Discover how Detectify's hacker-DNA culture, multi-account AWS architecture, and Claude Code on Bedrock helped a lean security team deliver zero-day protection to customers before they even knew they needed it.

Topics Include:

• Haris Kabiljagić leads cloud operations, data, and scanning at Detectify.
• Detectify started in 2013 as a group of ethical hackers in Stockholm.
• The platform continuously scans customers' attack surfaces for exploitable vulnerabilities.
• A global community of elite ethical hackers feeds real-world payloads into the engine.
• Early on, a centralized cloud team caused over 40 service disruptions monthly.
• A multi-account AWS strategy via Control Tower eliminated disruptions entirely.
• The hardest part of decentralizing wasn't technology — it was the culture shift.
• Cloud ops had to evolve from gatekeepers into enablers of secure, fast deployment.
• Detectify's architecture runs on three pillars: scalability, event-driven services, and security.
• MSK and Amazon MQ replaced self-hosted RabbitMQ, enabling true event-driven microservices.
• AWS Security Hub provides a single pane of glass for security posture visibility.
• When the CAPS zero-day hit, Detectify delivered a live test to customers same day.
• Customers logged in braced for panic — and found the threat was already handled.
• AI-assisted development via Claude Code on Bedrock accelerated code migration 30x.
• The team moved from five modules per week to 150, without sacrificing review quality.
• Success is now measured by speed of remediation, not volume of vulnerabilities found.
• A new internal scanner lets customers protect applications before they ever reach production.
• Detectify's roadmap: make security effortlessly native inside the pipelines teams already use.

Participants:

• Haris Kabiljagić - Head of Developer Services, Detectify
• Johan Broman – EMEA ISV, Head of Solutions Architecture, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Dynatrace's Chief Technology Strategist Alois Reitbauer explains how AI-powered observability is moving beyond monitoring to autonomously fixing software issues — and why the best AI doesn't replace human judgment, it sharpens it.

Topics Include:

• Dynatrace helps global enterprise companies observe, optimize, and protect their software.
• The platform goes beyond monitoring — it takes automated action to fix issues.
• Business observability connects technical data to real-world operational decisions.
• Dynatrace has been investing in AI for 14 years, starting with root cause analysis.
• AI eliminates human confirmation bias when diagnosing critical system failures.
• Generative AI now enables Dynatrace to propose and implement code-level fixes.
• AI works best augmenting humans — like a GPS, not an autopilot.
• The Dynatrace-AWS partnership began with aligning on a shared long-term vision.
• Joint engineering calls and shared roadmaps made the two teams feel like one.
• Dynatrace experienced Amazon's famous silent document-reading meeting culture firsthand.
• Good partnerships require honesty, investment, and knowing when to say no.
• AI is maturing from an efficiency play toward genuine human augmentation.

Participants:

• Alois Reitbauer – Chief Technology Strategist, Dynatrace

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Vercel's VP of Engineering Lindsey Simon unpacks how AI is transforming web deployment — from self-driving infrastructure and automatic rollbacks to prompt-to-app magic and what coding will look like by 2027.

Topics Include:

• Vercel turns a simple git push into a live URL, fast
• Customers range from solo indie devs to major enterprises globally
• Under Armour, Reuters, and Polymarket all run on Vercel's platform
• AI agents can detect failed deployments and automatically suggest fixes
• Vercel calls this approach "self-driving infrastructure" — a post-AI evolution
• The AI SDK lets developers write model-agnostic code across any provider
• V0 lets anyone generate a full app just by typing a prompt
• The AI Gateway provides intelligent model fallbacks and cost efficiency
• Vitamins vs. painkillers: Vercel only builds what customers genuinely need
• AI works best when code has structure, types, and tests already in place
• AWS Bedrock helped Vercel scale V0 when it went unexpectedly viral
• Vercel's AI philosophy: "let it rip" — with smart guardrails around data
• Weekly "Demo Days" put every engineer in front of 200 colleagues to present
• Design is a company-wide discipline, from product UI to office signage
• A new AWS integration makes provisioning Aurora and DynamoDB just a few clicks

Participants:

• Lindsey Simon – Vice President of Engineering, Vercel

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/