The cohort piece is key for log onboarding: new sources don't need weeks of parsing. AI understands event meaning and groups automatically.
Raw logs → actionable cohorts. No normalization rules required.
More coming soon. Want to see it in action? → https://t.co/s1yeDjRCRK
Some recent updates to the Auguria workspace 👇
What you're seeing:
→ Raw search w/ structured controls or full SQL
→ Cohort analysis: billions of events grouped by behavior & risk
→ AI chat alongside the workspace
→ Investigation context that carries across questions
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6-8 weeks to value. One engineer's full attention.
Zero detection coverage during that time.
Meanwhile, three more requests came in.
What if new sources onboarded in hours, with detections included? 👉 https://t.co/s1yeDjRCRK
With Auguria:
Day 1: Connect sources. Logs flow.
Day 2: SKL maps every source automatically.
Day 3: Detections generated, mapped to ATT&CK.
Day 4: Team reviews. Environment protected.
Four days. Not six months.
Your team makes decisions about security, not parsers.
Your company just acquired a 200-person SaaS startup.
CISO needs visibility in 30 days. Dozens of new data sources your team has never seen.
Old world: 6-month project. Inventory, parse, normalize,
detect, validate. Two engineers. Blind spot the whole time.
🧵
What changes:
→ Security data → SIEM
→ Compliance data → low-cost archive
→ Noise → filtered at pipeline
→ Bill drops up to 60%
You don't have to guess which 40% matters.
Let's take away the guesswork → https://t.co/s1yeDjRCRK
The SIEM math:
60% of ingested data → zero security value
40% of ingested data → powers your detections
You're paying for 100%.
Auguria shows on day 1⃣:
→ Which sources map to detections
→ Which ATT&CK techniques you're missing
→ Exactly what each category costs monthly
🧵
What your SIEM bill pays for vs. what protects you:
PAYING FOR:
→ Elasticsearch heartbeats
→ Denied-by-default firewall events
→ DNS to known-good domains
PROTECTING YOU:
→ Credential stuffing sequences
→ Lateral movement patterns
→ Anomalous outbound connections
🧵
Uber blew their entire 2026 AI budget by April. Coding assistants, the EASY case.
Security agents are the HARD case. They don't ask "what's in this file?" They ask, "What happened across my entire stack and which events matter?"
Context required: orders of magnitude more.
🧵
This is why we built the Security Knowledge Layer:
→ 99.99% reduction from raw telemetry to knowledge
→ Context in milliseconds, not minutes
→ Full picture at a fraction of token cost
🧵
The winners won't have the best model. They'll have the best data foundation.
What's blocking your next step — the AI or the data?
Book a demo for more insight’s → https://t.co/s1yeDjRCRK
Biggest theme at RSA: AI SOC. Every booth had it.
Biggest question in hallway conversations: "How do I get AI-ready without a 2-year data project?"
CISOs aren't skeptical of AI. They're skeptical of AI built on bad data.
🧵
The agentic layer is commoditizing. Dozens of vendors doing the same triage and summarization. The model isn't the moat.
Richard Rushing (Motorola CISO) nailed it: the hard part isn't AI. It's understanding the organization well enough to grasp second-order effects. Layer 8.