Dark Star
AI MDR

An AI SOC (AI security operations center) is a SOC where AI agents perform the core operational work — detection, triage, investigation, and response — by reasoning over your security telemetry under human oversight. Instead of analysts working an alert queue, the AI resolves routine events at machine speed while humans supervise, approve high-impact actions, and handle what genuinely needs judgment.

An AI SOC describes the operating model: AI agents running security operations under human oversight. AI MDR is that model delivered as a managed service. With Dark Star AI MDR, you get the AI SOC without building or operating it — Apsispoint deploys the AI in your cloud, connects your existing tools, and our analysts supervise it 24/7 with accountability for every outcome.

An AI SOC platform is software you buy and operate: your team configures it, tunes it, staffs the oversight, and owns the outcomes. AI SOC as a service (what Apsispoint delivers) includes the platform plus the people — deployment, continuous tuning, 24/7 analyst supervision, and outcome accountability. If you have a mature SOC team looking for leverage, a platform can work; if you want the outcomes without running another system, the service model wins.

AI MDR (AI Managed Detection and Response) is the AI-native evolution of MDR. Agentic AI handles the high-volume work — triage, enrichment, and investigation — at machine speed across your endpoint, email, identity, and cloud signals, while Apsispoint analysts supervise the AI, approve high-impact actions, and own every outcome. You get faster detection and response and a fully managed service, not another tool to run.

No — it augments them. The dominant, proven model is AI for volume, humans for judgment. Our agentic AI resolves routine, high-confidence events automatically so our analysts can focus on complex investigations, threat hunting, and containment. Critical response actions pass through a human approval gate, and an Apsispoint analyst is always accountable for the outcome. AI never operates unsupervised.

Traditional MDR relies on human analysts working through alert queues, which limits how fast and how much can be handled and often means you still receive alerts to investigate yourself. AI MDR puts agentic AI in front of that queue — automating triage, enrichment, and investigation in seconds, eliminating the vast majority of noise, and executing pre-approved response actions instantly. Human analysts supervise the AI and handle what genuinely needs human judgment. The result is machine-speed response with human accountability.

We run a human-in-the-loop governance model with configurable autonomy. Agents start with conservative thresholds and expand automation only as confidence is proven in your environment. Every automated action is logged, auditable, and reversible, and high-impact actions (isolating a host, disabling an account) require analyst approval. Our engineers continuously monitor accuracy and tune the models against your data.

Yes. Agents are deployed in your own cloud tenant (Azure, AWS, or GCP) and connect to your existing security stack, so your data never leaves your infrastructure. You retain full data sovereignty, access, and compliance control while Apsispoint manages detection and response on top of it.

AI MDR is tool-agnostic. It integrates with your existing SIEM, XDR, EDR, and SOAR platforms — Microsoft Sentinel and Defender, CrowdStrike, SentinelOne, Splunk, and more — as well as your identity, email, and cloud sources. There's no rip-and-replace and no vendor lock-in; we operate on the stack you already own.

Onboarding is phased: discovery and audit (1-2 weeks), agent configuration trained on your environment and historical data (2-4 weeks), integration and testing (1-2 weeks), then a progressive rollout. Most clients see AI MDR live and delivering measurable noise reduction within 6-8 weeks, with full optimization inside three months.