Watch an investigation unfold in real time.
This is what your analysts see inside AISA - every query, every artifact, every subagent decision, traceable end to end.
- 13:08:10Running QueryrunningQuery all entities in the Knowledge Graph
- 13:08:13Running QuerypendingQuery all relationships in the Knowledge Graph
- 13:08:16Updating DocumentpendingCreate the investigation skeleton in /analysis.txt
- 13:08:19Correlating FindingspendingGrep offense.json for metadata and framing fields
- 13:08:22Correlating FindingspendingGrep logs for Log4j exploitation indicators
- 13:08:25Mapping ATT&CKpendingTechnique T1190 → external-facing Apache host
- 13:08:28Drafting VerdictpendingCompose analyst-ready recommendation
Illustrative replay - every step, query and artifact is traceable inside the real product.
Too many alerts. Not enough analysts.
Security teams rely on SIEM solutions to detect threats, but the volume of alerts generated by modern environments has outpaced human capacity.
As alert queues grow and skilled analysts remain scarce, SOC teams face:
Alert fatigue
Endless repetitive Tier 1 investigations drain focus and morale.
Delayed response
Critical incidents slip through while teams clear lower-priority noise.
Inconsistent triage
Quality varies shift to shift, analyst to analyst - with no shared standard.
Rising costs
Scaling headcount and tooling can't keep pace with alert growth.
Burnout & turnover
Skilled analysts leave, taking institutional knowledge with them.
Data without decisions
More telemetry doesn't help if no one can act on it in time.
The challenge isn't collecting more security data - it's turning that data into actionable decisions at scale.
Your SOC shouldn't be limited by human bandwidth.
A loop that compounds every shift
Each alert your team closes makes the next one easier. AISA sits in the middle of the workflow - quietly absorbing, structuring, and replaying analyst expertise.
- 1AlertSignal arrives from SIEM, EDR, or detection pipeline.
- 2InvestigateAnalyst triages with AISA-surfaced context and prior cases.
- 3CaptureDecisions, rationale, and outcomes recorded automatically.
- 4LearnPatterns distilled into reusable institutional knowledge.
- 5AccelerateNext investigation starts with everything the last one learned.
Deploy where your data lives.
On-prem, private cloud, hybrid, or fully air-gapped with a locally hosted model. Pick the model that fits your compliance posture — not the other way around.
On-Premise
Kubernetes cluster inside your infrastructure. Full data control, customer-managed.
Cloud
Fully managed EU-region deployment with elastic scaling and automatic updates.
Hybrid
Sensitive workloads stay on-prem; elastic components run in cloud — one unified pipeline.
Local AI Model
Open-weight models deployed locally. No external API calls, ever.
API-Based
Access AISA 2.0 via API for rapid experimentation or non-sensitive workloads.
MSSP Multi-Tenant
Dedicated database and AI instance per client. Zero cross-tenant leakage, per-tenant tuning.
Your data stays yours.
Encryption end-to-end, strict tenant isolation, and a firm rule: no customer data is ever used to train foundation models.
Every request encrypted, every backup sealed.
Least-privilege by default, audit trail on every action.
Dedicated DB and AI instance per client. Zero cross-flow.
Or fully air-gapped where nothing leaves your network.
No customer data is used to train foundation models · Human-in-the-loop on every action
Built for the regulated enterprise.
Human-in-the-loop by design. Classified as a Limited Risk AI System under EU AI Act Article 6 — AISA recommends, humans decide.
Human-in-the-Loop
L1 → L2 → L3 → SOC Lead. Every critical decision, escalation, and remediation requires analyst authority.
Explainable AI
Traceable evidence, contextual reasoning, and calibrated confidence scores on every recommendation.
Auditability
Every AI action, escalation, and analyst override is logged in a tamper-evident, tenant-scoped audit trail (see Security & data for controls).
No Training on Your Data
Pre-trained LLMs used in inference mode only. Customer production data never leaves defined boundaries.
BeforevsAfter
Not the problems - the measurable change in how the work gets done.
Minutes to hours of manual enrichment per offense.
Enriched, correlated and triaged in seconds - analyst reviews, not assembles.
Free-text notes, inconsistent depth between shifts.
Structured report: timeline, evidence, ATT&CK mapping, verdict - every time.
6-9 months before a new hire works autonomously.
Day-one access to the team's accumulated reasoning and playbooks.
The same case re-investigated from zero each time.
Prior cases, runbooks and rationale surface inline before work starts.
Evidence reconstructed manually when regulators ask.
Traceable decision record for every action, exportable on demand.
What SOC leaders ask first.
Book a 30-minute call. We'll show you AISA running on a SOC workflow that looks like yours.