Torq Moves SOCs Beyond SOAR With AI-Powered Hyper Automation
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Torq Moves SOCs Beyond SOAR With AI-Powered Hyper Automation
Torq, a startup founded in 2020, has introduced AI-powered “hyper automation” to Security Operations Centers (SOCs), enabling them to scale beyond traditional Security, Orchestration, Automation and Response (SOAR) platforms, with its latest funding round valuing the company at $1.2 billion. The company’s AI-native SOC platform, Torq HyperSOC, has been adopted by over 250 customers, including multinational enterprises such as Carvana, Marriott, and Uber.
Why This Matters
The introduction of AI capabilities into SOCs has the potential to significantly boost automation, enabling virtual agents to take on tasks that would otherwise overwhelm security analysts, with Torq’s platform claiming to resolve 95% of Tier-1 alerts and many Tier-2 tasks without human involvement, a significant improvement over traditional SOAR solutions. However, the effectiveness of these AI-powered systems depends on the quality of the data they are trained on and the complexity of the security threats they face, with potential failures costing organizations millions of dollars in damages and lost productivity.
Key Insights
- $140 million Series D funding round for Torq, 2026: A significant investment in the company’s AI-powered hyper automation platform for SOCs.
- AI-native SOC platforms, such as Torq HyperSOC, offer advanced automation capabilities, including autonomous alert triage and incident response, making them more effective than traditional SOAR solutions.
- Companies like Torq, D3 Security, and Swimlane are leading the charge in AI-powered SOAR, with Torq’s open architecture allowing customers to build custom connectors and integrate with various security tools and platforms.
Working Example
# Example of a Python script using Torq's API to create a custom connector
import requests
# Set API endpoint and credentials
endpoint = "https://api.torq.io/connectors"
username = "your_username"
password = "your_password"
# Create a new connector
connector = {
"name": "My Custom Connector",
"description": "A custom connector for my security tool",
"type": "api"
}
# Send request to create connector
response = requests.post(endpoint, json=connector, auth=(username, password))
# Check if connector was created successfully
if response.status_code == 201:
print("Connector created successfully")
else:
print("Error creating connector")
Practical Applications
- Use Case: Companies like Carvana and Uber are using Torq’s AI-powered hyper automation platform to improve their SOC operations, reducing the workload on security analysts and improving incident response times.
- Pitfall: Over-reliance on AI-powered automation can lead to complacency and reduced human oversight, potentially resulting in missed security threats or incorrect incident response, highlighting the need for careful implementation and monitoring of these systems.
References:
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