Bolster is excited to share a major landmark in our path to making the internet a safer place…
The Bolster Blog
Thought provoking blogs discussing recent trends on digital risk protection services, phishing protection, threat intelligence, artificial intelligence, machine learning, brand protection and more!
Recent Posts
The Click That Stole Holidays: Black Friday and Cyber Monday Scams Unmasked
The onset of Cyber Monday and Black Friday deals is something we all stay up for. Whether it’s discounted vacation travel packages, instructional offers to.
Exploring the Risks of IPFS in Phishing Attacks
Introduction The InterPlanetary File System (IPFS) is a cutting-edge technology designed to revolutionize how we store and share data across the internet. It offers a.
Mid-Year Report
Phishing in Focus: Bolster's 2024 Mid-Year Phishing and Online Scam Update
With the unprecedented surge in phishing attacks sparked by AI, protect your business with data into key phishing and scam trends including election fraud, industry-targeting, and consumer interest scams.
Scaling Brand Protection for Enterprises with AI in 2023
Brand Protection for the Modern Enterprise It’s no secret that…
To Scale Your Brand Protection Think AI and Automation
Modern Brand Protection is an InfoSec Problem In our…
Brand Protection Takes Priority for InfoSec Teams in 2022
Risks to Online Brands Skyrocket Heading into 2022 As…
Logo Detection - Your Secret Weapon for Online Brand Protection
Introduction Artificial intelligence and machine learning continue to show promising…
6 Critical Success Factors for Effective Online Brand Protection
Fraud on the Internet Happens Fast To establish effective online…
How to Protect Your Brand Against Phishing Attacks
Cybercriminals never sleep when it comes to tricking your customers…
What is a Brand Protection and Monitoring Tool and How Does it Work?
Plenty of work goes into developing a brand’s image, from…
How to Protect Your Brand: Tips and Tricks From Bolster
Brands get defrauded every day. Crowds of counterfeiters create fake…
