UnderDefense Description
UnderDefense is an agentic AI SOC and compliance automation platform designed to help security teams investigate threats faster and reduce operational friction. The platform uses swarming AI agents to investigate alerts, correlate data across systems, enrich findings, verify context, and produce clear verdicts within minutes. MAXI is built to eliminate false positives, improve SIEM and EDR efficiency, and help analysts focus on strategic security work instead of repetitive Tier 1 and Tier 2 triage. The platform includes three core layers: MAXI AI SOC for alert investigation, MAXI Compliance for continuous evidence collection and reporting, and expert MDR and incident response for human-backed security operations. It supports use cases such as managed detection and response, managed SOC, managed SIEM and EDR, cloud security monitoring, ransomware protection, incident response automation, penetration testing, and compliance services. MAXI Compliance supports frameworks such as SOC 2, ISO 27001, HIPAA, and PCI DSS with automated evidence collection, questionnaire automation, posture monitoring, and board-ready reporting. UnderDefense integrates with more than 100 tools across cloud, identity, SaaS, endpoint, network, SIEM, EDR, ChatOps, and project management systems. Security teams can escalate through Slack or Teams and assign issues directly in Jira for faster response coordination. By combining AI-driven investigation, compliance automation, transparent reporting, human incident response experts, and broad integrations, UnderDefense MAXI helps organizations modernize SOC operations without losing control of decisions.
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
The SOC that let us keep building instead of watching alerts Date: Aug 04 2026
Summary: Bringing in UnderDefense Agentic AI SOC was one of the better calls we made this year. Our team stopped babysitting alerts and started spending that time on work that actually moves things forward. The investigation quality has been consistently solid, and it made financial sense too - building that same coverage in-house would have cost far more in tooling and headcount. It feels like a partnership rather than a vendor relationship, and that comes through in how fast they respond and how well they adapt to how we work.
Positive: The real value for us was coverage across our environment, without adding headcount just to watch dashboards. Alerts land already triaged and enriched, so we're not sifting through raw noise to figure out what's actually urgent. Investigations come with clear timelines and evidence, which made it easy to explain what happened without translating raw logs ourselves. Escalations move fast and the analysts clearly understand our environment, not just a generic playbook. Onboarding went smoother than we expected, and it was pulling its weight within the first few weeks.
Negative: Tuning took a few weeks to get detections fully aligned with our setup but it was expected, definitely worth planning for.
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
AI SOC that genuinely took the load off our team Date: Aug 02 2026
Summary: Bringing in UnderDefense AI SOC was one of the better decisions we made this year. Our internal team went from chasing alerts to working on things that actually move security forward, and the quality of investigations we receive is consistently high. It also made real financial sense. Building the same level of coverage in house would have cost us significantly more in headcount and tooling, so the budget impact was clearly positive. The relationship feels like a partnership rather than a vendor contract, and that shows in how quickly they respond and adapt.
Positive: The biggest win for us was coverage. We got real 24/7 monitoring without hiring more analysts, and the alerts that reach us are already triaged and enriched, so the team is not drowning in noise anymore. Investigations are thorough and easy to follow, with clear timelines and evidence instead of raw logs. When we escalate something, the response is fast and the analysts actually understand our environment. Onboarding was smoother than expected and the platform was useful within the first weeks.
Negative: It took a few weeks of tuning on both sides to get detections fully aligned with our environment, which is normal but worth planning for. We would also like a bit more flexibility in building custom dashboards and reports without asking the team for help
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