The Agentic SOC puts AI agents to work across security operations — detecting, triaging, hunting, and reporting across your whole environment in minutes, not days. Read-only by design, human-verified by default, and built to run wherever your data lives: your existing SIEM in the cloud, or fully on-prem on your own hardware.
Ask a question once and get a single answer across every connected environment. The Agentic SOC fans a query out to your entire fleet and returns true totals — not per-system fragments you have to stitch together by hand.
Dozens of agents work in parallel — triaging, verifying, hunting, and cost-modeling at the same time. Before any finding is trusted, independent agents try to refute it, so "malicious" means corroborated, not merely plausible.
A full investigation chain runs automatically: alert to entities, to source IPs, to sign-in verification, to what happened next — inbox rules, consent grants, role changes, and persistence.
Run one hypothesis across every connected environment at once, with per-system isolation and rate-limit handling so a single noisy source never stalls the sweep. Hunts that took days of per-system work finish in minutes.
Analyst dashboards, customer advisories, and executive briefs are generated from live data — rendered to your house style and exportable to PowerPoint. Where a data source isn't connected, the output says so plainly. No fabricated numbers, ever.
Real-time threat intel is scored, enriched against known-exploited-vulnerability and threat-actor references, deduplicated, and routed to the right channel — so your team sees what matters, when it matters.
Measure true data ingestion and usage across the estate and turn it into list-price and post-discount cost models on demand — grounding budget and vendor-value conversations in measured data instead of guesswork.
Agentic speed is only useful if it's safe to point at real data. These properties are enforced in code — not promised on a policy slide — which is what makes the platform deployable in regulated and multi-tenant environments.
The platform only ever opens read connections. Write and management access is never built into it — it cannot change your environment, by construction.
Every customer-facing artifact is produced as a draft for a human to verify and deliver. Nothing reaches a customer automatically.
Identity fields are detected and hashed in output automatically. Access to raw data is opt-in, internal, and audited.
Ad-hoc queries run against an allow-list, with destructive operations blocked, a strict time window, and a row cap — and every call is recorded.
Reads flow through delegated access or an on-prem connector. No customer credentials are stored in code.
Every query, every suppression, and every access to a sensitive environment is logged with a reason — defensible to leadership, customers, and auditors.
It works with the security tools you already run, integrating through a portable MCP interface. Already operate an MCP server? We connect to it. If not, we stand one up.
Run it against your cloud SIEM, or fully on-prem on your own hardware with local AI inference — so sensitive data never leaves your network.
The agent layer doesn't depend on any single AI model or backend. It gets better as the models improve, with no re-platforming.
Findings flow into your case-management workflow with indicators and notes, and bulk disposition keeps the queue clean — detection through to documented resolution.
We'll walk you through agentic operations against a real estate — the investigations, the fleet-wide sweeps, and the read-only, human-verified guardrails that make it safe to deploy near production data. No commitment.
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