Security AI Copilot产品图
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Security AI Copilot

SAI is an LLM-powered Agentic SOC, automating alert investigation, triage, and response through integrated AI agents.

Key Features

Automated Event Investigation
Automatically analyzes alerts within three minutes, using long-term memory to reduce noise, conduct full-chain forensics, and provide human-authorized response actions.
Specialized Security Agent Center
Provides nine distinct security capabilities covering traffic detection, penetration testing, code auditing, and compliance consulting across diverse enterprise scenarios.
Intelligent Security Operations
Features over 20 pre-installed templates where agents autonomously plan and execute operation workflows with comprehensive task and performance management.
Seamless Integration & Knowledge Base
Connects effortlessly with mainstream third-party SOC platforms while supporting multi-format document parsing to construct customized, distributed RAG knowledge bases.
Interactive Dashboard & Optimization
Displays multi-dimensional security metrics and agent data over 7/30 days, incorporating interactive user feedback to continuously optimize platform performance.

Core Values

3-Minute Incident Investigation
Slashes incident triage time to three minutes by automatically filtering alert noise and executing rapid, full-chain forensic evidence collection.
Controlled Autonomous Response
Delivers reliable operational safety by combining intelligent, autonomous security analysis with mandatory human authorization for any remediation actions.
On-Demand Security Expertise
Empowers security teams with nine specialized co-pilot agents, instantly upgrading technical capabilities in penetration testing, decoding, and compliance auditing.
Seamless Legacy ROI Optimization
Supercharges existing security investments by integrating directly into mainstream SOC platforms, adding advanced agentic intelligence without costly architectural overhauls.

Technical Architecture

Security AI Copilot技术架构图

The SAI architecture is a 4-layer security AI stack:

Infrastructure layer: Supports X86/ARM and NVIDIA/Ascend hardware.

Model base layer: Built on security-LLM, with dedicated security sub-models for traffic detection, defense, data security, etc.

AI Agents layer: 4 capability matrices covering Identification, Defense, Monitoring and Reaction security scenarios.

Integration layer: Connects to third-party components via API to deliver end-to-end agentic SOC capabilities.

Customer Success Stories

Frequently Asked Questions (FAQ)

What exactly is SAI, and how does it integrate with our existing security stack?
Does SAI execute remediation actions completely autonomously?
How much faster is SAI compared to traditional manual triage?
What operational capabilities do the built-in Security Agents provide?
Can we train SAI on our organization's internal data and playbooks?