As enterprises modernize security operations with artificial intelligence, organizations are seeking flexible platforms that work with existing security infrastructure instead of replacing it. 7AI has introduced two major platform capabilities 7AI Federated SIEM and 7AI Build—to help enterprises deploy AI-native security operations with federated data access, customizable agentic workflows, and enterprise-specific security intelligence.
7AI has expanded its AI security platform with the launch of 7AI Federated SIEM, enabling security teams to query, investigate, and respond to threats across multiple data sources without requiring organizations to centralize all security data into a single SIEM.
Rather than replacing existing security infrastructure, the platform separates detection from storage, allowing enterprises to investigate data wherever it resides, including existing SIEMs, cloud platforms, customer-managed data lakes, or 7AI's own data lake. This federated approach gives organizations the flexibility to modernize security operations at their own pace while reducing unnecessary data duplication.
"Three out of five customers we have talked to in the past year tell us the same thing: they want to stop putting everything into the SIEM," said Lior Div, co-founder and CEO of 7AI.
"When AI agents can query, investigate, and act on data where it lives, customers start pushing for a federated approach. Our approach is agnostic. We separate detection from storage, enable fully federated detection, and read from and act on data wherever it is stored, whether that is our data lake, in what a customer already uses, or a combination of both."
Alongside Federated SIEM, the company introduced 7AI Build, a platform capability that enables enterprises and technology partners to create custom agentic workflows, AI-powered security skills, and AI-native security services.
The platform allows organizations to embed institutional knowledge, internal processes, investigative techniques, policies, and enterprise context into AI agents. These enhancements extend 7AI's context graph, enabling AI agents to make decisions based on an organization's specific environment rather than relying solely on predefined workflows.
"The same is true for how agents work," Div continued. "An investigation using generic AI tooling can tell an analyst whether an alert looks suspicious in isolation. It cannot understand how that alert changes based on the customer's users, assets, policies, applications, workflows, historical investigations and institutional knowledge. 7AI builds a context graph for each customer's environment, connecting federated data access, enterprise insights and customer-defined skills so agents can reason against how the organization works. With 7AI Build, customers and partners can extend that context directly, so agents investigate, optimize detections, respond and hunt based on the customer's reality, not a vendor's default workflow."
The announcement builds on 7AI's earlier releases, including Threat Hunt, Threat Intel Hunt, and Skills, which introduced proactive AI-driven threat hunting and customizable security agent capabilities.
According to the company, its AI agents have completed more than nine million security investigations across enterprise environments, returning more than one million analyst hours to customer security teams. These results demonstrate the growing role of AI-powered automation in reducing repetitive security operations while allowing analysts to focus on higher-value investigations.
With the latest release, the 7AI platform now supports three deployment approaches for AI-native security operations:
"AI security platforms cannot be rigid," said Yonatan Striem-Amit, co-founder and CTO of 7AI. "Every enterprise has its own tools, policies, workflows, risk tolerances, and institutional knowledge. The platform must understand that context and let customers build on it. That is fundamentally different from traditional automation. 7AI gives organizations a foundation where agents can reason, act, learn from context, and be extended by the people who know the environments best."
7AI will demonstrate Federated SIEM, 7AI Build, Threat Hunt, Threat Intel Hunt, and Skills during Black Hat USA 2026, showcasing how enterprises can build AI-native security operations using flexible, context-aware AI agents that integrate with existing security ecosystems.
7AI is the foundational AI security company. Its platform gives enterprises and partners the data, context, intelligence and action layer to build AI-native security operations, from federated SIEM and agentic investigation to threat hunting, response and workflow automation, and custom AI security services. Proven in production at Fortune 500 scale with more than 9 million investigations, 7AI removes the repetitive work humans should not have to do, so security teams can focus on proactive defense, strategic decision-making, and the work that protects organizations. Backed by $166 million in total funding and founded in 2024 by Lior Div and Yonatan Striem-Amit, 7AI is headquartered in Boston. Learn more at 7ai.com.
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