- We’ll be at ISS World MEA 2026, JW Marriott Marquis Hotel, Level 6 | 30th June - 2nd July, 2026 | B-80
ECC Compliance requires implementing Essential Cybersecurity Controls (ECC 2-2024) to protect information and technology assets and reduce cyber risk. It establishes a structured baseline across governance, defense, resilience, and third-party security, with continuous monitoring and NDR-driven threat detection supporting visibility, incident response, and ongoing security improvement.
Network Behavior Anomaly Detection (NBAD) monitors network activity to identify deviations from normal behavior. By analyzing traffic patterns, protocols, and usage trends, it detects advanced threats and hidden risks. Within NDR environments, NBAD highlights anomalies, which are then correlated and investigated to provide deeper network visibility and context.
JA3 and JA3S fingerprinting analyze TLS handshake behavior to identify client and server communication in encrypted traffic. By focusing on connection patterns, they help detect malware, uncover anomalies, and support threat hunting and investigation without accessing payload data.
JA4 and JA4S TLS fingerprinting enable encrypted traffic analysis by identifying client and server behavior through handshake patterns. They help detect anomalies, uncover hidden threats, support threat hunting, and strengthen network security without requiring decryption of communication content.
Chain of custody ensures that digital evidence remains authentic, traceable, and legally defensible from capture to court or regulatory review. It governs how communication records, network traffic, and reconstructed sessions are collected, preserved, analyzed, and disclosed. Across crime investigations and cybersecurity operations, strong custody controls protect evidentiary integrity, compliance outcomes, and attribution credibility.Â
Metadata analysis helps investigators and security teams understand digital activity by examining contextual information such as communication patterns, network behavior, and system records. By focusing on who interacted, when, where, and how often, it enables law enforcement and cybersecurity professionals to detect threats, reconstruct incidents, and uncover hidden connections, even in encrypted environments. It plays a critical role in modern digital investigations, threat hunting, and incident response.
A deepfake is AI-generated synthetic media that imitates real people’s voices, faces, or actions to appear authentic. Created using deep learning and large datasets, it can take the form of videos, audio clips, images, or text. While deepfakes have legitimate uses, they are often exploited for fraud, impersonation, and misinformation, making detection difficult and challenging traditional methods of verification.Â
Ransomware activity is typically preceded by network behavior such as unusual authentication, lateral movement, and command-and-control communication. Network Detection and Response (NDR) identifies these patterns across systems and time, enabling earlier detection and containment before encryption occurs.
A Man-in-the-Middle (MitM) attack is a cyberattack where an attacker intercepts and manipulates communication between two parties, compromising confidentiality and integrity. These attacks often target weak encryption or insecure networks and can lead to data theft and unauthorized access.
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