All news with #ndr tag

🛡️ Fortinet expands its NDR portfolio with FortiNDR Cloud and on‑prem FortiNDR, adding dynamic deception, a post‑quantum cryptography (PQC) dashboard, and an on‑premises AI investigation capability. The PQC dashboard surfaces quantum‑vulnerable encryption from network traffic without new agents, while dynamic deception integrates with FortiDeceptor and Fortinet Automation Service to misdirect attackers. FortiAI Sovereign provides AI‑driven investigation fully within air‑gapped environments, eliminating cloud dependence.

🔍 Modern attackers use AI to imitate trusted users, tools, and services, making many incidents malware-free and harder to detect. The article compares these tactics to art forger Elmyr de Hory and outlines threats such as agentic AI, supply-chain impostors, cloaked tunnels, rogue infrastructure, and sophisticated phishing. Network Detection and Response (NDR), including Corelight’s Open NDR Platform, is highlighted as essential for spotting behavioral anomalies, protocol inconsistencies, and contextual metadata to expose impostors early.

🧭 I spent a day using Corelight's Investigator NDR to learn how network detection and response supports SOC workflows. The interface prioritized high-risk detections, showed packet-level evidence and MITRE ATT&CK context, and let me dig into suspicious DNS, reverse shells, and exploit tool activity. Built-in GenAI provided step-by-step investigative actions, and integrations with SIEM, EDR and firewalls demonstrated how NDR enriches and correlates network telemetry for faster triage.

🔍 Cloud migrations have introduced dynamic infrastructure, container sprawl, and multi‑cloud complexity that often create blind spots and make cloud-native logs inconsistent. Network-layer telemetry and Network Detection and Response (NDR) offer a consistent, provider-agnostic signal that analysts already know how to read. Combining mirrored traffic, flow logs, TLS metadata, DNS, and container context helps detect exfiltration, C2, cryptomining, and suspicious admin activity. Operationalizing these signals—baseline tuning, egress monitoring, and continuous validation—improves cloud defense.

🛡️AI-driven attacks are rapidly evolving, with adversaries using LLMs to conceal code and generate malicious scripts that can shape-shift to evade traditional defenses. Recent disclosures, including Google's threat intelligence and Anthropic's November 2025 report of an AI-orchestrated espionage campaign, highlight automation across intrusion lifecycles. The piece emphasizes that pairing NDR and EDR enables correlation of network anomalies and endpoint telemetry, and cites Corelight's Open NDR Platform as an example of layered, behavioral detection to surface threats that slip past EDR alone.

🔒 NETSCOUT was named a leader in Quadrant Knowledge Solutions' 2025 SPARK Matrix for Network Detection and Response, emphasizing its packet-level approach to security. Its Omnis Cyber Intelligence platform and proprietary Adaptive Service Intelligence (ASI) apply patented deep packet inspection at scale to produce enriched Layer 2–7 metadata. Continuous packet capture enables retrospective forensics independent of detection, and the vendor promotes a "Visibility Without Borders" model to cover physical, virtual, and cloud environments.

🔐 Corelight outlines six cyber threats to prioritize in 2026, driven by advances in AI, automation, and more sophisticated social engineering. Key concerns include agentic and shadow AI misuse, deepfakes in phishing, AI-orchestrated ransomware, accelerated vulnerability discovery, stale scanning practices, and multicloud blind spots. Recommendations focus on improved hybrid visibility, continuous scanning, Zero Trust access, digital identity verification, and deploying NDR alongside AI-enabled incident response to reduce detection gaps.

🤖 Offensive AI is accelerating cyberattacks, automating reconnaissance, malware orchestration, and large-scale credential harvesting. Security teams and observers such as Google Threat Intelligence and Anthropic warn these techniques can bypass legacy defenses and overwhelm manual SOC processes. Network Detection and Response (NDR) solutions provide continuous network visibility, real‑time analytics, and automated triage to detect polymorphic threats, reduce false positives, and speed incident response.

🔍 NETSCOUT’s Omnis Cyber Intelligence was named “Overall Network Security Solution of the Year” in the ninth annual CyberSecurity Breakthrough Awards. The platform delivers always-on, packet-based visibility using scalable deep packet inspection to continuously capture, analyze, and retain high-fidelity network metadata. Its on-sensor storage minimizes data movement and helps address compliance and sovereignty requirements while providing the historical context analysts need to investigate threats across cloud and on-premises environments.

🔍 Recent ESG research finds that many organizations still turn to the network first for threat detection: 53% cite network visibility as their primary defense and 93% of SecOps and NetOps now share visibility tools. Packets offer an unaltered record of communications, making modern NDR essential across hybrid and multicloud environments. Detection is only the first step; full packet capture and deep network intelligence enable thorough investigation. NETSCOUT Omnis Cyber Intelligence unifies visibility and delivers packet-level context to reduce blind spots and accelerate response.

🔍 This article explains key differences between NDR, EDR and XDR and why a combined approach strengthens defense. EDR monitors endpoints using agents to detect local anomalies and malware but can leave visibility gaps where agents cannot be deployed or are bypassed. NDR analyzes packet-level traffic in real time and provides retrospective forensics to trace lateral movement and assess breaches. XDR is a strategy unifying telemetry from multiple tools, but without network context it can create blind spots.

🔦 Network visibility is the critical lens that turns detection into decisive action. ESG research cited in the article shows 98% of organizations say visibility helps them move from detection to response faster and with greater confidence. Detection raises the alarm; packet-level investigation reveals scope, lateral movement, and exfiltration so analysts can validate alerts and act precisely. The piece positions NETSCOUT Omnis Cyber Intelligence as a scalable DPI capability that unifies SecOps and NetOps across hybrid and multicloud environments to eliminate blind spots and enable targeted response.

🔍 Efficiency in security is about focus, not speed. ESG research finds 53% of organizations credit NDR with improving SOC analyst efficiency by reducing false positives and eliminating blind spots. Continuous packet capture and full-fidelity network visibility let analysts of all levels investigate with greater confidence and speed. NETSCOUT Omnis Cyber Intelligence is offered as a solution to provide that visibility and maximize scarce human resources.

🔍 ESG research shows that environmental complexity, not malware or phishing, is viewed by most organizations as the primary barrier to effective detection and response. As alerts proliferate and validation can take hours, teams are turning to the one transit every attack must cross — the network — for a reliable, unbiased source of truth. Shared network visibility between SecOps and NetOps, together with continuous packet capture, improves investigation speed and confidence. Vendors such as NETSCOUT Omnis Cyber Intelligence (OCI) deliver alert-independent, packet-level context and deep packet inspection to reduce dwell time and streamline incident response.

🛡️This article compares three related threat-detection approaches: Endpoint Detection and Response (EDR), Network Detection and Response (NDR) and Extended Detection and Response (XDR). It explains that EDR focuses on endpoint agents and can leave visibility gaps, while NDR analyzes packet-level network traffic for real-time detection, forensic review and retrospective analysis. XDR is described as a strategy that unifies telemetry from multiple sources to accelerate response; when combined, these capabilities offer complementary coverage and reduced operational risk.

🔍 Network Detection and Response (NDR) can reveal dark web activity that hides within routine enterprise traffic by identifying anonymization protocols, unusual ports, and anomalous behavioral patterns. The article outlines four practical steps: identify dark web gateways (Tor, I2P, Freenet), understand NDR capabilities, deploy sensors across core, edge and internal segments, and run detection and hunting workflows including baselining, Tor/I2P/P2P monitoring, DNS and VPN checks. It emphasizes automated alerts for characteristic Tor ports and signatures, lateral-movement detection, C2 beaconing analysis, and enrichment with threat intelligence, and highlights Corelight’s Open NDR Platform as a vendor solution.