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Armorblox’s Natural Language Processing Solution To Protect Against Data- And Identity-Related Attacks, Raises USD 16.5 Million

Artificial Intelligence News

Armorblox’-Natural-Language-Processing_Solution-To-Protect-Against-Data-And-Identity-Related-Attacks-Raises-USD-16.5-Million Armorblox’s Natural Language Processing Solution To Protect Against Data- And Identity-Related Attacks, Raises USD 16.5 MillionSan Francisco-based a venture-backed stealth Cybersecurity startup, Armorblox is developing a Natural Language Processing (NLP) solution that can secure human communication and has raised USD 16.5 million in venture capital. The funding was led by General Catalyst, in participation with Microsoft chairman John Thompson, former U.S. chief data scientist DJ Patil, Google VP of security engineering Gerhard Eschelbeck, and other individual investors.

The startup’s new solution, which it plans to demonstrate at the RSA Conference in March, asses susceptible information in emails and documents and to protect against data- and identity-related attacks. According to Armorblox Co-founder Dhananjay Sampath, email messages and files have become more risk vector for breaching data. He explained through an instance where a survey reported that 91 percent of Cyberattacks initiate with a spear phishing email or a personalized and highly targeted email with malicious file attachments and links. The company aimed to shrink time-consuming workflows for Cybersecurity officials who work behind detection, incident response, and compliance.

For analyzing enterprise data from emails, documents, and other enterprise applications, Armorblox combines Deep Learning and natural language, and the company said its NLU platform (Natural Language Understanding) will empower employees to better secure company data.  Its NLP engine obtains insights from enterprise communications and data, and then it provides policy advice by learning over time about organization’s mission-critical, attempted breach and automatically conveys alerts to the germane people and teams.