John Mancini leads the product management of machine learning-based threat detection algorithms at Vectra. He is a product-driven technologist with extensive experience research, development and design of software backed by machine learning and AI. Previously, John held the position of lead data scientist and received a patent for an improved method, system, and computer program product for identifying malicious payload exchanges which may be associated with payload injection or root-kit magic key usage.
Cybersecurity authorities from the United States, New Zealand, and the United Kingdom have released a joint Cybersecurity Information Sheet (CIS) that recommends proper configuration and monitoring of PowerShell to address the recurrence of the scripting language's use in cyberattacks.
The MITRE ATT&ACK framework helps to keep your business secure. Learn how Vectra leverages MITRE ATT&CK and supports MITRE D3FEND.
In order to help security teams validate the effectiveness of their Azure AD security controls and stop future attacks, the Vectra platform continuously monitors user activity and reveals instances of users bypassing multi-factor authentication (MFA) and other preventative controls.
The Vectra Cognito Azure AD Privilege Anomaly Detection is a radical step forward when detecting account takeover events targeting Azure AD to gain access to mission-critical SaaS applications. With it, teams are alerted, and attacks can be stopped before they cause harm.
The Hafnium campaign is targeting Microsoft Exchange Servers by leveraging several zero-day exploits and allows attackers to bypass authentication, including MFA to access e-mail accounts. Read more about hot to detect and stop the attack with Vectra Cognito.
As witnessed by the SolarWinds attack, compromising a single Azure AD account gives an attacker access to multiple SaaS apps, including Microsoft Office 365. This single point has made it critical for organizations to be able to detect and respond to attacks from Azure AD.
AI-based detections are great at identifying attacker behaviors while threat intelligence provides fast, labeled coverage of known threats. Adding threat intelligence extends the coverage of AI-based detections to give you the most durable coverage and early understanding of threats.
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