For the first time, enterprises in regulated industries can build a fully autonomous, AI-driven Security Operations Center entirely inside their own infrastructure – with zero data leaving the perimeter.
May 21, 2026 – A leading European telecom operator is now running fully autonomous AI security investigations on its own hardware, inside its own data center, with no security telemetry ever leaving its infrastructure. Its AI-driven SOC triages alerts, maps threats to MITRE ATT&CK, gathers evidence across hundreds of log sources, and delivers investigation-grade verdicts continuously, at machine speed, at 44% lower total cost of ownership than building an equivalent capability in-house. The deployment moved from contract to production environment, and it runs entirely on UnderDefense.
Today, UnderDefense – a global cybersecurity company protecting enterprises across four continents – announces the general availability of on-premise and air-gapped deployment for its Agentic AI SOC platform, the first enterprise-grade, fully autonomous AI security operations capability designed to run entirely within a customer’s own closed infrastructure, with sovereign AI model support and zero external data dependency.
The Problem Every Cloud AI SOC Vendor Is Ignoring
The AI SOC market has a foundational assumption baked into every product, every pitch deck, and every enterprise contract: your security data goes to the cloud. Your logs, your identities, your network telemetry, your threat investigations – all of it leaves your building, transits a vendor’s infrastructure, and gets processed by AI models you do not control and, in many cases, cannot audit.
For a significant and growing segment of the global enterprise market, that assumption operates as an outright disqualifier rather than a manageable trade-off.
European enterprises operating under GDPR face a legal reality that most cloud AI SOC vendors quietly ignore: security logs contain personal data, and sending them to US-based AI infrastructure requires legal bases that have become increasingly untenable since Schrems II. Critical infrastructure operators – telecoms, energy providers, transport networks – work under national security frameworks that categorically restrict where threat data may be processed. Financial institutions across the EU, Middle East, and APAC operate under hard data residency requirements that no contractual commitment from a US cloud provider fully resolves. For defense-adjacent organizations operating in classified or air-gapped environments, cloud-delivered security tooling has never been on the table and never will be.
These organizations have been told, implicitly, by every major AI SOC vendor that the product was built for someone else. They have been left choosing between inadequate rule-based SIEM automation, expensive custom AI builds that create unsustainable internal key-person dependencies, and accepting sovereignty and compliance risk that their legal, regulatory, and security teams cannot sign off on. Today’s announcement closes that gap directly.
Build Your Own AI-Driven SOC. Inside Your Walls. Under Your Control
UnderDefense’s Agentic AI SOC platform now deploys fully on-premise – on any Kubernetes infrastructure, in any data center, on any private cloud, in any jurisdiction – with the complete agentic capability stack intact.
Six specialized AI security Teammates, more than 200 agent skills, and over 400 AI tools work together autonomously toward a single objective: investigate every alert, find every relevant piece of evidence, and deliver a verdict a human analyst can act on, without a single byte of security telemetry leaving the customer’s perimeter. The release represents a structural answer to a problem the industry has refused to solve, rather than a feature addition layered on top of existing assumptions.
“We have spoken to hundreds of CISOs across Europe, the Middle East, and regulated industries globally, and the conversation is always the same,” said Nazar Tymoshyk, CEO of UnderDefense. “They need modern AI-driven security operations, and they cannot send their data to the cloud. Until today, no one was giving them a real answer. We are the only vendor that meets the full spectrum of requirements – sovereignty, air-gap, regulatory compliance, and genuine agentic investigation capability – in a single production-ready platform that is shipping now, not sitting on a roadmap.”
What Makes It Different
The MAXI Agentic AI SOC is built as a multi-agent system rather than a large language model with a SIEM query API bolted on. Six AI security Teammates, each with a specialized role in the investigation workflow, operate in concert to replicate the cognitive process of a full SOC analyst team:
- One Teammate classifies every incoming alert against MITRE ATT&CK, regardless of whether the originating detection rule contains any ATT&CK metadata.
- One selects the most relevant log indices from the customer’s SIEM – intelligently, from environments with hundreds of indices – building a persistent knowledge map that gets smarter with every investigation.
- One executes evidence gathering, translating workbook-defined investigation plans into precise SIEM queries against the customer’s actual data.
- One validates every piece of gathered evidence against expected findings, scoring each as benign, suspicious, or malicious.
- One synthesizes the full evidence picture into a verdict, a confidence level, and an investigation narrative suitable for human review, escalation, or regulatory documentation.
- One routes the complete investigation output to the customer’s existing workflow – Microsoft Teams, Jira, Slack, or email – as a structured, actionable incident record.
The platform ships with over 700 MITRE ATT&CK-mapped investigation workbooks, representing the encoded knowledge of UnderDefense’s SOC analyst team and operational from day one. It connects to the customer’s existing SIEM – Splunk or Elastic – without replacing it, delivers results to the customer’s existing ticketing and collaboration tools, and supports bring-your-own AI model across Azure AI Foundry, AWS Bedrock, or sovereign open-source models self-hosted entirely within the customer’s perimeter. Full deployment on prepared infrastructure completes in under five minutes.
For the Enterprises the Industry Left Behind
The general availability of on-premise and air-gapped deployment is immediately relevant to four enterprise segments that have had no viable AI SOC option until now:
- European enterprises under GDPR can now run agentic AI security operations entirely within EU infrastructure, paired with an EU-hosted or self-hosted AI model and an auditable data processing record that satisfies both DPO requirements and GDPR Article 30 obligations.
- Critical infrastructure operators – including telecoms, energy providers, and transport networks – can deploy the full agentic AI SOC inside their own data centers, meeting national security and data localization requirements without compromising investigation capability.
- Financial institutions subject to DORA, data residency mandates, or national banking regulations can operate AI-driven security investigations within their jurisdictional boundary, with investigation output delivered to internal systems only.
- Air-gapped and classified environments can, for the first time, run a genuine agentic AI SOC with no external connectivity requirement, including self-hosted AI model inference entirely within the closed network.
The Economics
Independent analysis confirms that enterprises deploying MAXI Agentic AI SOC On-Premise achieve up to 44% lower total cost of ownership compared to building an equivalent AI investigation pipeline on raw cloud AI APIs – once engineering time, model prompt development, maintenance overhead, token cost optimization, and the key-person dependency of an in-house build are all accounted for in full.
The platform’s built-in AI Cost Center provides live, per-investigation visibility into AI model token consumption and dollar cost, giving enterprise procurement and finance teams the transparency they require, and giving security teams the data they need to continuously optimize.
Availability
MAXI Agentic AI SOC On-Premise is available now for enterprise customers globally. Deployment requires a Kubernetes cluster, a supported AI model endpoint, and a SIEM connector. UnderDefense offers both self-service deployment with full documentation and a fully managed deployment model for enterprises that want the sovereign security boundary without the internal infrastructure overhead.
To learn more or schedule a deployment demonstration, visit underdefense.com.
UnderDefense is a global cybersecurity company delivering Managed Detection and Response, Agentic AI Security Operations, and Compliance AI to enterprises across four continents. The MAXI SecOps and Compliance Agentic AI platform combines autonomous multi-agent investigation, SOAR-native response orchestration, and continuous compliance automation in a single platform – available as cloud-delivered SaaS or fully on-premise deployment.
Ready to bring autonomous AI security inside your perimeter? Try MAXI Agentic AI SOC platform
