit Ventures—firms with deep ties to regulated industries and enterprise infrastructure.
Built for the Agentic AI Ecosystem
From a technical standpoint, Trustwise has positioned itself as framework- and model-agnostic, a critical requirement as enterprises experiment across stacks.
The platform:
- Integrates with LangGraph, AutoGen, CrewAI, and LangChain
- Supports leading models including GPT, Claude, Gemini, Mistral, and Llama
- Deploys across on-prem, edge, and cloud environments on AWS, Azure, and GCP
- Covers 17 global compliance standards, including HIPAA, FCA, ISO 42001, ISO/IEC 21031, and the EU AI Act
This breadth matters as enterprises move from isolated AI tools toward coordinated fleets of autonomous agents operating across business functions.
The Bigger Picture: Trust as the Bottleneck to Autonomous AI
The rise of agentic AI is forcing a reset in how enterprises think about governance. The question is no longer whether AI works—but whether it can be trusted to act independently.
Trustwise is betting that trust itself becomes the limiting factor for AI adoption. If enterprises can’t prove safety, alignment, and control at runtime, autonomous AI stays stuck in pilots.
By focusing on enforcement rather than observation, Trustwise is positioning itself as the infrastructure layer that makes large-scale autonomy viable.
As Saxena puts it, autonomous AI isn’t just coming—it’s already here. Whether it succeeds in the enterprise depends on whether organizations can control it in real time.
Trustwise is building for that future—and after 2025, it’s increasingly clear the market is ready.
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