Why is big data described as a "double-edged sword" for privacy?

The same massive data flows that drive breakthroughs in healthcare, finance, and security also expose individuals to surveillance, discrimination, and identity theft.

Every day the digital world generates zettabytes of data from smartphones, IoT sensors, social platforms, and enterprise systems. That volume powers genuine good — disease research, fraud detection, security analytics.

But the same data, in the wrong hands or poorly governed, enables:

• Mass surveillance and profiling.
• Discrimination (e.g. denying services based on inferred traits).
• Identity theft and financial fraud.

The core lesson: the value of big data and its privacy risk grow together. You can't separate the upside from the downside by volume alone — you need privacy engineering.