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Vectra AI Blog

AI-Driven Network Detection and Response: Insights from a 2026 Gartner® Magic Quadrant™ Leader Securing AI Adoption Starts with Visibility by Aakash Gupta The Missing Data Layer Behind SIEM and SOAR Why Most SIEM/SOAR Integrations Break — and How to Fix Them Shai-Hulud Part 2: When the Worm Forged Its Own Security Certificate Improve SIEM and SOAR Workflows with Better Security Signal by Gearóid Ó Fearghaíl ShinyHunters isn’t a group. It’s a pattern. How Vectra AI Secures the AI Enterprise AI agents: the new workforce — and attack surface. by Tiffany Nip How Vectra AI Scoring Helps Security Teams Focus on What Matters First What’s Next for the Enterprise After Two GenAI Tidal Waves? If An Identity was Compromised, Would We Know? Help Over Hype: Claude Mythos, Project Glasswing and the Real Questions CISOs Want Answered Azure Logging just Changed - Your Detections May be Missing it by Alex Groyz When the Defender Becomes the Door: BlueHammer, RedSun, and UnDefend in the Wild by Justin Howe 4 Ways to Improve SOC Efficiency with AI by Jesse Kimbrel Why triage alerts - when AI can do it for you? Attackers Don’t Hack In — They Log In: The MFA Blind Spot The rise of supply chain-driven data theft in SaaS environments by Lucie Cardiet AI-Assisted Search: Clarity at the Speed of a Question What We Learned from Analyzing Millions of Alerts FortiClient EMS Zero-Day: When the Control Plane Becomes Initial Access by Lucie Cardiet Detecting Compromise After the Axios Supply Chain Attack. by Yusri Mohd Yusop Who’s Doing What on Your Network? by Mark Wojtasiak Breaking down the axios supply chain incident by Lucie Cardiet Detecting Sliver C2: When Advanced Beaconing Tries to Hide in Plain Sight Prompt Control: How Context Becomes the Command-and-Control Layer for AI Agents How Attackers Move Through Hybrid Networks After the Initial Breach How Attackers Establish Persistence in Hybrid Environments What the Stryker Incident Reveals About Handala’s Attack Playbook Why Cyber Resilience is Lagging in the AI Era 5-Minute Hunt: Six Queries to Detect Iranian APT Activity AI-Powered Attacks Are Here, But So Is AI-Powered NDR to Stop Them What is hiding in AI traffic AWS Compromised by AI Agents in Minutes The UX of Cybersecurity AI: Designing for Behavior at Machine Speed Molt Road and the Automation of Underground Marketplaces Moltbook and the Illusion of “Harmless” AI-Agent Communities From Network Detections to Understanding Risk: The Vectra AI Take on Gartner’s Redefinition of NDR From Clawdbot to OpenClaw: When Automation Becomes a Digital Backdoor Securing the AI Enterprise: How I’m Thinking About It as a CEO Cybersecurity Predictions 2026: AI, Agents, and SOC Defense OPSEC Failures: How Threat Actor Mistakes Help Defenders How Threat Actors Turned AI Into a Weapon CVE-2025-14847 MongoBleed in the Wild: Identifying MongoDB Exposure and Exploitation with Network Metadata Pro-Russia Hacktivists Are Targeting Critical Infrastructure How Vectra AI Connects Network Detections to Endpoint Processes Automatically by Dale O’Grady How Vectra AI and CrowdStrike Deliver Complete Context Across Endpoint and Network by Tiffany Nip You are the Blackboard - AI Agent Assisted Bug Hunting TCP Reset Does Not Stop Modern Attacks – Here's Why Shai-Hulud: When a Supply-Chain Incident Turns Into a Worm How Typhoon APTs Infiltrate Infrastructure Without Leaving a Trace Think Your Microsoft Environment Is Resilient to Attacks? 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How AI is Fueling Cybercrime and Why Security Gaps Are Growing by Lucie Cardiet 5-Minute Hunt: Detecting Risky Multi-Tenant Apps in Microsoft 365 GLOBAL RaaS: Dissecting a Modern Ransomware Franchise What the CISA Advisory Reveals About Nation-State Attacks New Technologies bring new risks: MCP-Powered Swarm C2 4 Real-World Attacks That Show Why SOCs Need NDR Why insider threats go undetected by security tools Black Hat USA 2025: What Security Teams Asked Us in Las Vegas Vectra AI and Google Security Operations: Breaking Down Security Silos by Zoey Chu Black Hat Takeaway: Everyone Talks Prevention, But Who Detects Compromise? Black Hat USA 2025: What It Told Me About Protecting the Modern Network from Modern Attacks Introducing the Vectra AI MCP Server Cloud Security Grey Zone: Who Owns the Risk of Managed Identities? CVE-2025-53770: A 9.8/10 Critical Exploit Targeting SharePoint 5 Ways Security Teams Can Start Driving Outcomes with Agentic AI Behind the Hunt: Real-World Threat Hunting Practices and How Vectra AI Makes the Difference Vectra AI named in Gartner hype cycle for security operations 2025 Choosing the Right NDR: Gartner’s 5 Questions Every Security Buyer Should Be Asking Gartner Security and Risk Conference – Chaos meets Opportunity Are Iranian APTs Already inside Your Hybrid Network? You Have the Right Tools. So Why Are Attackers Still Getting In? Vectra AI Named a Leader and Outperformer in the 2025 GigaOm Radar Report for Network Detection and Response (NDR) The Two Control Points That Will Define the Future of Cybersecurity – Network and Identity Challenges in Microsoft Log Monitoring: Insights for Your SOC How Sanofi Detected and Stopped a Cyberattack The Cutting Edge: AI’s Inevitable Rise in Offensive Security
What Modern SOCs Should Know About NDR Alternatives
2025-09-22 · via Vectra AI Blog

The Modern Network Reality

Not that long ago, the “network” was easy to picture: data centers and campus environments with a defined perimeter. That world no longer exists. Today, the modern network spans data centers, remote workforces, SaaS platforms, cloud workloads, IoT and OT devices, and—most critically—identities that bind it all together.

This expansion has transformed the attack surface into one giant, hybrid, interconnected ecosystem. And attackers have adapted. They don’t think in silos like “endpoint,” “cloud,” or “identity.” They see one big, unified surface to infiltrate, move through, and exploit.

That’s why 40% of breaches now span multiple domains, and ransomware actors achieve lateral movement in less than 48 minutes. The takeaway is simple: if we keep defending in silos, defenders will always be behind.

The SOC Challenge

Most organizations have invested heavily in tools: EDR for endpoints, SIEM/SOAR for log correlation and workflows, and now XDR for “platformization.” These investments are necessary, but they’re not sufficient. Why?

Because SOC teams are drowning in alerts. Teams receive nearly 4,000 alerts per day, yet fewer than 1% are actionable. Analysts spend almost three hours per day just managing alerts, while adversaries move laterally in under an hour.

This is the “defenders’ dilemma.” The tools are noisy, siloed, and tuned for compliance or prevention—not for real-time detection of stealthy attacker behavior. That’s why so many SOC leaders tell me: “It’s only a matter of time before we miss something.”

Why EDR Isn’t Enough

EDR remains foundational. But it was never designed to cover everything. Consider:

  • Coverage gaps: EDR agents can’t run on unmanaged devices, IoT, OT, or third-party contractor systems. Yet attackers deliberately target those blind spots.
  • Bypass and evasion: EDR is routinely disabled or evaded. CISA Red Team assessments have shown how attackers use driver tampering, VM disk mounting, or hook removal tools to blind endpoint agents.
  • Identity abuse: When attackers “log in” instead of “hack in,” EDR often sees nothing malicious. Privilege abuse, OAuth token theft, mailbox delegation—these don’t look like malware, but they’re attacker gold.
  • Network blind spots: EDR sees what happens on the host. It doesn’t see east–west traffic between systems, encrypted tunnels, or lateral pivots across domains.

Simply put: if you rely solely on EDR, you’re blind to a large portion of how modern attacks unfold.

Why SIEM and SOAR Fall Short

SIEMs and SOAR platforms promise centralized visibility and automated workflows. But they depend on the quality of the data ingested. Garbage in, garbage out.

