7AI raises $130M Series A to automate cybersecurity investigations with AI agents

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Boston-based 7AI closed a $130 million Series A funding round led by Index Ventures, achieving a $700 million valuation. The startup, founded by Cybereason veterans including CEO Lior Div, deploys over 40 autonomous AI agents to handle alert triage, investigations, and incident response. The platform promises to reduce investigation time by up to 2.5 hours and filter 99% of false positives.

7AI Secures Record-Breaking Series A Funding for Cybersecurity Automation

Boston-based cybersecurity automation startup 7AI announced it has closed a $130 million Series A funding round led by Index Ventures, achieving a $700 million valuation

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. The round, which the company calls the largest Series A in cybersecurity industry history, included participation from Blackstone Innovations Investments, Greylock, CRV, and Spark Capital

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. This follows the startup's $36 million seed raise in June, which brought in investors including Greylock Partners, Spark Capital and CRV

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How Autonomous AI Agents Transform Security Operations

The 7AI cybersecurity platform deploys more than 40 autonomous AI agents that each focus on different tasks within agentic-powered security operations

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. These AI agents handle critical non-human security operations tasks including alert triage, investigations and incident response

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. Some agents search for vulnerabilities and malicious activity, while others perform auxiliary activities such as collecting technical data about potentially compromised devices

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. The platform gathers cybersecurity data through integrations with existing breach detection tools, eliminating the need to copy information to centralized environments and reducing storage costs

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Source: SiliconANGLE

Source: SiliconANGLE

Dynamic Reasoning Capabilities Reduce False Positives

The agents leverage dynamic reasoning capabilities to adapt to various scenarios and eliminate false positives, enabling faster responses within security operations

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. The platform displays detected issues in a to-do list that visualizes each item as a summary card, ranked by severity. A suspected breach of an accounting database would appear above a compromised test environment without sensitive records

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. Built-in AI automatically investigates each incident and generates natural language descriptions. After detecting a phishing email, 7AI might explain that the message contains a PDF attachment with malicious links

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. The company promises to reduce false positives by up to 99%

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Customization Options and Generative AI for Cyber Defense

Customers can customize which activity patterns 7AI flags as malicious. A company could enter a rule prohibiting workers from uploading data to certain file sharing services, with exceptions for specific users or departments

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. The platform can be purchased standalone or as part of 7AI Platform + PLAID, which combines the software with professional services to help organizations customize features and add integrations with third-party cybersecurity tools

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. 7AI has positioned itself as the first agentic security platform capable of fully utilizing the capabilities of Generative AI for cyber defense

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Leadership Vision and Strategic Partnerships

CEO Lior Div, who previously founded Cybereason, explained the platform's value proposition: "We keep adding more people and detection tools to handle exponentially increasing threats and alerts. The math just doesn't work. Instead of security teams drowning in investigations that take hours, our AI agents complete them in minutes at a speed, accuracy, and consistency that's difficult for humans and automation to match"

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. The company reports that its platform reduces investigation time by 30 minutes to 2.5 hours

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. In August, 7AI announced a partnership with technology services provider DXC that combines DXC's security operations capabilities with autonomous AI agents from 7AI, offering end-to-end managed security operations including ingesting alerts, investigating potential issues and remediation

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Source: CRN

Source: CRN

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