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Description
Empower your security teams to uncover concealed patterns, strengthen defenses, and react to incidents more rapidly with the innovative preview of generative AI.
In the midst of an attack, the intricacies can prove costly; therefore, it’s crucial to consolidate data from various sources into straightforward, actionable insights, allowing for incident responses within minutes rather than prolonged hours or days.
Process alerts at machine speed, detect threats early on, and receive predictive recommendations to counteract an adversary's next move effectively.
The gap between the demand for skilled security professionals and their availability is significant. Equip your team to maximize their effectiveness and enhance their skills through comprehensive, step-by-step guidance for risk mitigation.
Interact with Microsoft Security Copilot using natural language queries and obtain practical answers that can be implemented immediately.
Recognize an active attack, evaluate its magnitude, and receive remediation steps based on established tactics drawn from actual security scenarios.
Furthermore, Microsoft Security Copilot seamlessly integrates insights and data from various security tools, providing tailored guidance specific to your organization’s needs, which enhances the overall security posture.
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
Microsoft Defender for Cloud
Microsoft Sentinel
AWS CloudTrail
Amazon GuardDuty
Cortex XDR
Fortinet
Google Cloud Platform
Google Security Operations (SecOps)
Hybrid Analysis
Joe Sandbox
Integrations
Microsoft Defender for Cloud
Microsoft Sentinel
AWS CloudTrail
Amazon GuardDuty
Cortex XDR
Fortinet
Google Cloud Platform
Google Security Operations (SecOps)
Hybrid Analysis
Joe Sandbox
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
Microsoft
Founded
1975
Country
United States
Website
www.microsoft.com/en-us/security/business/ai-machine-learning/microsoft-security-copilot
Vendor Details
Company Name
Qevlar AI
Founded
2023
Country
France
Website
www.qevlar.com
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting