Cybersecurity companies discuss AI integration for enhanced risk management

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The Company Filings Analytics Database of GlobalData reveals a trend in the cybersecurity industry-the integration of AI capabilities in incident response, threat detection, and prediction.

AI-powered risk management

BlackBerry Ltd launched an enhanced AI-based Cylance cybersecurity solutions portfolio, including a significant update to its patented Cylance AI engine to improve threat prediction capabilities and a generative AI-powered cybersecurity assistant.

Further, Palo Alto Networks Inc. has launched AI-powered data security integrated into secure access service edge (SASE), leveraging large language model (LLM)- powered data classification, combining context-aware machine-learning models with LLMs.

Fortinet Inc. has introduced GenAI-based tools to strengthen security and increase operational efficiency, as well as enhancements across its security operations, including new AI and machine learning capabilities, additional real-time response, and automation capabilities.

SentinelOne Inc. launched an AI security system through Purple AI. The company’s Static AI model also predicts file-based/“zero-day attacks.” The Behavioral AI model maps,…

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