BlackBerry has established itself as a leader in the field of AI and machine learning (ML) in cybersecurity for over a decade [2]. Their innovative predictive AI tools, including CylancePROTECT EPP, effectively combat new malware attacks [1].
Description
BlackBerry’s recent Global Threat Intelligence Report revealed a concerning 13% increase in novel malware attacks [2], highlighting the ongoing challenge of preventing these threats [2]. To address this, BlackBerry’s data science and machine learning teams have enhanced their AI tools through a composite training approach [1]. As a result, Cylance ENDPOINT has achieved an impressive 98.9% success rate in blocking threats.
The temporal aspect of ML models is crucial in cybersecurity [1], and BlackBerry’s model has demonstrated a strong temporal predictive advantage [1] [2]. Furthermore, their model has shown maturity and precise training [1], providing protection for up to 18 months without requiring a model update. With over 500 million samples and billions of features evaluated [2], BlackBerry’s latest model [1] [2], built upon vast and diverse datasets [1], delivers outstanding results with impressive speed [1] [2].
BlackBerry’s Cylance AI has proven to be a formidable defense against cyberattacks, surpassing competitors in terms of malware detection and speed [2]. Its multi-year predictive advantage has safeguarded businesses and governments globally [1]. Additionally, BlackBerry supports Canada’s Voluntary Code of Conduct for Generative AI and has received recognition for their cybersecurity solutions in third-party tests [1].
Conclusion
BlackBerry’s advancements in AI and ML have had a significant impact on cybersecurity. Their predictive AI tools have effectively blocked new malware attacks, providing businesses and governments with enhanced protection. As the threat landscape continues to evolve, BlackBerry’s commitment to innovation and their ability to deliver outstanding results will play a crucial role in mitigating future cyber threats.
References
[1] https://thehackernews.com/2023/11/predictive-ai-in-cybersecurity-outcomes.html
[2] https://www.redpacketsecurity.com/predictive-ai-in-cybersecurity-outcomes-demonstrate-all-ai-is-not-created-equally/
