Privacy-Enhancing Computation (PEC) refers to a set of technologies and methods that allow organizations to process, analyze, and share data while preserving the confidentiality and privacy of that data. Instead of exposing sensitive information during use, PEC ensures that data remains protected even while being worked on.
Common PEC techniques include:
The goal: Enable innovation and collaboration (such as data sharing, machine learning, or analytics) while complying with privacy laws like GDPR, HIPAA, and CCPA.
In short:
For SMBs: PEC means safer growth, easier compliance, and stronger trust with customers.
For MSPs: PEC means new revenue opportunities, less liability, and a market edge by embedding privacy into their managed services.
Additional Reading:
CyberHoot does have some other resources available for your use. Below are links to all of our resources, feel free to check them out whenever you like:
Discover and share the latest cybersecurity trends, tips and best practices – alongside new threats to watch out for.
If a Chrome extension promises to remove security pop-ups and generate MFA codes, that should make you...
Read more
Cyberattacks usually start with phishing emails or weak passwords. This one did not. Security researchers...
Read more
Not surprising when Trouble Ensues Last summer, the interim head of a major U.S. cybersecurity agency uploaded...
Read moreGet sharper eyes on human risks, with the positive approach that beats traditional phish testing.
