ShieldSquare is listed as a late stage vendor in Forrester's New Tech: Bot Management, Q3 2018 report. Click to know more.

ShieldSquare receives the 2018 Frost & Sullivan Global Customer Value Leadership Award in Bot Risk Management



Automated accounts have an enormous presence on social media platforms. A growing amount of social media content is created and amplified using fake accounts operated by bots. Large collections of social bots, also known as botnets, attempt to affect the perception of people about brands, public figures, and socio-political debates. Social media bots also cause fake ad impressions. ShieldSquare safeguards your social media platform against bad bots in real-time. We provide contextual intelligence on bots patterns, signatures, and intent to help you keep malicious bots away.


Impact of Bots on Social Media Networks

Content, Trends, and Profile Data Scraping

Fraudsters deploy bots on social media portals to scrape unique content and publicly available user information. Many organizations use automated traffic to scrape trends and user-generated content for sentiment analysis. Unauthorized scraping also impacts your ability to monetize content.

ShieldSquare applies intent analysis and adaptive learning techniques to understand the intent behind bot attacks on your social media platform. We use device and browser fingerprinting to accurately detect and mitigate sophisticated automated activity on social media networks.


Content and profile data scraping

Fake News and Influence on Public Opinion

Anonymous commentators and hacktivists use bots to spread fake news or inflame online debates. Businesses also influence brand perceptions through non-human interactions. Bots hijack hashtags and trends to manipulate public opinion. They also perform click farming and tweetstorm. Dissemination of inaccurate information adversely affects the reputation of brands, political parties, and individuals.

Proprietary Intent-based Deep Behavior Analysis (IDBA) leverages the latest developments in deep learning to detect automated amplification and engagement on social networks. ShieldSquare’s bot detection engine identifies large-scale hordes of social botnets that hijack discussions and disrupt social forums.



Fake news and public opinion

Fake Accounts and Account Takeover

Fake accounts amplify social signals including likes, shares, views, and skew the results of online polls. Bots distort the data that is used for opinion mining, social listening, and consumer behavior prediction. Botnet operators perform credential stuffing attacks and use stolen credentials to take over accounts. Compromised accounts of businesses and individuals lead to unauthorized publication of confidential information, reputational damage, financial losses, and disclosure of personal data.

We collect device, browser, and account-specific parameters to differentiate between genuine and fake accounts. We provide detailed traffic analytics based on the analysis of user interactions to help you filter fake accounts, and also stop illegal activities through these accounts.



Fake account and account take over

Benefits

Secure Content and User Information

Secure Content and User Information

Block Fake News and Propaganda

Block Fake News and Propaganda

Spot and Remove Fake Accounts

Spot and Remove Fake Accounts

Industry Recognition

Forrester
Cited In Gartner’s Hype Cycle for Application Security
ShieldSquare is mentioned in Hype Cycle for Application Security, 2018 for the second consecutive year
Forrester
Listed As A Late Stage Vendor In New Tech: Bot Management, 2018
Forrester has positioned ShieldSquare as a ‘Late Stage’ vendor for technology maturity
Forrester
Received Customer Value Leadership Award, 2018
ShieldSquare recently received the Customer Value Leadership Award in the Global Bot Risk Management (BRM) Market from Frost & Sullivan
Gartner
Cited In The Gartner Marketing Technology Vendor Guide, 2018
Gartner has listed ShieldSquare in the Marketing Technology Vendor Guide for its ad verification capabilities

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