惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Apple Machine Learning Research
Apple Machine Learning Research
Recent Announcements
Recent Announcements
IT之家
IT之家
人人都是产品经理
人人都是产品经理
G
Google Developers Blog
Microsoft Azure Blog
Microsoft Azure Blog
博客园_首页
大猫的无限游戏
大猫的无限游戏
U
Unit 42
罗磊的独立博客
博客园 - Franky
WordPress大学
WordPress大学
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
M
MIT News - Artificial intelligence
SecWiki News
SecWiki News
V
Vulnerabilities – Threatpost
P
Privacy International News Feed
P
Palo Alto Networks Blog
F
Fortinet All Blogs
P
Proofpoint News Feed
博客园 - 叶小钗
C
CERT Recently Published Vulnerability Notes
T
Tor Project blog
Spread Privacy
Spread Privacy
S
Securelist
C
Cisco Blogs
I
Intezer
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Cyberwarzone
Cyberwarzone
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
P
Privacy & Cybersecurity Law Blog
宝玉的分享
宝玉的分享
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Engineering at Meta
Engineering at Meta
S
Schneier on Security
C
CXSECURITY Database RSS Feed - CXSecurity.com
GbyAI
GbyAI
T
Troy Hunt's Blog
T
Threatpost
博客园 - 司徒正美
Y
Y Combinator Blog
Hugging Face - Blog
Hugging Face - Blog
AWS News Blog
AWS News Blog
T
The Blog of Author Tim Ferriss
G
GRAHAM CLULEY
N
Netflix TechBlog - Medium
酷 壳 – CoolShell
酷 壳 – CoolShell
Google DeepMind News
Google DeepMind News
Know Your Adversary
Know Your Adversary
S
SegmentFault 最新的问题

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 Gartner Security and Risk Conference – Chaos meets Opportunity 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?
Vectra AI
Zoey Chu · 2025-11-04 · via Vectra AI Blog

Anatomy of a scattered spider attack - Mind your attack gap presentation at Black Hat

Still reflecting (and recovering) from Black Hat in Vegas. This year it felt different, more energetic and the conversations - more meaningful, practical, honest. Here’s what I took away albeit seeing things through my Vectra AI green colored glasses:

1. AI is now both weapon and target. Agentic AI—autonomous systems—are being hijacked to do recon, exfiltrate data, and even help attackers evade detection. No malware required. If the AI defenders use isn’t purpose-built to think like attackers—think and move as fast as attackers move across network, identity, and cloud… the time to attack vs the time to defend will widen.

2. The truth is in the packet. We saw research on tunneling into private networks. Once inside, attackers blend into “normal” traffic, hide in encrypted flows, and stay invisible. This is why coverage across east-west and north-south traffic isn’t optional—it’s foundational.

3. Identity is the bullseye. Token theft, federated trust abuse, and privilege escalation in the cloud are the new normal. Attackers don’t hack in—they log in. And if you’re not watching identity activity in real time, you’ll miss it.

4. Converged risk is real. Network, Identity, Cloud, SaaS, IoT, OT—security sees multiple attack surfaces, attackers see one giant attack surface (we call it the modern network). All modern attackers need is a way in (Identity) and once in, they blend in, hide and move without friction. Begging the question: should we be looking at posture post-compromise (detection) as much as we do pre-compromise (prevention)?

Maybe its me and my biases—hearing what I want to hear, but I can't help but walkaway from Black Hat believing the problem to solve is: modern networks, modern attacks, and defending against them comes down to 3 simple questions:

1. Can we see them? (Coverage)

2. Can we stop them? (Control)

3. How fast can we see them and stop them? (Clarity)