
15/05/2025
Cybersecurity and AI: Securing the Invisible Core
In today's world driven by AI, we often focus on models, algorithms, and outputs. But beneath it all lies the powerful hero the training data.
Cybersecurity in AI doesn't begin at deployment. It starts at data ingestion.
If the training datasets are compromised, poisoned, biased, or manipulated then no matter how advanced the model is, its security and reliability are at risk.
This is especially critical in:
a. Healthcare AI diagnosing patients
b. Financial AI detecting fraud
c. Cybersecurity AI defending networks
As professionals in cybersecurity, we must treat data integrity with the same rigor as network security or endpoint protection. Because ultimately, the security of AI is only as strong as the data it's built on.
Let’s start asking the hard questions:
Who owns the training data?
How was it validated?
Could it have been tampered with?
It's time we evolve our threat models to include data centric risks.