Elevate Your Cloud Security Strategy

Leading with AI-Powered Rule Development

One of Vision One’s standout features is its best practice rules. Detect misconfigurations risks across 5 cloud providers with our comprehensive out of the box security checks in customers’ cloud environments, risks that can leave them exposed to cyberattacks like ransomware.

By integrating Amazon Bedrock’s generative AI, we’ve accelerated rule development by over 50%, transforming how we deliver security and compliance capabilities.

Bedrock enables intelligent automation throughout the rule-writing process, significantly reducing manual effort. This allows us to quickly implement customer-requested rules and expand coverage across AWS, Azure, Alibaba Cloud, OCI, and GCP.

Previously, creating a new rule required 3–4 days of work from developers and QA teams. Now, with Bedrock, the development cycle is down to just 1 day.

Each phase of this initiative is designed to minimize time spent on building, deploying, and testing rules. Our ultimate goal is to shift developer and QA involvement to oversight only, focusing on final code review.

Customer Impact

 One of the largest insurance companies in APAC, running on GCP, can now safely scale and increase their use of AI and ML services to drive innovation, thanks to Trend’s consistent and comprehensive out-of-the-box rules coverage.

The Future of Detection: A SIEM That Thinks

Artificial Intelligence That Truly Understands Context

Threat detection models using Amazon Bedrock represent a fundamental evolution in threat detection. Instead of relying on static rules that quickly become outdated, these models use natural language to understand the full context of security events.

It’s the difference between a system that alerts you “there were 100 failed login attempts” and one that says “we’ve detected a coordinated attack pattern targeting administrative accounts, similar to the APT29 campaign identified last week, with an 87% probability of being a real attack based on timing and origin of attempts.”

Agentic SIEM with AWS: AI-native cloud detection and response combining real-time observability, IOC sweeping with threat intelligence, and automated security playbooks. Delivers rapid onboarding of new cloud application logs, meaning they are parsed, mapped, and correlated within hours, to accelerate investigation and response across your AWS environment.

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