Red Hat

Virtual event series Join us November 12, 2026, as we launch the first of a series of virtual events. Our first offering features security leaders, platform teams, and developers discussing how they’re adapting and preparing for what’s next amid rapid changes in the open source security landscape. New developments in enterprise open source software move fast—and so do sophisticated security breaches.

Enterprise AI is changing from software that primarily generates information to software that can take action. AI agents can call APIs, invoke tools, access files and credentials, communicate over networks and interact directly with business systems. That capability is useful precisely because it gives agents more reach and more authority. It also changes what enterprises need to secure. Model safeguards remain important, but they cannot carry the entire security burden.

Every enterprise AI conversation we’ve had this year ends in the same place. A team has an agent that works. It writes code, calls internal APIs, fixes its own mistakes. Then someone asks what happens when 1,000 of these run across the company, and the room goes quiet. That is the problem we kept hearing from teams building agentic systems.

For the U.S. Department of Defense (DoD) and its contractors, security has to hold up against a published baseline—not a general claim that systems are “secure.” The Defense Information Systems Agency (DISA) defines that baseline in Security Technical Implementation Guides (STIGs), and STIG compliance is required for information systems that connect to DoD networks.

Bala Sista is the Head of Technology and Architecture at Codvo.ai, where he shapes the company’s technology strategy and oversees its product portfolio, led by NeIO, Codvo’s agentic AI platform. He leads solution architecture across enterprise engagements in energy, manufacturing, healthcare, telecom, and financial services.

Indranil Paul is Director – Product & Solutioning at Codvo.ai, where he leads product strategy, solutioning, and enterprise AI and data transformation initiatives. With over 18 years of experience across AI/ML, Agentic AI, Vision AI, data platforms, product strategy, and engineering, he helps organizations convert emerging technologies into scalable solutions and measurable business outcomes.

Amy Ralph Principal Product Manager for Red Hat Enterprise Linux Find Amy here: As a Principal Product Manager for Red Hat Enterprise Linux (RHEL), Amy Ralph specializes in identity, security, and compliance strategy. She is responsible for guiding the development of these products, ensuring they align with evolving market demands and customer needs.

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AI quickstarts are a catalog of ready-to-run, industry-specific use cases for your Red Hat AI environment. Each aims to provide a simple and practical way to solve real-world problems using AI on enterprise open source infrastructure. This quickstart takes on a document problem most people outside of aviation never see: the aircraft lease. Aircraft leases are typically dense, complex, and hundreds of pages long. Reading and analyzing them is a job for a specialist, and it can take several days.

-minute read Throughout this series, we will unpack how Red Hat can help customers implement a layered security defense, from the operating system (OS) foundation to autonomous AI agents, ensuring enterprise resilience in the age of AI and emerging threats. Learn more Red Hat and IBM launch Lightwell, an initiative to help enterprises scale AI vulnerability patching across open source software.