AI EcoSystem
An Intuitive AI-Powered Platform
Our AI-powered CTEM ecosystem brings together intelligent capabilities to create a proactive, automated, and continuously adaptive security framework. The AI components work together to enhance visibility, accelerate risk analysis, automate decision-making, and strengthen cyber resilience across the enterprise.
In an era where cyber threats are becoming more sophisticated and AI-driven, an AI-powered CTEM ecosystem enables organizations to move beyond reactive defense - continuously anticipating threats, adapting to changing risks, and building a proactive security posture designed for the digital future.
AI Assistant
Users can converse naturally with the cybersecurity system, request data, and make informed decisions faster through live interaction.
Automates case creation by allowing users to assign incidents, set due times.
Vulnerability Remediation Guidance: Provides actionable recommendations for identified and unpatched vulnerabilities, including vendor-specific mitigation and remediation steps.
Guided Penetration Testing: Delivers step-by-step instructions to perform penetration testing on identified vulnerabilities aligned with industry best practices.
Automated Scanning & Exploitation: Automates vulnerability scanning and penetration testing across assets, Web Applications and Large Language Models.
AI Engine
AI-powered intelligence engine that transforms billions of security signals into predictive detection rules automatically.
Learning continuously from every scan across all scanners, it builds and refines detection logic in real time, delivers predictive risk analytics, and provides a unified intelligence layer that enables faster, smarter, and more proactive threat detection.
AI Scanner
AI Scanner is an integrated SecureX360 capability that automatically scans assets to detect deployed LLM models and assess their security posture. It identifies configuration and implementation vulnerabilities, including unsafe integrations and exposed endpoints.
Performs controlled prompt injection attempts against both endpoint-hosted and internet-facing LLM models to validate their resilience against real-world attacks.
AI Rule Builder
Create an AI-powered intelligent security use case and continuously evaluate the environment, notifying the stakeholders immediately via notifications and email when a matching use case is detected.
