TLDR: Trellix is significantly advancing its cybersecurity capabilities by integrating generative AI (GenAI) from Amazon Web Services (AWS). This collaboration leverages Amazon Bedrock, LangChain, and Anthropic Claude to accelerate product integrations, enhance threat detection and response, and improve customer support, leading to substantial reductions in development time and faster time to market for critical security solutions.
Trellix, a global leader in AI-powered cybersecurity, is transforming its development and operational efficiencies through a deepened strategic collaboration with Amazon Web Services (AWS), focusing on the integration of generative artificial intelligence (GenAI). This initiative aims to deliver more advanced and adaptive cybersecurity protections to customers, addressing the escalating sophistication of cyber threats.
The core of this transformation lies in Trellix’s adoption of an ‘agentic AI’ methodology, utilizing AWS services such as Amazon Bedrock, alongside frameworks like LangChain and large language models like Anthropic Claude. This innovative approach has yielded remarkable results, including a reported saving of over 40 hours of development time per integration, translating to an impressive 90% reduction in time to market for new security features and product integrations. This acceleration is critical in the fast-paced cybersecurity landscape, where the ability to quickly integrate with diverse solutions and preempt threats is paramount.
The collaboration extends beyond just development efficiency. Trellix’s GenAI capabilities, built on Amazon Bedrock, are designed to empower Security Operations (SecOps) teams to move more swiftly from detection to investigation and response. According to John Morgan, General Manager XDR at Trellix, “AWS enables Trellix to continue delivering transformative products to our customers, leveraging the power of GenAI to accelerate their cybersecurity initiatives.” Key benefits for customers include accelerated threat detection and response through AI-guided investigations, which lower the signal-to-noise ratio and reduce response times. Furthermore, the Trellix customer support chatbot, powered by AI, can answer a wide array of questions covered in Trellix documentation, streamlining support processes. Automated content development, including playbook workflows and custom rule development, is also expedited through AI-powered tooling, adapting to unique customer environments.
Sean Morton, Senior Vice President, Strategic Partnerships at Trellix, emphasized the dual focus of the collaboration: “In the era of rapid AI expansion, the symbiotic relationship between AI and security must be addressed. Together with AWS, we are focused on not only ensuring AI is embedded in security to allow optimum resilience, but also in securing AI itself. This is essential to ensuring organizations can use AI without compromising data integrity, trust, or compliance, particularly for those in regulated sectors.” This commitment underscores Trellix and AWS’s belief in responsible AI, with data privacy at its core, allowing users to custom-train AI output while maintaining data and results privacy.
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This strategic partnership, highlighted by Trellix’s achievement of the AWS Generative AI Competency for Trellix Helix Connect, signifies a significant leap forward in cybersecurity. By codifying a decade of investigation techniques used by elite incident responders, Trellix Wise, built on Amazon Bedrock, can provide autonomous investigations, saving an average of 8 hours of human time per 100 alerts. This empowers security analysts to focus on higher-value research rather than routine tasks, solidifying Trellix’s position as a leader in the evolving cybersecurity domain.
