Your security stack generates signals in 12 different languages across 12 different dashboards. Aegis ingests them all, unifies them into a single risk picture, correlates signals across every source simultaneously, and predicts where risk is heading — before it becomes an incident.
Your security posture, KPIs, KRIs, drift events, live alerts, and predicted risk — answered in plain English. No SQL. No code. No delay. Just ask.
Plain-language answers with full context and signal lineage
Sortable results with risk scores, drift indicators, and status badges
Visual risk trajectory, threshold bars, and comparison charts
All inference runs on-boundary. Your data never leaves your environment.
42+Sources queryable
in a single question
<2sResponse time
for complex queries
0Lines of SQL
written by the user
Role-awareCISO view vs.
analyst drill-down
Sentinel fires an alert. AWS flags a CIS violation. Entra ID logs 847 failed authentications. Palo Alto detects C2 traffic. Each signal is real. Each tool is doing its job. But no single system is connecting them — correlating the auth spike with the network anomaly, spotting the emerging pattern, and predicting where it leads. That gap between signal and intelligence is where incidents become breaches. Aegis closes it.
To get a cross-tool risk intelligence answer
Manual evidence collection and reconciliation
Analysts copy-pasting instead of analyzing
❌ Inconsistent metric definitions across tools | ❌ Manual reconciliation for every audit | ❌ Siloed insights that never connect | ❌ Zero AI governance capability
Aegis VDS ingests all 42+ sources and normalizes every signal into a single canonical risk model.
Every tool in your stack is doing what it was designed to do. The gap isn’t in the tools — it’s in the layer between raw signals and the strategic questions your board, auditors, and compliance frameworks actually require.
Three types of output — all generated from the same unified data layer. All available in plain English. All within your security boundary.
Aegis runs a continuous four-stage lifecycle — ingesting raw signals from every source, unifying them into a common language, correlating patterns across domains, and predicting where risk is heading. All within your security boundary. All in under 60 seconds.
Aegis is not a single tool. It’s a coordinated platform of purpose-built engines — each one designed to eliminate a specific layer of manual work, and all sharing the same canonical data model.
Configuration-driven connector engine. Point, connect, and Composer handles extraction, transformation, and canonicalization — no custom ETL code required.
42+ VDS connectors · Native API wire format · Bronze/Silver/Gold tiers.
One definition of “risk score,” “control failure,” or “incident” — used everywhere. SemantIQ eliminates the reconciliation problem at its root: every metric is computed the same way every time.
26 canonical transforms · No metric drift · Cross-source consistency
Ask questions about your security data in plain English. ConverseDataIQ translates intent to optimized SQL, runs it against your unified data model, and returns results in under 2 seconds.
NLP-to-SQL · Role-aware · 42+ source types queryable
Chat with 14+ compliance and AI governance frameworks — NIST AI RMF, ISO 42001, SOC 2, FedRAMP, EU AI Act. RAGConvo retrieves, cites, and applies framework requirements to your live evidence data.
14+ frameworks · Evidence-grounded · On-boundary RAG inference
Every query result becomes a chart. DataLens automatically selects the right visualization — trend line, bar chart, heat map, scatter — and renders it inline with the answer, no BI tool required.
Auto-chart · Role-adaptive · Export-ready
Ask for any report — board briefing, audit evidence packet, quarterly risk summary, AI governance status — and receive a fully cited, professionally formatted document drawn from live platform data in 30 seconds.
30-second generation · Every number sourced · Audit-defensible
Aegis doesn’t add another dashboard to your stack. It ingests every signal your stack already generates, unifies them into a common risk language, finds the patterns no single tool can see, and tells you where risk is heading — not where it’s been.
Every tool in your stack measures risk differently. AWS uses compliance percentages. Sentinel uses severity levels. Entra ID logs raw event counts. The Aegis Risk Intelligence Engine ingests all of them, normalizes them into a single 0–100 composite risk score, and then predicts where that score is heading over the next 14 days — with confidence bands, drift alerts, and full lineage from raw signal to executive dashboard. No aggregation. No guesswork. No black boxes.
847 failed logins in Entra ID at 02:00 UTC. C2 traffic on port 8443 in Palo Alto at 02:14 UTC. A privilege escalation attempt in Sentinel at 02:38 UTC. Three separate alert queues. Three separate analysts. No one connecting them. Aegis correlates signals across every connected source simultaneously — matching timestamps, IP ranges, user identities, and behavioral patterns to surface compound threats that isolated monitoring will never catch. This is the intelligence gap Aegis was built to close.
Every intelligence finding becomes a prioritized, contextualized, assignment-ready work item with everything needed to act: what happened, which systems are affected, composite risk score, cross-source context, and AI-generated remediation steps. No alert fatigue. No triage bottlenecks. Threshold rules evaluate every 60 seconds.
Every source in your security stack generates risk signals — but each one speaks a different language, uses a different severity scale, and stores data in a different schema. The Aegis VDS framework connects to 42+ sources and translates every signal into a single canonical risk model. No custom ETL. No professional services. No data normalization sprints. The moment you connect a source, its signals start informing your composite risk score.
Every intelligence finding becomes a prioritized, contextualized, assignment-ready work item with everything needed to act: what happened, which systems are affected, composite risk score, cross-source context, and AI-generated remediation steps. No alert fatigue. No triage bottlenecks. Threshold rules evaluate every 60 seconds.
Aegis computes 32 Key Risk Indicator metrics continuously across all connected sources — no spreadsheets, no manual reconciliation, no analyst queue. Ask any of them in plain English and get an answer in under 3 seconds.
ASK: “What is our overall risk score, MTTD, and compliance gap score this quarter?” → Answer in <3 seconds. Not 3 days.
All RIE jobs, LLM inference (120B parameter model), and data pipelines execute within your VPC. Zero internet egress for intelligence workloads.
Aegis doesn’t replace your security tools. It makes them exponentially more valuable by unifying their signals into a single intelligence layer.
Don’t see your stack? Talk to us →
Your existing tools are excellent at what they were designed to do. None of them were designed to do what Aegis does.
