Rethinking the Architecture of Trust

Why AI demands we dismantle outdated silos between cybersecurity, privacy, and ethics

Photo by on

Historically, privacy and cybersecurity sat in separate corners.
Privacy deals with legal norms and individual rights.
Cybersecurity focuses on technical defenses and infrastructure.
Both had their lanes, and for a while, that division made sense.

Then came AI.

AI systems aren’t just lines of code — they are now embedded in human systems. They carry the weight of policy, culture, incentives, and power.
When something breaks, it’s not just going to be a bug or a breach — it’s a systemic breakdown.

Consider this:

• A data breach? That’s cybersecurity.
• A consent violation? That’s privacy.
• A discriminatory algorithm? That’s AI ethics.

But what if these aren’t separate problems at all? What if they reflect one core issue: siloed thinking?

Socio-Technical Problems Need Socio-Technical Teams

We can’t keep trying to solve complex AI problems in separate rooms.