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Description
General Analysis serves as a cutting-edge AI security platform designed to aid security teams in adversarially testing, monitoring, and safeguarding AI agents and systems that are actively deployed. Its primary objective is to enable organizations to grasp AI-related risks, avert potential incidents, and secure various real-world AI applications, which include employee copilots, coding agents, customer support tools, healthcare assistants, legal aids, financial copilots, and creative workflows. By mapping out AI applications and agents through an extensive range of parameters such as prompts, retrieval methods, tools, MCP servers, browser activities, permissions, repositories, cloud accounts, SaaS workflows, and business processes, it effectively identifies context-aware attacks that highlight vulnerabilities within the system. The platform's automated red teaming employs adaptable attacker models that respond to target behaviors and generate complex multi-step exploit chains, providing security teams with the ability to discover vulnerabilities that traditional static prompt sets or endpoint-only testing might overlook. Ultimately, General Analysis empowers organizations to enhance their AI security posture while ensuring that their deployments remain resilient against evolving threats.
Description
Nebulock is an advanced threat hunting platform powered by AI, specifically engineered to proactively uncover concealed security threats throughout an organization’s complete technological infrastructure. By perpetually analyzing telemetry data from various sources such as endpoints, identity frameworks, cloud environments, networks, and SaaS applications, it correlates signals across these different layers to detect attacks that conventional tools may overlook. Utilizing agentic AI, Nebulock automates the entire threat hunting process by forming hypotheses, validating them against real-time data, and converting findings into confirmed behavioral detection rules without the need for human intervention. Its fundamental architecture incorporates a contextual "behavior graph" that establishes a baseline of typical activities, allowing it to identify anomalies by comparing events along a unified timeline, which enhances the accuracy of detecting insider threats, credential misuse, and lateral movements. Unlike traditional methods, Nebulock prioritizes behavior-based detection over static indicators, ensuring a more dynamic approach to security. This innovative platform not only improves operational efficiency but also significantly elevates the organization's overall security posture.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Amazon Web Services (AWS)
Anthropic
Claude Sonnet 3.5
GPT-4o mini
GitHub
Google Cloud Platform
Hugging Face
Jira
Microsoft Azure
Integrations
Amazon S3
Amazon Web Services (AWS)
Anthropic
Claude Sonnet 3.5
GPT-4o mini
GitHub
Google Cloud Platform
Hugging Face
Jira
Microsoft Azure
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
General Analysis
Country
United States
Website
generalanalysis.com
Vendor Details
Company Name
Nebulock
Country
United States
Website
nebulock.io
Product Features
Product Features
Alternatives
No Alternatives