  • Volume vs. value: SIEMs ingest thousands of log events daily, but most lack the context to separate benign from malicious.
  • Latency: Log-based correlation is reactive and slow. By the time signals are stitched, attackers have already moved on.
  • Complexity: Maintaining rules and playbooks is labor-intensive. SOCs often spend more time tuning than investigating.

SIEM/SOAR are necessary for compliance and orchestration. But they are not substitutes for real-time, behavior-based detection.

Where XDR Fits

XDR has emerged as an answer to tool sprawl. Done right, it promises integration across endpoint, network, cloud, and identity. But most “XDR” offerings today are simply vendor ecosystems extending their core EDR or SIEM capabilities. That means the same blind spots and silos persist.

XDR without high-fidelity network and identity signal is just EDR with a new name. And without that signal, XDR is still chasing alerts instead of seeing attacks.

Why NDR Is Essential for Modern SOCs

This is where Network Detection and Response (NDR) comes in. Modern NDR platforms, like Vectra AI, are purpose-built to assume compromise and detect what other tools miss:

  • Agentless coverage: NDR provides visibility into unmanaged devices, IoT/OT, cloud workloads, and identities—anywhere endpoint agents can’t go.
  • Behavioral detection: Instead of relying on signatures, NDR uses AI to detect attacker methods like hidden tunnels, privilege abuse, and lateral movement—even when attackers use valid credentials.
  • East–west traffic visibility: NDR inspects internal communications where attackers live post-compromise, surfacing reconnaissance, persistence, and exfiltration activity.
  • Noise reduction: Vectra AI’s NDR filters out up to 99% of alert noise, so analysts focus only on validated, prioritized attack progressions.
  • Integrated response: NDR integrates with SIEM, SOAR, and EDR, triggering host isolation, credential resets, or firewall blocks in real time.

Think of it this way: EDR tries to stop attackers from getting in. NDR stops them once they’re already in. Together, they form the two sides of modern defense.

Combining NDR, EDR, and SIEM: A Hybrid SOC Visibility Approach

The SOC Visibility Triad—SIEM, EDR, and NDR—remains the best model for complete coverage. Each tool has a role:

  • SIEM/SOAR for compliance, aggregation, and orchestration.
  • EDR for detailed endpoint telemetry and containment.
  • NDR for real-time detection across network, cloud, and identity—where attackers actually live post-compromise.

The difference today is that NDR is no longer optional. It’s the missing layer that completes the SOC’s detection architecture.

Real-World Outcomes with NDR

Organizations that add NDR alongside their EDR, SIEM, and SOAR stacks consistently report measurable improvements:

  • 52% more threats identified in 37% less time.
  • 99% reduction in alert noise and 40% SOC efficiency gains.
  • Reduced MTTD and MTTR from days to hours.

These aren’t marketing claims. They’re outcomes from real customers who’ve learned the hard way that endpoints and logs alone aren’t enough.

The Bottom Line: Why NDR Is No Longer Optional

Modern networks demand modern defenses. Attackers move fast, live off the land, and exploit blind spots in ways traditional tools weren’t built to catch.

EDR is necessary, but it’s not sufficient. SIEM/SOAR are valuable, but they’re not detection engines. XDR promises integration, but without NDR it’s incomplete.

NDR is the only technology that provides the coverage, clarity, and control needed to see and stop modern attacks across the entire hybrid network.

If you want to protect your organization from becoming the next breach headline, you can’t afford to view NDR as optional. It’s essential.

Sources

  • Vectra AI, 2024 State of Threat Detection and Response: The Defenders’ Dilemma
  • Vectra AI, 2024 Threat Detection and Response Efficiency Report
  • Vectra AI, Research Brief: Reducing Noise, Elevating Threats (2025)
  • Vectra AI, The Case for Network Detection and Response (2025)
  • Vectra AI, 5 Reasons EDR is Not Enough (2025)
  • CrowdStrike, 2025 Global Threat Report
  • IBM, 2024 Cost of a Data Breach Report
  • IDC, The Business Value of Vectra AI (2025)