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AI-EndPoint-KrishnaG-CEO

🛡️ Cylance PROTECT by BlackBerry: AI-First Endpoint Security for the Enterprise

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CylancePROTECT, developed by BlackBerry, is a predictive AI-driven endpoint protection platform (EPP) that proactively prevents known and unknown cyber threats without requiring signatures or constant updates. Built on a lightweight agent and powered by a proprietary machine learning (ML) model, CylancePROTECT focuses on prevention-first security, aligning well with VAPT strategies and agentic cybersecurity operations.

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🛡️ SentinelOne Singularity: Autonomous Cybersecurity at Machine Speed

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SentinelOne Singularity is an AI-native extended detection and response (XDR) platform that merges endpoint, cloud, identity, and network telemetry into a single autonomous cybersecurity solution. Built for precision, scalability, and proactive defence, it enables enterprises to see everything, know everything, and act at machine speed.

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🧠 Vectra AI Cognito: Agentic AI for Proactive Threat Detection and Response

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Vectra AI Cognito is an advanced AI-driven threat detection and response platform designed to detect hidden cyber attackers—especially those bypassing traditional perimeter defences. It excels in identifying network-based anomalies, cloud intrusions, and lateral movement in real time, making it an invaluable component in a modern VAPT-informed cybersecurity strategy.

MS-Def-XDR-KrishnaG-CEO

🛡️ Microsoft Defender XDR: Unified Extended Detection & Response for Enterprise-Grade Security

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🛡️ Microsoft Defender XDR: Unified Extended Detection & Response for Enterprise-Grade Security 🎯 Executive Summary Microsoft Defender XDR (Extended Detection and Response) is a cloud-native, AI-driven cybersecurity platform that integrates signals across endpoints, email, identities, applications, and cloud infrastructure. It offers deep threat visibility and coordinated defence mechanisms, helping organisations stop breaches before they escalate. …

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Agentic AI in Information Security: A Game Changer in VAPT for C-Level Executives

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Agentic AI refers to artificial intelligence systems capable of autonomous goal-setting, decision-making, and adaptation within complex environments. Unlike traditional AI systems that operate on predefined rules or supervised learning models, agentic systems are: