Robo8The economics of an AI defender.
Security teams can't hire their way out of alert volume. Robo8 reduces the cost and latency of triage and reversible response, while lowering the risk of a missed or slow-handled threat. Here's the argument — and the assumptions behind it.
The problem
Alert overload
SOCs routinely face thousands of alerts a day; most are noise, and analysts can only investigate a fraction. Real threats hide in the backlog.
Fragmented tooling
Network, endpoint, and cloud signals live in separate consoles. The multi-stage attacks that matter span all three and are easy to miss.
Slow, manual triage
Each alert means pivoting across tools, looking up techniques, and judging severity — minutes that add up to hours of mean-time-to-respond.
Talent scarcity & burnout
Skilled analysts are expensive, hard to hire, and quick to burn out on repetitive Tier-1 work.
The solution
Robo8 is the glass-box, sovereign triage-and-response layer that sits on top of the detection you already run. It automates the repetitive 80% — correlation, enrichment, triage, reversible response — and routes the consequential 20% to a human with full context. Unlike the black-box, cloud-only incumbents, every decision is explainable, your telemetry stays on your infrastructure, and nothing gets ripped and replaced.
Illustrative ROI
Example: a mid-size SOC handling ~1,000 alerts/day. Numbers are illustrative.
| Metric | Before | With Robo8 | Effect |
|---|---|---|---|
| Alerts needing human triage | ~1,000/day | ~150/day | Routine triage automated |
| Mean time to triage | 15–30 min | < 1 min (auto) / faster (assisted) | Lower MTTR |
| Analyst hours on Tier-1 | High | Reallocated to investigation | Capacity reclaimed |
| Cross-layer attacks correlated | Manual / missed | Automatic | Fewer misses |
| Audit & reporting effort | Manual collation | Built-in trail + metrics | Compliance ease |
Why now
- Attack volume and automation are rising faster than teams can hire.
- LLMs are finally good enough to reason over security context — and small/local models make it private and affordable.
- Live, machine-readable threat intel (MITRE ATT&CK, CISA KEV) makes grounded reasoning practical today.
- Boards increasingly demand demonstrable, auditable controls — exactly what an agentic, logged defender provides.
How we're different — the wedge
We don't try to out-detect the incumbents at their own game. We win where their strengths become liabilities: opacity, data egress, lock-in, and price.
| Black-box / cloud-only platforms | Robo8 |
|---|---|
| Opaque anomaly scores — "this is unusual" | Explainable, ATT&CK-grounded verdicts with evidence |
| Telemetry feeds the vendor's cloud | Local-first — your data stays on your infrastructure |
| Rip-and-replace sensor / appliance | Layers on top of your existing detection (incl. their alerts) |
| Autonomous actions trusted on faith | Graduated, human-in-command, fully audited |
| Vendor-controlled, static-ish models | Learns from your analysts; poisoning-resistant + drift retraining |
| Enterprise-only pricing | Affordable, open, vendor-neutral |
Reflects common characteristics of black-box / cloud-only platforms; evaluate against your specific vendor.
Deployment & go-to-market
Land — as a layer
Point Robo8 at the alerts your existing tools already export (SIEM/EDR — even a black-box AI platform) in read-only, dry-run mode. Value on real alerts, zero enforcement risk, nothing replaced.
Expand
Enable graduated auto-response for low-risk actions, connect EDR/IdP enforcement, and turn on the learning loop as analysts give feedback.
Pricing model
Subscription by environment / data volume, with a premium sovereign / local-first tier for regulated buyers. (Define tiers for your market.)
Targets
Regulated & sovereign teams that can't send data to a vendor cloud, lean SOCs / mid-market priced out of incumbents, and MSSPs needing per-tenant isolation and transparent decisions.
Risks & how we address them
| Risk | Mitigation |
|---|---|
| Automation acting wrongly | Dry-run default, low-risk-only auto-tier, human approval for destructive actions, full audit, reversible adapters |
| Model error / drift | Augment-never-suppress policy, drift monitoring, retraining, heuristic floor always present |
| Data poisoning | Consensus-based training admission; low-trust analysts excluded |
| Trust & adoption | Explainability, local-first privacy, published security policies |
Ready to evaluate?
Start in read-only, dry-run mode on your own alerts and see the value before anything enforces.