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MetaSecure is XenonStack's enterprise AI automation platform for security teams that must move faster without losing control. It automates alert triage and investigation inside governed workflows, and it records the evidence and reasoning behind every decision so that your audit trail is ready when reviewers ask. Security leaders get the speed of automation with approvals, boundaries and traceability built in.
MetaSecure is the autonomous SOC platform in XenonStack's Foundry lineup, focused on trust, compliance and defence. It ranks alerts, collects and correlates evidence across the environment, and gives analysts recommendations backed by evidence chains.
Security automation compliance is the discipline of proving that automated security actions were authorised, bounded and reviewable. It matters because automation that cannot be explained is automation that regulators, auditors and your own board will not accept.
MetaSecure monitors endpoint, phishing and SIEM alert streams around the clock. Agents triage incoming alerts, escalate critical findings at once, and run autonomous investigations that gather and correlate evidence.
Analysts receive a recommendation with the supporting evidence chain, then validate, tune or override it. Feedback loops refine detection and response over time. For the wider operating model, see Agentic SOC.
MetaSecure workflows run on XenonStack's governed agent foundation, ElixirClaw, which enforces policy limits, human approvals and decision traces at runtime.
MetaSecure works with the security stack you already run rather than replacing it. The Agentic SOC page describes integrations with Microsoft Defender XDR, Azure Sentinel, AWS Security Hub and ServiceNow incident management and ticketing, plus threat intelligence feeds. Your team can start with the tools it trusts and extend from there.
| Capability | What it does | Why it matters for compliance |
|---|---|---|
| Alert analysis | Ranks alerts to reduce noise | Focuses reviewers on what matters |
| Autonomous investigation | Collects and correlates evidence | Creates a documented evidence base |
| Decision support | Recommends actions with evidence chains | Makes reasoning reviewable |
| Approval gates | Routes sensitive actions to people | Keeps accountability with humans |
| Decision traces | Records actions and tool calls | Supports audit and incident review |
| Continuous improvement | Refines detection through feedback | Shows controls improving over time |
Begin with a focused workshop to map one security workflow, such as phishing triage, against the controls your auditors expect. Agree the approval points, the evidence you need to retain, and the tools to connect. Then pilot in a bounded scope before widening it.
No. It works alongside your SIEM and endpoint tools and supports analysts, who stay in control of decisions that matter.
Yes. Human-in-the-loop controls let analysts validate, tune or override recommendations, and sensitive actions require approval.
Agent actions and tool calls are traced, and approval and exception records are retained, giving reviewers a clear account of what happened and why.
Requirements differ by sector and by organisation. Talk to our specialists about how the controls map to your obligations, and see the MetaSecure page for sector detail.
Read our guide to the best security AI automation platforms.
Book a Context Workshop with XenonStack and map your first use case to the controls your audit team needs.
AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability
AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly
Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics
Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment
AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready
Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter