Key Capabilities / Features

Machine learning (ML) models are continuously trained on Cyble Vision’s aforementioned network data sources to improve the platform's ability to recognize threat vectors and predict potential attack patterns. By analyzing the tactics, techniques, and procedures (TTPs) associated with threat actors, Cyble Vision anticipates potential breaches and helps organizations defend themselves proactively.

Cyble Vision incorporates AI across various other functionalities. Its AI-driven alert system utilizes natural language processing (NLP) capabilities to detect threats in online conversations by identifying specific language patterns, sentiments, and subtle nuances in cybercriminal dialogues. The context surrounding each alert, including the potential impact, urgency, and relevance of the threat to the organization, helps security teams focus on the most pressing risks while freeing up time to focus on other initiatives.

Cyble Vision also covers content targeting with AI tagging, executive monitoring with AI-driven face recognition, and logo monitoring with advanced AI detection capabilities. These features protect brand integrity, executive security, and sensitive information more effectively. Plus, the platform's external attack surface management leverages AI to identify potential vulnerabilities, including infected endpoints, critical system weaknesses, exposed credentials, and vulnerable users.

During a breach, Cyble Vision's AI algorithms help validate incidents by monitoring dark web chatter and tracking brand mentions on cybercrime forums and marketplaces. The AI engine analyzes threat actor behavior and intent to determine whether a threat is likely to escalate or spread, and it creates comprehensive profiles that identify the tactics and tools associated with different cybercriminal groups.

Post-breach, the AI capabilities of Cyble Vision support incident response, malware analysis, reverse engineering, and forensic investigation. Its range of AI-powered modules, including BotShield for identifying compromised hosts and a unique deepfake detection module, further showcase the platform's advanced threat detection capabilities.

How we are different

- The success of Cyble Vision's AI-driven approach is reflected in customer feedback. According to Gartner Peer Insights, 92% of customers express a willingness to recommend it to their peers and colleagues. This high satisfaction rate attests to the platform's AI-powered excellence in meeting diverse cybersecurity needs and empowering businesses to navigate complex threat environments.

- Cyble continuously enhances the AI algorithms of Cyble Vision through frequent updates and new feature releases. This commitment to AI advancement ensures the platform evolves to detect and analyze emerging threats effectively and help organizations stay ahead of attackers.

- The platform's AI capabilities extend beyond data processing to user interface enhancements. The new "Executive Insights" dashboard uses AI to consolidate the most critical intelligence into a single, easy-to-use interface. An AI-powered filter system allows users to effortlessly navigate through enormous datasets, ensuring relevant information is always at their fingertips.