Agenda
Check out the different topics, each representing a single block of talks and sessions to guide you through the program of DevTalks! We look forward to welcoming you to the event and providing you with an unforgettable learning and networking experience in the world of technology.
10:15 to 11:00
After the Code: Reimagining DevSecOps for Agentic Teams
DevOps Stage — 45 minutes DevOps Agentic AI
Code generation worked. That's the problem. Read More...
10:15 to 11:00
The Rise of "Vibe Coding" & Its Impact On Software Security
Cybersecurity Stage — 45 minutes Security Software Development Vibe Coding
Software development is shifting from syntax-driven to intent-driven. This is transforming not only the software developer's workflow, but also who in an organization feels empowered to code in the first place. Read More...
11:40 to 12:10
Vulnerability Management Process Evolution: The Journey Behind It
Cybersecurity Stage — 30 minutes Security
Vulnerability management is a field where everyone agrees on the theory - discover, report, triage, fix, verify, repeat - but how it's put into practice can look very different across organizations. Read More...
12:15 to 13:00
Me, Myself & AI: Compliance, Control and Trust in an Algorithmic Age
Cybersecurity Stage — 45 minutes Artificial Intelligence Machine Learning Security Real case studies
AI and machine learning promise transformative benefits, from efficiency and innovation to enhanced cyber defense. Yet this same technology is a double-edged sword. Read More...
14:00 to 14:45
When the Attack Landscape Is Re‑Mapping Every Minute, How Can the Defense Keep Pace?
Cybersecurity Stage — 45 minutes Security
Imagine a world where the threat landscape shifts every second. Vulnerabilities emerge and disappear before you can document them. Attack infrastructure rotates faster than you can block it. Threat actors deploy new tactics while you’re still analyzing the last one. Read More...
15:45 to 16:30
Debugging Trust in AI Products
AI Product Stage — 45 minutes Software Development Agentic AI
The industry is trapped in a cycle of genericism: 95% of AI pilots fail to scale because we are building products that are smart, but rarely wise. Too often, we design AI to act as a black box that demands blind reliance, which immediately spikes cognitive friction and trust latency. Read More...