Why AI Trust Will Shape Your Next Decade of Software Development
June 24, 2025
0 mins readAI is often compared to electricity, but without trust, it’s just a live wire.
As organizations adopt AI to move faster, reduce manual effort, and push the boundaries of what’s possible, one truth is becoming clear: trust in AI isn’t optional. It’s foundational. And for software development teams, AI Trust is now the north star that guides safe, scalable innovation.
What is AI Trust?
AI Trust is the ability to build and ship software fast without losing control, visibility, or security. It ensures your teams can operate confidently in an AI-native, agentic environment where humans and intelligent systems collaborate to create and secure code at unprecedented speed.
When AI Trust is in place, you can:
Know where and how AI is being used across your development lifecycle.
Establish strong governance, controls, and policies that adapt as AI evolves.
Understand and manage the risk AI introduces, not just today, but continuously.
This isn’t just a security priority. It’s also a competitive advantage. By 2026, Gartner predicts organizations operationalizing AI transparency, trust, and security will see a 50% improvement in model adoption, business alignment, and user acceptance.
Why AI Trust is business-critical
The pace of AI adoption is staggering. By the end of 2025, it’s estimated that up to 90% of code could be AI-generated. But the speed of innovation comes with a caveat: nearly half of AI-generated code is insecure, exposing teams to a fast-growing web of threats, from prompt injection and data exfiltration to model manipulation and misconfiguration.
Without trust, velocity turns into risk.
Organizations that invest in AI Trust are better positioned to harness AI’s upside of greater productivity, faster delivery, and smarter automation while avoiding the blind spots that attackers are already exploiting.
AI is redefining the developer experience
Build AI Trust and empower your team to develop fast and stay aligned with security goals.
What AI Trust looks like in action
To operationalize trust, it must be embedded into the SDLC. That’s why Snyk’s AI Trust Platform is designed to deliver three core capabilities that align security, development, and platform engineering around a common goal: safe, agentic innovation.
1. AI-enabled risk management
AI changes your threat model. Traditional approaches can’t keep up with AI-generated code, LLM integration, or autonomous workflows.
Snyk delivers precise, automated visibility into your AI landscape, from agentic systems and datasets to models and pipelines. Our platform identifies vulnerabilities, prioritizes them based on real-world risk, and integrates seamlessly across code, container, IaC, and API layers.
This isn’t just scanning. It’s AI-native, contextual security orchestration.
2. Dynamic policy enforcement
Static policies don’t stand a chance in dynamic, AI-driven environments.
With Snyk Guard, you can deploy adaptive guardrails that assess, enforce, and evolve security policies in real time based on shifting risk factors and business requirements. These intelligent agents operate autonomously, ensuring security posture remains strong as development velocity accelerates.
And because the policies are tailored and contextualized, they’re enforceable without breaking innovation.
3. Continuous compliance
AI Trust demands more than one-time validation. Regulations, frameworks, and internal standards are in constant flux.
Snyk’s platform helps you implement automated, proactive compliance that aligns with emerging standards and scales with your architecture. From auditability to explainability, the platform continuously validates and remediates gaps to keep your systems in check without adding friction to your workflows.
AI Trust is the new AppSec
Snyk’s AI-native platform delivers the AI Trust needed to reduce business risk, scale governance, and unleash developer productivity in the age of agentic software.
Our AI Trust Platform unites:
Agentic visibility across AI and code assets.
Prioritization based on application context.
Tailored policies that teams can confidently define, enforce, and adapt.
This is how modern organizations secure innovation without slowing it down.
Build your AI Trust strategy with Snyk
AI is changing how we code, deploy, and defend software. But you don’t have to navigate this transformation alone.
Download the ebook Building AI Trust: Securing Code in the Age of Autonomous Development to learn how Snyk is helping enterprises embed AI Trust into every phase of development, bridging security, governance, and engineering with a unified platform built for speed, scale, and safety.
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