True Digital Group uses Vectra AI's Attack Signal Intelligence to prioritize critical threats

Hear stories from real Vectra AI analysts: good, bad, and everything in between.

In this talk, we will examine logging facilities in Azure, concentrating on events generated by Azure AD and Microsoft 365, and discuss multiple problems that we have observed in monitoring them.

During this demo, we will guide you through the straightforward and automated deployment process for the DeRF.

Learn how Vectra Match supports Federal cyber operators and policy makers.

Consolidate and streamline processes to deliver effective and efficient security operations with Vectra AI and ServiceNow.

With cyberattacks on the rise, tribal communities are shifting their focus to address their security vulnerabilities but are unsure where to start.

Learn why Microsoft Integrates Vectra AI with Microsoft Defender for Endpoint.

Learn why Microsoft Integrates Vectra AI with Microsoft Sentinel.

Tim Wade addresses both the hype and the opportunity at a practical altitude necessary for strategic decision-makers to feel confident about harnessing their inner skeptic to achieve better outcomes for the enterprise.

Cy Fenton, Chairman, National Retail Federation IT Security Council & former CISO, Ralph Lauren

Wayne Shurts, Board Director | 3x Public Company CIO | University Advisor

Hear from Dixon Styres, Solution Architect at CrowdStrike, about how their integration with Vectra Cognito helps provide a cohesive security solution as part of the SOC Visibility Triad.

Federal agencies can stop the progression of covert attacks inside the network by speeding-up the time to detect and reducing the dwell time of hidden adversaries. Learn how federal agencies can achieve SOC efficiency globally and at scale.

As U.S. SecOps teams consider mapping to the SOC visibility triad, it’s vital to know the role each part of the triad plays in stopping cyberattacks. Learn how the Vectra AI NDR platform aligns you with the SOC visibility triad.

Vectra delivers this when and where it’s needed so that federal agencies spend less time chasing alerts and more time stopping threats.

There are two ML models. Supervised ML is tuned by data science to detect specific threat behaviors. Unsupervised ML finds anomalies. NDR platform from Vectra combines both.

Discover the significance of seamless ecosystem integrations in the realm of threat hunting, enabling comprehensive detection and proactive defense against cyber threats.

The NDR platform from Vectra exposes covert threat behaviors in all network traffic – without requiring decryption. We enable federal agencies to detect, prioritize and respond in real time, leaving attackers with nowhere to hide

Cyberthreat prevention at the network perimeter often fails silently, allowing cyberattackers to get inside without your knowledge. Learn how federal agencies solve this challenge with network detection and response (NDR).

Identifying behavior is critical for detecting and stopping threats before they cause damage. Vectra help Federal Agencies hunt down attacker behaviors and shuts them down, stopping breaches at speed and scale.

Brian Varine, Associate Director at Guidehouse and former Chief of the Justice Security Operations Center (JSOC) discusses how Zero Trust frameworks in collaboration with NDR gives organizations full visibility into their networks. Learn why AI and ML components of NDR tools allow security analysts to be more precise when threat hunting – decreasing the amount of dwell time and increasing overall SOC efficiency.

Defenders have to be right all the time, where attackers only have to get it right once. Hear from Brian Varine, Associate Director at Guidehouse and federal SOC expert, why IDS provides false alarms and is not sophisticated for the modern attacker. Learn how modern NDR approaches, like Vectra, help organizations understand what is going on within the network, including the cloud, and analyze the data to protect against attackers.

Autonomous security involves reasoning with complexity and influencing what occurs on the network. Vectra enables federal agencies to achieve this by combining AI, data science, ML and a vast ecosystem of third-party integrations.

By focusing on observed privilege inside the network – knowing when it is used and knowing when it is misused – federal agencies can identify attacker behaviors such as lateral movement as well as malicious behaviors by nefarious insiders.

Successful threat hunting is driven by AI and requires access to the right data about in-progress attacks at the right time. This allows security analysts in federal agencies to hunt intrepidly with greater success, speed, and with far less effort.

Jane Lute, President & CEO for the Council on CyberSecurity and former Deputy Security for the Department of Homeland Security, discusses cybersecurity and what organizations need to do to protect themselves.