Cybersecurity Solution for government

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

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

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.

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

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

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.

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).

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 Cognito NDR platform from Vectra aligns you with 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.

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.

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.

Vectra has a proven history within the IC, DoD and CIV sectors along with the DIB to help the process move smoothly.

Located in the Middle East, this Government Authority manages and oversees all of the country’s digital assets, information technology and data programs.

The U.S. government recognizes that the national and economic security of the country depends on the reliable function of critical infrastructure.

To combat the increasing volume and sophistication of cyberthreats, the FFIEC and NIST developed the Cybersecurity Assessment Tool to help institutions identify risk and determine their cybersecurity preparedness.

To protect Covered Defense Information (CDI) comes DFARS 252.204-7012 and rules pertaining to “Safeguarding Covered Defense Information and Cyber Incident Reporting.”

Vectra AI continuously monitors and analyzes all network traffic to detect cyber attacks in progress as criminals attempt to steal enterprise data or cause harm to the organization.

This overview describes how the Vectra platform, in combination with existing security technologies, supports the Continuous Diagnostics and Mitigation (CDM) Program and enables agencies to achieve their security objectives.