AWS re:Think Podcast

AI agents move at machine speed. Your security doesn't. Discover how enterprises are finding shadow agents, measuring agent ROI, and transforming agentic AI from risk to strategic value. Learn from Arti Arora Raman, CEO Founder of Portal 26 and Neil Cohen, VP of Marketing in Portal 26 how Portal26's platform capabilities mitigate enterprise challenges around AI adoption, security, ROI, and governance.
AI agents operate autonomously at machine speed, making decisions and tool calls without human approval. But most enterprises don't know which agents are running, what they're accessing, or whether they're creating value or risk.
In this episode of AWS re:Think, host Malini and Preethi explores Portal26's Agent Management Platform (AMP) and how it helps enterprises discover, secure, and measure ROI from agentic AI. We discuss the five primary agentic AI security risks—from rogue agents to agent drift—and how organizations are using agent-level visibility to transform AI from an operational risk into a strategic asset.
Learn how finance teams are tracking token consumption, how security teams are identifying high-risk agents before they cause damage, and how enterprises are finally closing the gap between AI investments and returns.
Discover how to govern AI agents at the speed they operate.
Reference: https://portal26.ai/

AWS Hosts: Preethi Ravula & Malini Chatterjee
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In this episode we explore how companies should evaluate AI agents across multiple dimensions — including correctness, tool selection, multi-turn reasoning, and safety . The conversation covers building reliable evaluation frameworks, balancing automated vs. human-in-the-loop testing, and leveraging observability to debug agent behavior in production.

Links from the Show
AgentCore Evaluation: https://github.com/awslabs/agentcore-samples/tree/main/01-tutorials/07-AgentCore-evaluations
Strands Evaluation: https://strandsagents.com/docs/user-guide/evals-sdk/quickstart/

AWS Hosts: Nolan Chen & Malini Chatterjee
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In this episode we join AWS Senior GTM Specialists Aidin Khosrowshahi and Rakesh Kumar to unpack how Kiro is transforming software development through a spec-driven approach that goes beyond traditional AI-assisted coding. We cover what sets spec-driven development apart from "vibe coding" and why Kiro's spec-first approach matters. We also tackle the mindset shifts developers must make when adopting Kiro. The episode closes with a forward-looking discussion on whether the "Software Engineer" title could eventually be redefined—and the skills and first steps anyone needs to get started with Kiro today.
Try Kiro today:
kiro.dev
AWS Hosts: Nolan Chen & Malini Chatterjee
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"Its amazing to see the rate and pace of advancements in technology in 2025" Todd Pond, AWS Director of Strategic Sales, is out in the field with commercial customers every day, helping them leverage technology to solve their biggest problems, accelerate innovation and transform their businesses. He and his team have a deep understanding of these companies - the challenges they're up against, their limited resources, their unique value propositions, and how to enable their growth with maximum ROI. In this episode, we talk to Todd about the learnings from 2025 and get his actionable insights on the biggest opportunities for success in 2026 and beyond.

Aizon.ai provides an AI software platform for the pharmaceutical and biotech industries to optimize manufacturing processes, ensure GxP compliance, and improve product quality. Their top outcomes include financial savings and improved operational efficiency for clients. Aizon’s ability to optimize manufacturing production and quality in highly regulated industries by providing real-time visibility and predictive insights while ensuring GxP compliance. The AWS case study details how a pharmaceutical company utilized Aizon's AI platform to achieve double-digit yield improvements through clinical process optimization.
AWS Hosts: Nolan Chen & Gokhul Srinivasan
https://aws.amazon.com/solutions/case-studies/aizon-case-study/
https://aws.amazon.com/marketplace/seller-profile?id=5bb4e9b6-8a87-40d9-aea5-adc6ebcad7c0
https://www.aizon.ai/success-stories
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