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Vectra AI Blog

Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Why You Need an NDR to Protect Your Modern Network Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI named in Gartner hype cycle for security operations 2025 Vectra AI Vectra AI Vectra AI How Sanofi Detected and Stopped a Cyberattack How MITRE ATLAS Helps Detect LLM Attacks in Cloud AI Detecting Iranian APT identity attacks across hybrid environments Vectra AI Vectra AI Vectra AI Breaking down the axios supply chain incident Vectra AI Vectra AI Who’s Doing What on Your Network? FortiClient EMS Zero-Day: When the Control Plane Becomes Initial Access Detecting Compromise After the Axios Supply Chain Attack. Vectra AI Vectra AI Vectra AI AI Is Now the Attack Surface: Why Your Security Stack Must Adapt Fast Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI How attackers use Brute Ratel (BRC4) Vectra AI Vectra AI Vectra AI The Cutting Edge: AI’s Inevitable Rise in Offensive Security Vectra AI Vectra AI Is AI the Right Tool to Defend Against Modern Cyberattacks? Vectra AI Vectra AI Vectra AI Turns Out Network Security Is Cool Again – and It’s Called NDR Vectra AI Vectra AI Vectra AI Choosing the Right NDR: Gartner’s 5 Questions Every Security Buyer Should Be Asking Vectra AI Vectra AI Named a Leader and Outperformer in the 2025 GigaOm Radar Report for Identity Threat Detection and Response (ITDR) Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI You Have the Right Tools. So Why Are Attackers Still Getting In? Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Challenges in Microsoft Log Monitoring: Insights for Your SOC Vectra AI Platform Visualizes Multi-domain Modern Attacks with Attack Graphs Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI Named a Leader and Outperformer in the 2025 GigaOm Radar Report for Network Detection and Response (NDR) Presenting the 2025 Vectra AI Scholars Simplify Threat Investigation and Hunting with Pre-built Queries in Vectra Investigate The 2025 Gartner® Magic Quadrant™ for Network Detection and Response (NDR) - Why Vectra AI Stands Tall Vectra AI Vectra AI Vectra AI Vectra AI Vectra AI How Black Basta Turned Public Data into a Breach Playbook Play’s New Tactics Bypass Traditional Defenses. Are You Ready? Charting a New Era of Network Security: Vectra AI at the Forefront Unlocking Operational Efficiency: How Vectra AI Drives 40% Gains in SOC Performance and 391% ROI Identity-Centric Attacks: The New Reality for UK Retail CISA Flags Fast Flux as a National Threat: Are You Covered? AI Agents: What Do They Mean in Cybersecurity?
Gartner Security and Risk Conference – Chaos meets Opportunity
Zoey Chu · 2025-11-04 · via Vectra AI Blog

I always enjoy attending Gartner’s Security and Risk Management (SRM) conference. It’s an opportunity to hear first-hand from Gartner analysts and security leaders on problems to solve, evolving approaches to address said problems and the many paths to take.

I walked away from this summer’s conference with three things stuck in my head:

  • AI is both reshaping the risk landscape and the means to protect it.
  • Consolidation, platformization, integration, automation is never done.
  • NDR gets its due attention whether it be AI, Platforms, or Zero Trust.

This industry moves fast—and not always in a straight line. I like to say that where there’s chaos, there’s opportunity.  Here's my take on what chaos is creating opportunity – for both security leaders and vendors.

AI: From “Panic-Neglect” to Pragmatic Experimentation

Gartner paints AI in cybersecurity as being stuck in a loop: we panic, we overspend, we underdeliver, and then we neglect—until the cycle starts again. At Vectra AI, we’ve called this vicious cycle the spiral of more – a never-ending cycle of doing the same thing over and over again expecting a different result.

But here’s the kicker: AI isn’t here to replace your team. It’s here to break the cycle and maximize the value of your existing talent. “AI will be a SecOps tool for a while before it’s a teammate.”

This means tactical AI—not grandiose autonomous SOC fantasies. Think automation in alert triage, contextual investigations, and false positive reduction. By 2027, 90% of successful AI implementation in cybersecurity will be tactical, not transformational.

And the best advice? Be an “AI Tinkerer.” Experiment smartly, fail fast, iterate faster. Focus on outcome-driven metrics (ODMs), not vendor marketing fluff.

Platform Consolidation: It’s About Survival, Not Savings

According to Gartner, the average enterprise is juggling 43 to 45 security tools. The result? Frankenstein's monster of fragmented capabilities, siloed data, and broken workflows. And CISOs aren’t consolidating to save money—they’re consolidating to survive.

“Complexity is the enemy of security. And resilience.”

The winners in the platform wars will be those who master interoperability and resilience. Gartner emphasizes the need for open, API-first platforms that thrive on signal sharing and integrated control planes. It’s not about bundling features—it’s about delivering outcomes through architectural unity.

Think:

  • Centralized control planes + distributed enforcement
  • Graph-powered data lakes with native AI/ML analytics
  • Resilience through zero trust alignment, multi-region failover, and cryptographic agility (yes, they’re talking quantum now).

If your current vendor ecosystem can’t handle this? Time to ask some hard questions.

NDR: A Zero-Trust Force Multiplier

Let’s be real: If Zero Trust is your strategic goal, NDR should be your operational backbone. Gartner doesn’t mince words—NDR is a “core detection layer” in a zero-trust ecosystem.

What makes NDR so essential in 2025?

  1. Hybrid Complexity: With cloud, OT, and remote environments exploding, NDR gives visibility where EDR and SIEM fall short.
  2. Identity Abuse & C2 Detection: Most breaches still boil down to stolen credentials and command-and-control activity. NDR catches both.
  3. AI-Driven Signal Fidelity: NDR vendors are racing to use AI to reduce false positives and accelerate detection. By 2027, 60% of NDR purchases will be AI-driven.

“Effective zero trust needs end-to-end visibility, real-time detection and response across the hybrid network.”

So, if your zero-trust strategy lacks NDR, you’re probably trusting more than you think.

Quick Wins vs. Long Games

Not every organization can leap into deep AI or complete a platform overhaul tomorrow. And that’s okay.

Gartner suggests “quick-win” strategies—start with executable policies, core applications, and simple enforcement using existing infrastructure. Don’t boil the ocean. Pick a high-value target, deploy context-aware controls, and prove it works.

The Bottom Line: Gartner’s Message Is Clear

Cybersecurity in 2025 is about making complexity manageable. Whether you’re rolling out microsegmentation, leaning into AI, or building your own interoperable platform, every move must be tethered to business outcomes and resilience.

Here are the opportunities I see amidst the chaos:

  • AI is not magic, but it is necessary. Use it to amplify human decision-making, not replace it.
  • Platforms must interoperate. Buy ecosystems, not silos.
  • NDR is indispensable. If you can’t see the network, you can’t trust it.

I’m looking forward to what Gartner SRM London says this fall.

Mark Wojtasiak is a product marketing leader at Vectra AI who tells it like it is. If it’s not about outcomes, he’s not interested.

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