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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 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 by Fabien Guillot 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? Think Again by Tiffany Nip Operation ENDGAME and the Battle for Initial Access by Lucie Cardiet What 400+ NDR Power Users Taught Us About Network Visibility How Attackers Gain Initial Access in Hybrid Environments Can Your SOC's AI Actually Think? Evaluating LLMs with the Vectra AI MCP Server How Vectra AI Hybrid NDR Enables Proactive Threat Hunting and Outcome-Driven Defense by Tiffany Nip Introducing the Vectra AI MCP Server for On-Premises (QUX) by Fabien Guillot From Conti to Black Basta to DevMan: The Endless Ransomware Rebrand by Lucie Cardiet How the F5 Breach Exposed Critical Edge Security Gaps Qilin’s 2025 Playbook, and the Security Gap it Exposes by Lucie Cardiet Vectra Fusion: Extending the Vectra AI Platform to Build Resilience Both Pre and Post Compromise Seeing Beneath the Surface: What Crimson Collective Reveals About Cloud Detection Depth Cl0p Is Back, Exploiting Supply Chains Again. How to Choose the Best NDR for Hybrid Environments Red Hat GitLab Breach Shows Why Consulting Data is a Goldmine for Attackers When GoAnywhere Lets Attackers Go Everywhere by Lucie Cardiet Vectra AI with Netography Redefining the SOC Platform around Modern Attack Resilience Beyond Endpoints: How BRICKSTORM Exposed Security Blind Spots by Lucie Cardiet EDR Isn’t Enough: Why Forward-Thinking CISOs Are Turning to Network + Identity by Mark Wojtasiak What Modern SOCs Should Know About NDR Alternatives Scattered Lapsus$ Hunters Announce They Are Going Dark but the Threat Remains LockBit is Back: What’s New in Version 5.0 The Npm Exploit Is The Entry Point, What Follows Is Just As Critical. 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 Sanofi Uses Vectra to Stop Cyberattack in Real Time The Cutting Edge: AI’s Inevitable Rise in Offensive Security
Why Cyber Resilience is Lagging in the AI Era
2026-03-13 · via Vectra AI Blog

Vectra AI recently released its 2026 State of Threat Detection and Response report, which follows the theme “Resilience in the AI Era.” The initial question I had when we decided to run with that theme for the report was, what specific findings in this year’s report reveal insights about resilience in 2026?

To answer that, first I think we need to determine what we mean by “resilience” or in this case, cyber resilience. It’s a term that gets thrown around a lot and I think the way it gets talked about is generally within similar context and meaning, however, it always seems like “resilience” this thing we strive for or hope to achieve some day. And in cybersecurity, I don’t think we’re ever done trying to achieve cyber resilience. We can certainly take steps to help our networks become more resilient, like gaining an understanding of our risk exposure or speeding up processes so we can react faster to threats — but then a new threat or vulnerability comes along and we’re no longer resilient until we’ve addressed it.

It’s the same in life. You can take all the rights steps to make sure you are healthy or your house is protected, and then you adopt a new pet. All of a sudden your curtains are shredded and your baseboards are missing and you had no idea that your home wouldn’t be resilient to such an innocent creature.

To me, resilience is our ability to recover, rebound, or just get back on our feet and stay running or functional when incidents happen. Our networks are no different. And today’s networks just happen to include risks that move at AI speed, in fact cyberattacks are 65% faster because of AI according to a report from CrowdStrike.

What is the State of Threat Detection and Response in the AI era?

Free download: 2026 State of Threat Detection and Response: Cyber Resilience in the AI Era

Since we’re in the AI era, shouldn’t we just ask ChatGPT?  

It would come back with something like, “the state of threat detection and response in the AI era is a race between AI-powered attackers and AI-augmented defenders, where success depends on detecting behavioral attack signals across identity, cloud, and network before attackers can move laterally.”

However, we should ask the defenders who live it every day for the real details about what’s actually going on inside their networks. Which is exactly why we continue to publish the State of Threat Detection and Response report. This year, 1,450 practitioners provided responses on everything from how often important security tasks get put aside, whether tools are effective, AI usage and its impact, visibility into hybrid and multi-cloud environments as well as other areas. Let’s take a look at what defenders are saying about some of the areas that directly impact their ability to be resilient.  

Risk exposure: who and what is on the network?

One of the questions we’ve asked defenders in each of the three years that Vectra AI has published this report, is: how would you rate your visibility into various hybrid environments?

It’s not just that defenders lack full visibility into their environments, when you also look at the number of tools they use for threat detection and response to cover these environments, 39% of them are juggling over 20 tools. Cyber resilience requires visibility into networks and we’re not seeing much improvement, if any, from year to year, which signals that not all defenders know who and what is on their network. In fact, 37% believe an attacker may have already compromised their organization without them knowing. Is this in part because of how many tools are being used, that noise remains an issue, or that visibility appears fragmented across too many telemetry streams?

Do defenders know what behaviors indicate risk?

Across the surveyed audience of defenders, 44% admit they are losing the battle when it comes to prioritizing real threats.  

When looking across the data, you start to see some reasons why, and perhaps the biggest reason has to do with detection latency?

In addition to the 2.5 hours defenders spend on alert triage each day, 71% said they put aside important security tasks at least two days per week, and they can only deal with just over a third of the alerts they receive each day. It’s hard to imagine that the latency in this scenario is helpful in knowing what risky behaviors exist on a network.  

Where to improve network security posture?

We asked defenders what matters when evaluating solutions. 72% named risk reduction, compliance alignment, and measurable operational effectiveness. Compliance is the obvious one being that cybersecurity teams often play a central role in how controls meet regulatory requirements, and although the report doesn’t go too deep into any of these areas, there are some related takeaways.  

We’re continuing to see defender sentiment toward security vendors show little improvement.

Can we tie “measurable operational effectiveness” to vendor sentiment? Maybe not directly, but defenders are showing that they want to be able to prove effectiveness of their solutions, while they don’t necessarily believe vendors are holding up their side of the bargain.  

However, 67% agree that the implementation of AI-powered tools are making a positive impact on the ability to identify and deal with threats. The same thing here; this doesn’t necessarily tie to “risk reduction,” but defenders are expressing where they believe positive improvements are happening.  

Is cyber resilience lagging?

Defenders report an increase in confidence. For example, 37% believe an attacker may have already compromised their organization without them knowing — a percentage that is down from 51% just last year. And defenders are reporting an overall positive experience using AI in the SOC, in fact 87% expect to use more AI tools next year to replace legacy threat detection and response tools. Defenders also want AI to handle tasks such as alert triage and investigation duties, which could lead to improvements in detection latency challenges, but AI alone won’t magically make organizations more resilient, defenders will.  

Based on what the report is telling us, yes, cyber resilience is “lagging” in certain areas, especially considering risk exposure exists and threat prioritization remains a challenge. Too many alerts still go unaddressed, too many visibility gaps, too many tools and vendors that aren’t up to the task, but we aren’t telling defenders anything they don’t know — they’re the ones already working to address the never-ending exposure, risks, and posture challenges.  

Download the 2026 State of Threat Detection and Response report, today.