Prowler, a leading name in open cloud security, has officially launched ProwlerLighthouse AI, an intelligent security assistant and MCP Server designed to integrate autonomous AI into DevSecOps workflows. With this release, Prowler combines agentic reasoning with advanced automation to accelerate risk analysis, simplify compliance, and guide teams through faster, more effective remediation across complex multi-cloud ecosystems.

This dual launch marks a pivotal moment for the company, positioning Prowler as the first open cloud-security platform to embed AI at the very core of its security workflows.

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Empowering Cloud Security at AI Speed

Prowler’s innovative AI automation ensures that detection, prioritization, and remediation occur at AI speed significantly reducing dwell time and preventing cascading breaches. By automating decision loops and embedding real-time context into DevSecOps pipelines, the platform enables teams to take a proactive approach against increasingly sophisticated, AI-driven threats.

Moreover, the new MCP Server embeds cloud security insights directly into popular development environments like Cursor, Claude Code, and Visual Studio. This allows DevSecOps teams to detect misconfigurations, assess risks, and automatically generate or submit remediation pull requests without ever leaving their coding workspace. Teams can even create custom checks, dashboards, and compliance reports tailored to their specific operational needs, ensuring continuous visibility and security at every stage.

Natural Language-Powered Intelligence

Meanwhile, Lighthouse AI introduces a conversational interface that allows users to interact with the system using natural language. By simply asking questions in plain English, users can perform deep operational or analytical queries. Backed by advanced AI reasoning, Lighthouse AI retrieves relevant data from Prowler, interprets the query, and delivers accurate, actionable insights instantly.

Unlike many closed AI systems, Lighthouse AI ensures customers maintain full control over their AI strategy. Through integration with Amazon Bedrock, organizations can access multiple Large Language Models (LLMs) from providers like Amazon, Anthropic, and OpenAI. This open framework helps companies optimize performance, cost, and compliance while avoiding vendor lock-in. In addition, Prowler Cloud customers can access Lighthouse AI with free OpenAI credits through December 31, 2025, while self-managed users can connect their own LLM licenses.

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AI: From Optional to Essential

“AI is not a nice-to-have in cloud security anymore, it’s a necessity. Our Prowler community has already told us that AI tools help them save, on average, 19 hours a week,” said Toni de la Fuente, founder and CEO of Prowler. “With Lighthouse AI, we’re giving security and development teams an autonomous assistant that fundamentally redefines how they work. It doesn’t just accelerate tasks it transforms the entire security lifecycle. By cutting mean time to remediation, strengthening compliance posture, and embedding security directly into developer workflows through our MCP server, Lighthouse AI turns secure development into a seamless, built-in advantage. We’re not just making security faster, but fundamentally more intelligent and accessible.”

AI Adoption Reaches a Tipping Point

The launch coincides with a broader shift in the cybersecurity landscape. According to Prowler’s State of Cloud Security Report, nearly 79% of cloud security teams are already leveraging AI to manage complex environments. These teams highlight efficiency, human augmentation, and enhanced threat detection as the top benefits of AI integration.

With ProwlerLighthouse AI, the company sets a new standard for intelligent cloud security merging automation, openness, and AI-powered reasoning to help organizations stay ahead of evolving cyber threats and operate securely at scale.

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