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Welcome to Media Sonar

Brand Protection

Protect how your brand is presented online

Brand Protection is critical to growing a business. Public perception of a brand is a fragile thing and fraudulent uses of your brand can impact customer loyalty, sales, and even recruitment.

With visibility across the Surface, Deep and Dark web that Media Sonar provides, you can conduct efficient and effective searches of inappropriate uses of your brand and minimize the damage such activity can cause.

Online Impersonation

Brand impersonation is an increasingly common problem that brands are forced to deal with each day.

With Media Sonar:

Detect instances of brand impersonation, executive impersonation and rogue websites
Efficiently monitor situations as they unfold with custom alerts
Quickly see who interacted with fraudulent posts and online content

Counterfeit Products

Selling counterfeit products online, whether by fraudulently impersonating brands or covertly on the Deep Web and Dark Web, can damage brand health and may be dangerous for consumers.

With Media Sonar:

Gain visibility across the entire Internet, including the Deep Web and Dark Web, where counterfeit products may be sold

Create custom alerts across the web for each of your product lines

Media Sonar In Action

An international manufacturing company used Media Sonar to monitor global trends, keywords and brand sentiment across the Surface, Deep, and Dark Web to ensure the safety of their executive team after receiving a bomb threat to their CEO’s house. As part of the operations team’s routine, they now do daily searches for keywords and public sentiment to proactively stay ahead of any risks or mitigate potential threats.

Learn More

17 Jun: OSINT Advances With Natural Language Processing

The basis of all data-recording, sharing, and retrieval, regardless of the type of data – from computer code to war…

03 Jun: The Hidden and Visible Elements of OSINT: Part 3

In The Hidden and Visible Elements of OSINT: Part 2, we covered public conversations and how to identify language patterns…

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