AI detections for over 40 Azure attacker behaviors — connect the dots across Azure, Active Directory, Entra ID, and M365 in a single XDR platform.
Modern attackers compromise identities to infiltrate your Azure Cloud for financial gains
Cloud security often causes headaches for security teams, regardless of an organization’s cloud maturity. As organizations continue migrating to the cloud, they store more sensitive data within critical Azure resources and services, making these infrastructures high-value targets for modern attackers. As organizations rapidly transition to the cloud, security teams are often left behind, struggling to keep up with cloud-specific security demands and evolving threats.
While security teams work hard to strengthen cloud posture, modern attackers bypass traditional security controls and they no longer hack in—they simply log in, using compromised credentials to gain access to the Azure Cloud. According to CrowdStrike, cloud intrusions through valid credentials have increased by 75% in the past year. This creates additional challenges for security teams when trying to differentiate between normal and malicious user behaviors.
Through recent conversations with customers, three key challenges commonly arise in securing their Azure environment:
- Identity compromise - compromised identities have become the top initial attack vector. These incidents are often the most expensive and time-consuming for security teams to detect, especially in cloud breaches.
- Siloed visibility - connecting the dots as attacks move laterally across Active Directory, Microsoft Entra ID, M365, Azure IaaS and Azure PaaS is hard.
- Unmanageable alert volume - siloed threat detection creates unmanageable alert volume for defenders.
These challenges call for a unified threat detection and response approach, and here’s how Vectra AI can help.
Vectra AI Threat Detection and Response for Azure - Comprehensive AI-Powered Hybrid and Multi-Cloud Defense
Introducing Vectra AI Threat Detection and Response for Azure, an agentless capability within the Vectra AI Platform to find malicious Azure and hybrid attacks that native and other tools miss, with better clarity and less effort.
Vectra AI Threat Detection and Response for Azure helps customers:
- Stop hybrid Azure identity and cloud compromise by detecting both known and unknown Azure attacks targeting Azure human and machine identities, hybrid workloads, and critical resources.
- Stop cloud data breach and ransomware by finding attacker behaviors before sensitive data can be exfiltrated from critical resources.
- Strengthen hybrid cloud active posture by analysing enriched cloud logs to identify any security gaps in Azure, such as overly permissive identity access controls and storage accounts that should not be publicly accessible.
So how does Vectra AI help defend against Azure and hybrid/multi-cloud attacks?
Find real Azure attacks native tools miss
Vectra AI’s detections monitor over 40 attacker behaviors unique to Azure, while Microsoft’s native tools currently cover only 11, leaving Microsoft customers vulnerable to 73% of known attacker techniques identified by Vectra AI. In addition, Vectra AI covers over 100 attacker behaviors spanning Azure, Active Directory, Microsoft Entra ID, Microsoft M365 and Microsoft Copilot for M365, delivering the most robust library of behavior-based detection tools on the market. Our high-fidelity alerts uncover threats targeting the Azure cloud, identities and important services such as Azure policies, Azure App Service, Azure automation accounts, and more.
Connect the dots, enhance threat visibility and minimize alert noise
Vectra AI’s signal clarity enhances, triages, correlates, and prioritizes the entity under attack, connecting the dots across Azure IaaS, Active Directory, Microsoft 365, and Microsoft Entra ID within a single pane of glass. By removing siloed detections, defenders are no longer overwhelmed by alert noise, significantly improving SOC efficiency.
Stop Azure threats with accelerated investigation and comprehensive response
Vectra AI’s instant investigation provides analysts with enriched Azure logs and detailed insights into compromised entities, along with intuitive pathways to investigate Azure detections. Once a compromised account is identified, Vectra AI’s comprehensive response equips analysts with native, automated, and managed response actions to swiftly contain Microsoft Entra ID accounts involved in an attack. To alleviate operational burden, our 24/7 MXDR hybrid attack experts augment your SOC by managing detection, investigation, and response across your hybrid and multi-cloud environments.
Comprehensive AI platform to strengthen your hybrid, multi-cloud defense
Vectra AI strengthens your hybrid, multi-cloud defenses with a comprehensive AI platform to combat nonstop cyberattacks across Microsoft Active Directory, Microsoft Entra ID, Microsoft M365, Microsoft Copilot for M365, Microsoft Azure and AWS. Powered by AI-driven integrated Attack Signal IntelligenceTM, our platform delivers hybrid and multi-cloud attack coverage, signal clarity and intelligent control to stop threats in minutes instead of hours.
Conduct Multi-Cloud Security Testing to Identify Gaps
To uncover existing security gaps within your cloud environment, security teams can leverage Halberd, a free open-source multi-cloud security testing tool. Halberd enables you to test defenses against attack techniques across Microsoft Azure, Microsoft 365, Microsoft Entra ID, and AWS — all in one platform through adversary emulation.
Vectra AI Threat Detection and Response for Azure is currently in preview and will be available soon. Want to learn more? Check out our product page or contact your Vectra AI team to join our customer preview now.