Sparkcognition Prevents Document-Based Phishing Attacks with Deeparmor
Leading AI Company Demonstrates Weaponized Document Protection at Future Tech Conference Time Machine
Global artificial intelligence company, SparkCognition, announced the addition of a weaponized document protection feature to its cybersecurity solution, DeepArmor. DeepArmor is the first endpoint protection solution to apply machine learning to the pre-execution detection of weaponized documents–including PDFs, legacy Office documents, and modern Office documents–without using signatures, heuristics, or rudimentary control features. With the addition of its weaponized document protection feature, DeepArmor is utilizing artificial intelligence (AI) to prevent document-based phishing attacks.
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Built entirely from AI, DeepArmor leverages the power of big data and SparkCognition’s patented machine learning algorithms to offer advanced protection against the most sophisticated cyber attacks. DeepArmor enables organizations to immediately improve their security posture while eliminating signature updates and management complexity.
“As document-based phishing attacks become more sophisticated and prominent in the industry, forward-thinking organizations must make the prevention of this emerging attack vector a priority,” said Bryan Lares, Director of Product Management at SparkCognition. “By adding cutting-edge AI technology to endpoint security, SparkCognition is delivering unmatched detection and prevention of these malicious files. With DeepArmor’s unique approach to cyber defense, we are providing our customers with the level of security they need to continue their operations with confidence.”
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During rigorous testing, DeepArmor demonstrates 99.7% efficacy in detecting zero-day attacks, better than all 1st Generation and Next Generation endpoint protection solutions on the market. Using patented and patent-pending algorithms, DeepArmor enables new threats to be detected in a pre-execution state, before they can download their payload, execute a script, or launch an embedded executable.
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