Forte Spotlight: Data Engineering, Secure AI, and the Road to Intelligent Infrastructure
As a CTO, I’ve seen a pattern emerge over the last quarter: the organizations making real progress with AI aren’t those chasing the newest models. They’re the ones building smarter foundations.
In this edition, we focus on what that looks like in practice, from secure AI systems to modern data stacks and the growing role of data engineering in business transformation.
-- Lucas Hendrich, CTO, Forte Group
Data Engineering as the Growth Frontier
Every company today is a data company, whether they acknowledge it or not. The challenge isn’t collecting data, but transforming it into a strategic advantage.
That’s why I believe data engineering is the next growth frontier for organizations.
At Forte Group, we’ve seen firsthand that the value of data doesn’t come from volume or compute power. It comes from alignment across what we call the three pillars of data engineering excellence:
Why does this matter? Because companies that invest in data engineering aren’t just modernizing infrastructure: they’re building the foundation for AI-driven products, faster innovation, and long-term resilience.
In today’s market, competitive advantage isn’t won by who has the most data, but by who can use it best. That’s why, at Forte Group, we see data as the engine of growth for the next generation of businesses.
Mitigating Prompt Injection Vulnerabilities in LLM-Integrated Agent Systems
As more enterprise teams adopt LLM-powered agents, one risk has become impossible to ignore: prompt injection.
Unlike traditional injection attacks, prompt injection hijacks the intent of LLMs via adversarial inputs hidden in untrusted content. These attacks can lead to unauthorized data access, behavioral overrides, and indirect system compromise—especially when combined with jailbreak techniques.
In my latest article, I break down:
LLMs are powerful, but they require a new security model.
Data Engineering Evolution: Critical Trends Reshaping the Modern Stack
The data engineering landscape is shifting, driven by cost pressures and AI-first architecture demands. Several transformative trends are shaping how mid-market technology leaders build:
These shifts point toward a more intelligent, automated, and cost-effective data stack, and a more strategic role for data engineering.
CTO2CTO Podcast: Join the conversation!
Every month on CTO2CTO, I sit down with other technology leaders to have real conversations at the intersection of technology, leadership, and AI.
We go beyond frameworks and buzzwords to talk about the hard parts: scaling teams, managing risk, building with AI, and keeping engineering focused on real business outcomes.
Listen in to hear how other CTOs are navigating the same challenges you’re facing today.
And if you’re a CTO or tech leader who’d like to share your experience, I’d love to have you on the show. DM me here or email marketing@fortegp.com. Let’s make it happen.
Thank You
Thanks for reading this month’s Forte Spotlight. If you're tackling these challenges or planning your 2026 roadmap, let’s talk. Our teams work with mid-market leaders to build secure, AI-ready systems that deliver measurable results.
--Lucas Hendrich, CTO, Forte Group