Leveraging advanced ML and behavioral analytics, Sharelock empowers organizations to detect and mitigate security threats effectively, safeguarding critical assets and preserving operational resilience
*** Corporation is transitioning to a Zero Trust model of information security to tackle evolving cyber threats and digital transformation initiatives. Traditional security measures are proving insufficient, making the safeguarding of user access to critical resources a top priority. Sharelock Identity Threat Detection and Response (ITDR) addresses these challenges by leveraging advanced machine learning (ML) and behavioral analytics to strengthen user security within a Zero Trust environment.
The erosion of traditional perimeters necessitates a new approach to user access security. Conventional security methods are struggling to adapt to this evolving threat landscape, leaving organizations vulnerable to sophisticated cyber attacks.
Sharelock ITDR, a holistic ML-based platform, is designed to handle the complexities of user access security in a Zero Trust paradigm. It uses NeuroFlare™, a groundbreaking technology that enables real-time classification of unstructured data, revolutionizing user classification and enhancing the sensitivity of Sharelock’s Indicators of Behavior (IoBs) for precise threat severity assessment.
Sharelock ITDR’s Behavioral User Classification is versatile and adaptable, capable of addressing various security scenarios. By integrating real-time classification of unstructured data, Sharelock enhances the sensitivity of its IoBs, enabling precise threat detection and severity assessment.
Sharelock also dynamically adjusts security measures based on evolving risk profiles, ensuring organizations maintain resilience against evolving cyber threats.
For more detailed information, please download the full document.
