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Average Ratings 0 Ratings
Description
Cloudnosys Attack Path provides a comprehensive analysis and mapping of potential privilege escalation and lateral movement strategies within cloud environments, highlighting how issues such as misconfigurations, excessive permissions, and exposed resources can culminate in actual security breaches. It offers a visual representation of attack graphs that includes interactive drilldowns, ranks these pathways based on contextual risk scoring (which takes into account both impact and exploitability), and suggests specific, actionable remediation measures to dismantle the most critical threat chains, thereby allowing security teams to address the highest risks first. Furthermore, this solution accommodates multiple cloud accounts, gathers telemetry from identities, networks, and resources, and reconstructs plausible attack scenarios. It also simulates exploitation to evaluate the effectiveness of mitigation strategies and seamlessly integrates with existing cloud security protocols to activate automated or guided remediation playbooks. By streamlining the detection, investigation, and resolution of intricate cross-resource threats, it significantly reduces alert fatigue and enhances overall security posture. Ultimately, Cloudnosys empowers organizations to proactively fortify their cloud environments against emerging vulnerabilities.
Description
Qevlar AI represents an innovative autonomous platform for Security Operations Centers (SOC), fundamentally changing the approach that cybersecurity teams take when it comes to threat investigation and response by fully automating the alert analysis process. In contrast to conventional tools or AI assistants that depend on human intervention or set playbooks, this system autonomously examines alerts immediately upon receipt, aggregating and enhancing data from various security tools and external resources to assess the true nature of each alert. It adeptly correlates and evaluates signals across different systems, reconstructs patterns of attacks, and delivers a comprehensive understanding of incidents, which empowers teams to transcend disjointed workflows and reactive alert management. Utilizing advanced agentic AI, the platform significantly automates many aspects of manual investigations, leading to drastic reductions in response times, heightened consistency, and an increase in the operational capability of security teams without necessitating additional personnel. This innovation not only streamlines processes but also enhances the overall effectiveness of cybersecurity efforts, ensuring teams are better equipped to handle evolving threats.
API Access
Has API
API Access
Has API
Integrations
Google Cloud Platform
Microsoft 365
Amazon GuardDuty
Big Data Cloud API
Cortex XSIAM
CrowdStrike Falcon
IBM QRadar EDR
IPInfoDB
Microsoft Azure
Microsoft Defender for Cloud
Integrations
Google Cloud Platform
Microsoft 365
Amazon GuardDuty
Big Data Cloud API
Cortex XSIAM
CrowdStrike Falcon
IBM QRadar EDR
IPInfoDB
Microsoft Azure
Microsoft Defender for Cloud
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cloudnosys
Founded
2016
Country
United States
Website
cloudnosys.com/attack-path
Vendor Details
Company Name
Qevlar AI
Founded
2023
Country
France
Website
www.qevlar.com
Product Features
Cloud Security
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management