Take action early and often
Gartner-validated approach to identifying behaviors in the early stages of an attack like command-and-control and reconnaissance behaviors found in today’s compromises.
Add efficiency to your security workflow
Vectra customers achieved a 34X workload reduction for Tier-1 SOC analysts in detection, triage, correlation and prioritization of security incidents.This enables security operations teams to focus on compromised devices that pose the highest risk.
“This solution excels at rolling up numerous alerts to create a single incident to investigate that describes a chain of related activities, rather than isolated alerts that an analyst then has to piece together.”
Gartner Research
Identify privileged accounts, hosts and services
The Cognito platform uses AI to continuously monitor the behaviors of users, hosts and services in your network, cloud or SaaS applications. By observing how access is being used, rather than how privilege is assigned you gain complete visibility into the privileged assets that attackers target in your network, and can detect internal threats such as rouge admins.
Anticipate attacks in progress
Look at interactions between privileged accounts, hosts and services to identify:
The Cognito network detection and response platform dynamically adjusts risk scores as attacks unfold and automatically integrates privileged analytics into incident rollups.
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Consumption model to match your use-case
Enabling zero trust
Using Cognito to enable zero trust
News: the industry’s first privilege-aware NDR solution
Blog: Introducing Privileged Access Analytics
Overview
Lightboard: A new approach to identifying privilege
Privilege-aware NDR strengthens zero-trust (video)
Case Studies
DZ Bank: Achieving security and privacy
Demonstration
Self-guided tour
Identifying data access and theft
The Cognito platform implements a suite of detection algorithms that identify hidden attackers who gain access to critical resources. This often indicates that operational disruption or data exfiltration is imminent.
To identify these malicious behaviors, supervised and unsupervised machine detection algorithms identify the early tell-tale signs of attack, including:
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Hunt using security-enriched network metadata
Whether sourced from an analyst’s daily workflow or open source intelligence, the first step in threat hunting is to make sure that the attributes necessary to answer investigative queries are readily available.
This is precisely why Vectra uses AI engines to extract security insights that are embedded in our metadata. Notable security enrichments include beaconing activity, domain rarity and privilege level of relevant entities.
Security-enriched network metadata is fed directly to data lakes and SIEMs. Or dive deep into the metadata using Cognito Recall, Vectra’s investigative workbench optimized for threat hunting, incident analysis and sub-second searches at scale.
Build security models on machine-learning building blocks
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Data source
Blog: Why network metadata is just right for your data lake
Blog: Don’t do it: Rolling your own production Zeek deployment
Enrichments
Blog: Not all data is created the same
Blog: Improving threat-hunting efficiency with the multi-homed attribute
Product
Cognito Stream
Cognito Recall
Case studies
AI-driven cybersecurity for online gaming
Gain visibility into security and compliance gaps
Overview
How Vectra Cognito helps organizations to meet compliance requirements
Solution Overview: Recommendations when evaluating NDR for IaaS deployments
Solution Overview: How the Cognito platform secures and accelerates mergers and acquisitions
Security assessment
The Vectra Security Assessment identifies opportunities to improve security posture and identify compliance gaps
Compliance briefs
NIST | GDPR
FFIEC | MITRE ATT&CK
DFARS | PCI DSS
Case studies
The Very Group: Large online retailer minimizes business risk
The Very Group embarks on a journey to cognitive security (video)
Ardagh Group: Faster detection and response to hidden cyberthreats
