At Rankiteo, we continuously strive to refine our cybersecurity insights. Today, we’re excited to announce a major upgrade: our new algorithm for fetching and automatically scoring cybersecurity incident news related to companies.
A Smarter, More Accurate Scoring System
Understanding a company's cybersecurity posture goes beyond static evaluations. Real-time incidents, breaches, and vulnerabilities significantly impact risk assessment. Our new algorithm enhances our ability to:
- Automatically detect and fetch security-related news tied to specific companies.
- Analyze and score the severity of incidents using advanced data models.
- Provide more accurate and contextualized risk assessments based on real-world events.
40% More Accurate Incident Detection
Thanks to improvements in machine learning and natural language processing (NLP), our system now achieves 40% higher accuracy in identifying and categorizing cybersecurity incidents. This means:
✅ Fewer false positives – ensuring only relevant incidents impact a company’s score.
✅ Better ranking of threats based on real-world severity.
✅ More precise insights for users monitoring companies’ security health.
What This Means for Rankiteo Users
- Businesses can better assess their own risk exposure and track competitors.
- Investors & analysts gain real-time insights into a company’s cybersecurity posture.
- Customers & partners can make more informed decisions based on reliable threat data.
#TPRM #NLP #AI #MACHINLEARNING