Snowflake, the AI Data Cloud company, today announced at Snowflake Summit 26 new innovations across Snowflake Horizon Catalog that redefine how enterprises govern, contextualize, and secure AI. As organizations move from AI experimentation to autonomous systems operating at enterprise scale, they need AI that operates using trusted business context, while remaining secure, governed, and compliant. Snowflake Horizon Catalog serves as the universal AI catalog for enterprise data.
BlackRock using Horizon Context to ensure AI operates on shared definition of enterprise truth.
Horizon Context brings together business context across entire data estate including databases, data lakes, and BI tools.
Agent Identity provides verified identity before agents can access enterprise data.
Adaptive Compute automatically optimizes compute and software resources in real time.
New security capabilities integrated with machine learning-driven detection for prompt injection safeguards.
Snowflake serves more than 13,900 customers globally.
"When intelligence becomes autonomous, trust is no longer an afterthought, it becomes foundational," said Christian Kleinerman, EVP of Product, Snowflake. "Organizations need AI that operates from trusted business context with governance and security built in from the start. New advancements across Snowflake Horizon Catalog give every agent, app, and team the trusted context and security controls needed to move AI from experimentation into real-world business operations."
As AI agents make more decisions on their own, even small inconsistencies in data can lead to critical mistakes. This is why many AI projects stall between proof of concept and production. Traditional semantic layers are separate from the data itself, which makes it hard to maintain consistent definitions and governance across systems.
Horizon Context solves this by providing the context layer for AI and BI so data has the same meaning everywhere and AI-driven decisions are reliable. Enterprises like BlackRock are already using Horizon Context to ensure AI operates on a shared definition of enterprise truth. Horizon Context brings this to life by enabling enterprises to collect trusted business context across an organization's entire data estate, automatically maintain business context through Semantic Studio and Semantic View Autopilot, and extend trusted context everywhere across the broader ecosystem.
"In the financial industry, trusted data and consistent business context are critical to delivering accurate insights and managing risk across global markets," said Jeff Miller, Managing Director, Global Head of Data Factory & Enterprise Data Platforms, BlackRock. "As AI becomes increasingly embedded across our enterprise, it's essential that applications, analytics, and agents operate from the same trusted understanding of the business. Snowflake's Horizon Context helps extend consistent business definitions across our broader data ecosystem, supporting more trusted and governed AI and analytics experiences at scale."
According to a recent McKinsey study, nearly two-thirds of organizations cite security as the top barrier to scaling AI. This is because traditional access controls were built for human users, not AI agents capable of independently accessing systems, reasoning over sensitive data, and taking action across enterprise environments.
Snowflake is introducing new security capabilities that bring zero-trust security to the agentic era and help enterprises like Acxiom, NewDay, and Thomson Reuters strengthen security, visibility, and control as they scale AI. These innovations deliver:
A Security Model Built for Agent Access: Agent Identity provides agents a verified identity before they can access enterprise data or take action, enforcing role-based permissions and maintaining a complete audit trail of every single agent activity.
AI Security Posture Management for the Agentic Enterprise: Innovations to Snowflake Trust Center help organizations continuously monitor the security posture of AI systems, investigate violations faster, and accelerate risk response through AI-guided assistance.
Enterprise Defense in the Agentic Era: Snowflake provides centralized governance to prevent unauthorized exposure or manipulation, integrating machine learning-driven detection with advanced prompt injection safeguards to block jailbreak attempts and emerging zero-day vulnerabilities.
"As AI becomes increasingly embedded across the marketing industry, having the right security foundations in place is critical to our business scaling innovation responsibly," said Ankur Jain, Chief Cloud and Data Modernization Officer, Acxiom. "Snowflake's new AI security capabilities have the potential to provide greater visibility and control over how AI systems access and interact with personally identifiable data, helping us scale AI adoption responsibly while maintaining the trust our clients expect."
"At Thomson Reuters, responsible AI adoption depends on strong security, visibility, and governance around how AI systems interact with enterprise data," said Caitlin Halferty, Head of Data & Analytics, Thomson Reuters. "As AI becomes more deeply embedded in professional workflows and customer experiences, protecting sensitive information while enabling innovation is critical. Snowflake's new AI security capabilities give us greater control and visibility, helping us scale AI with the trust, compliance, and accountability our customers expect."
Combined with the connected governance, visibility, and control provided by Horizon Catalog, Adaptive Compute removes complexity by automatically determining the optimal mix of compute and software resources in real time to deliver fast, efficient performance for AI and app workloads without manual tuning or infrastructure management. Together, Horizon Catalog and Adaptive Compute enable organizations to scale AI with a true serverless experience that combines consistent governance and security across data, AI, and compute with the speed, simplicity, and operational efficiency required to accelerate innovation.
About Snowflake
Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone.
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