Prowler Integrates AI into Security Workflows

Prowler has introduced a significant advancement in cloud security with the launch of Prowler Lighthouse AI, an intelligent security assistant, and a new MCP Server. These tools embed autonomous artificial intelligence directly into DevSecOps processes, enabling organizations to accelerate risk analysis, streamline compliance efforts, and guide teams through faster remediation across multi-cloud setups. Available immediately, this dual release positions Prowler as the first open cloud-security platform to integrate AI at the heart of security workflows.

Security operations can now proceed at what the company calls “AI speed.” The agentic AI automation shortens dwell times, helps prevent cascading security breaches, and equips teams to counter threats from AI-augmented adversaries. By automating decision loops and embedding live security context into development pipelines, Prowler shifts teams from a reactive to a proactive security stance.

For development and security teams, the MCP Server integrates cloud security context directly into agentic workflows by connecting with widely-used tools like Cursor, Claude Code, and Visual Studio. It identifies misconfigurations, evaluates risk levels, and can even generate or submit remediation pull requests automatically—all without requiring users to exit their coding environment. Teams also gain the ability to define custom security checks and build tailored dashboards or reports, weaving continuous visibility and compliance into every stage of their security operations.

Lighthouse AI offers a natural language chat interface, allowing users to pose complex operational or analytical questions as if they were consulting a knowledgeable colleague. Driven by sophisticated AI reasoning, it interprets plain English queries, pulls relevant data from Prowler’s systems, and delivers precise, actionable answers in real time.

A key differentiator is its open architecture. Unlike closed, proprietary systems, Lighthouse AI provides customers complete control over their AI approach. It supports multiple large language models through integrations with platforms like Amazon Bedrock, enabling access to models from Amazon, Anthropic, and OpenAI. This flexibility lets organizations optimize for performance, manage costs effectively, meet compliance requirements, and avoid vendor lock-in.

Prowler Cloud customers receive free OpenAI credits to use with Lighthouse AI through the end of 2025. Those using the self-managed version can integrate their own LLM provider license. According to Toni de la Fuente, CEO of Prowler, AI has become essential rather than optional in cloud security. He noted that feedback from the Prowler community indicates AI tools save an average of 19 hours per week per user. “Lighthouse AI provides an autonomous assistant that redefines how security and development teams operate,” de la Fuente explained. “It doesn’t just speed up tasks—it transforms the entire security lifecycle by reducing mean time to remediation, strengthening compliance, and embedding security natively into developer workflows via our MCP server. We are making security not only faster but also more intelligent and accessible.”

This product launch coincides with accelerating AI adoption across the security sector. Prowler’s recent State of Cloud Security Report reveals that close to 79% of cloud security teams already use AI technologies to manage their environments, citing major gains in operational efficiency, human augmentation, and enhanced threat detection as primary benefits.

(Source: HelpNet Security)