A Breakthrough Year for Enterprise AI, and Why Trust Matters More Than Ever

By Manoj Saxena, CEO & Founder of Trustwise

In 2025, something remarkable happened in the world of enterprise AI: many organizations went from simply experimenting with AI to entrusting it with a portion of their real business outcomes. The success of that shift from curiosity to operational reliance continues to hinge on the realization that AI capability without trust creates risk.

At Trustwise, we’re built on the belief that AI systems must be both innovative AND dependable. Not at the cost of safety and compliance, but because of it. We’ve designed the Trustwise platform to provide that foundation of trust, and this past year proved our technology in some of the most demanding, high-stakes environments.

Why Awareness of “Trust Posture Management” Began to Grow in 2025

The adoption of agentic AI, which can act autonomously on behalf of businesses, has exposed both challenges and opportunities in how enterprises should think differently about AI risk and governance going forward. Leaders have begun to realize that while traditional monitoring tools are useful for observability, they aren’t able to govern decisions as they happen at runtime.

To deploy AI safely at scale, you have to control it at the moment it acts, not after the fact.

This insight is why Global 500 institutions in healthcare, financial services, and professional services implemented Trustwise to move their AI pilots into production. Our AI Control Tower delivered real-time governance, policy alignment, and measurable safety across autonomous deployments:

• Over 90% runtime policy alignment, even across complex workflows
• 83% reduction in operational AI costs
• 64% decrease in carbon emissions
• Safe governance of hundreds of thousands of agents simultaneously
  

These stats represent measurable improvements in safety, efficiency, sustainability, and trust. They show that when AI systems are governed proactively, enterprises can do more than just mitigate AI risk, but also unlock value from their AI deployments, which boards, investors and executive teams are actively seeking.

Industry Recognition 

In addition to achieving significant real-world impact for our customers this past year, we were honored to be named Gartner® Cool Vendor™ in Agentic AI for Banking and Investment Services. This recognition reinforced Trustwise’s industry leadership in enabling financial institutions to deploy AI with confidence and validated our mission to make fleets of agentic AI systems safe, efficient, and secure at scale.

Partnerships, Collaboration, and the Road Ahead

None of this progress has happened in isolation. Last year, we strengthened our strategic partnerships, from joining the NVIDIA Inception Program to breakthrough research collaboration with NYU, which accelerated innovation that makes AI safer, more efficient, and more accountable. We’ve also been fortunate to work with customers and ecosystem leaders who don’t just deploy AI but trust it to make decisions that matter. Their insights, feedback, and operational requirements have continued to shape the roadmap for the entire industry.

AI Will Transform Business, But Only If It Can Be Trusted

To the leaders who are considering enterprise AI in 2026 and beyond: the race is now more about confidence than it is about capacity. Ask yourself: can your AI systems act autonomously and still remain aligned with your policies, safety requirements, and business goals?

That shift in mindset from hope to structured trust is the defining theme of 2026. And it’s why we’re more convinced than ever that trust posture management is the control plane for responsible AI.

We believe the future belongs to systems that are trustworthy by design and governed at runtime. Autonomous AI is powerful and transformational, but transformation only lasts when organizations can rely on outcomes that are safe, compliant, and aligned.

How leaders themselves are thinking about AI:

• CISOs are no longer asking whether AI can deliver value. They’re asking how to guarantee it doesn’t create unacceptable risk.
• Innovation teams are prioritizing safe speed, not speed alone.
• Executives are no longer willing to trade safety for capability.

The momentum we saw in 2025 tells us one thing clearly: Trust isn’t an afterthought. It’s the foundation of AI that works.

Let’s build the future of AI responsibly together.

— Manoj Saxena