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Скачать или смотреть Decoding DNS threats: An expert discussion with Google Cloud and Infoblox

  • Google Cloud
  • 2025-09-16
  • 665
Decoding DNS threats: An expert discussion with Google Cloud and Infoblox
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Описание к видео Decoding DNS threats: An expert discussion with Google Cloud and Infoblox

Join Google Cloud Networking Group Manager, Manisha Gupta, and Infoblox’s Chief Product Officer/EVP, Mukesh Gupta, for a discussion on DNS Armor. They will explore the challenges of defending against domain name system (DNS) exploits and effective strategies for safeguarding customer workloads with internet-bound communications.

Challenge
Cybercrime is escalating rapidly, projected to drain an astounding $23 trillion from the global economy by 2027. DNS, a foundational internet service, is frequently exploited by attackers as a primary vector to conceal and carry out sophisticated multi-stage attacks. With 92% of cyberattacks leveraging DNS and organizations facing an average of seven DNS attacks annually costing over $1 million each, traditional security controls often miss these threats as DNS traffic passes uninspected. Cloud customers face a difficult trade-off between cloud-scale security and operational efficiency, often compromising performance or incurring exorbitant costs by backhauling DNS traffic to on-prem infrastructure. This creates dangerous blind spots and slows innovation.

Solution
Introducing Google Cloud DNS Armor, an advanced threat detection cloud-native service built in partnership with Infoblox, a market leader in DNS and network security. DNS Armor enables preemptive threat detection for internet-bound DNS queries from your Google Cloud workloads. It brings Infoblox's unique, intelligence-at-internet-scale approach directly to Google Cloud, focusing on tracking attacker infrastructure ("cartels") rather than just individual campaigns. This allows DNS Armor to:

✅ Flag domains before they are weaponized: Blocking threats as soon as malicious infrastructure is acquired.
✅ Provide an extremely low false positive rate (0.002%): Ensuring high-quality findings and reducing alert fatigue.
✅ Combat AI-powered threats: Detecting sophisticated lookalike domains and unique malware without relying on "patient zero" detection.

DNS Armor proactively combats a wide range of DNS-based threats, including data exfiltration, Domain Generation Algorithms (DGAs), emerging zero-day DNS attacks, and command and control (C2) channels by inspecting DNS queries within the Google Cloud infrastructure.

Results
With Google Cloud DNS Armor, you gain the best of both worlds: robust security and operational efficiency without compromise. Experience no performance impact and no additional data transfer costs as analysis happens natively within Google's infrastructure. It's a fully managed, cloud-native service requiring no VM management, simplifying operations. Benefit from integrated threat observability and insights, easily integrating with your preferred SecOps platforms via Cloud Logging. This powerful combination of best-in-class intelligence with Google Cloud's scale and simplicity empowers your SecOps teams with the high-quality findings needed to focus on real threats, significantly improving your overall network security posture.


Ready to enhance your cloud's defense? DNS Armor is available now in public preview. Explore its threat detection capabilities and enable it today: https://cloud.google.com/dns/docs/thr...

Timestamps
0:05 Introduction to DNS Armor
0:50 The escalating cybercrime crisis & DNS relevance
1:26 Why DNS is a primary attack vector
2:43 The cost of DNS attacks
3:09 Infoblox's unique "cartel" approach to DNS security
5:06 Advantages: pre-weaponization detection & low false positives
6:29 The cloud security trade-off challenge
7:24 Google cloud DNS 100% SLA and DNS rmor
8:04 Introducing Google cloud DNS Armor & its threat combatting
9:02 Comprehensive threat coverage with Infoblox
9:49 Combating AI-powered evasion techniques
11:08 Core value: native cloud service benefits
12:28 Learn more about DNS Armor

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