AI agents are becoming more autonomous. That means AI security can’t be an afterthought. At #SnowflakeSummit, we introduced new AI security innovations designed to help organizations deploy AI agents and applications with enterprise-grade protection built in from the start, including: • Agent Identity for auditability and near real-time access restriction • Horizon AI Guardrails for prompt injection protection • Data Movement Policies to help prevent unauthorized data exfiltration • Multi-Party Approval and Snowflake Backups for stronger ransomware resilience • AI Security Posture Management and Compliance Reporting in Trust Center • CoCo security skills for conversational security administration and remediation Dive in for the latest: https://bit.ly/4ogCw9G
Crucial updates; giving autonomous agents a secure identity is a massive step forward for enterprise data compliance.
the conversation I'm having with enterprise clients is about how they have deployed AI and now don't know where the data is going. snowflake just named the problem and not only that...they built the answer into the platform. thats a posture I can get behind! Go Snowflake!
The introduction of AI security innovations shows how proactive measures from identity management to ransomware resilience are essential to safely deploying autonomous AI agents at scale.
Building security into AI from day one is exactly how enterprises need to scale. These guardrails mirror the integrated approach we apply to hospitality platforms—trust and resilience can't be bolted on later.
AI is evolving rapidly, but data remains the true competitive advantage. Events like Snowflake Summit highlight how trusted, governed, and accessible data is the key to unlocking scalable enterprise AI.