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Agentic & Autonomous SOC vendors are selling AI without customization and fine-tuning. Sold alone, it stays a demo, with zero operational value until it learns your operation.
The Imperum AI Forward Deployed Engineer (AI-FDE) embeds inside your SOC. The engineer writes custom agents, wires your stack and codifies your procedures on the Imperum platform until it runs your operation the way you run it.
Everything is live, versioned and yours. The triage model became active only when your team approved it.
Since the first commercial SIEMs shipped in 1999 and 2000, security vendors have imposed their way of working on the SOC: static products, fixed workflows and integrations that wait for the vendor's roadmap. The SOC did the adapting, and the numbers show how badly that went.
SOAR already showed where that road ends.
Agentic & Autonomous SOC vendors are selling AI without customization and fine-tuning. Sold alone, it stays a demo, with zero operational value until it learns your operation.
An out-of-the-box model doesn't know your crown jewels, your VIPs or your naming conventions, so it confidently triages someone else's network.
Auto-containment without your approval matrix, change windows and asset criticality is a liability, so it ships switched off.
False-positive models only work when they are trained on your alert corpus. Untuned AI faithfully reproduces the noise it promised to kill.
Your CMDB, HR system and internal APIs are in no vendor's catalog. Without those integrations the AI acts blind, or not at all.
Your escalation rules, compliance regime and IR runbooks aren't in the box, so uncustomized agents improvise where you need policy.
For MSSPs, generic agents can't tell customers apart. Per-tenant SLAs, service tiers and isolation all have to be engineered.
Analysts abandon AI they can't audit. Verdicts need your thresholds, your approval gates and explainable reasoning before anyone acts on them.
AI reversed the economics. An agentic platform can be programmed, and Imperum is the first to ship the person who programs it for you as part of the offering.
The static-product era
The agentic era: Imperum + AI-FDE
While the incumbents froze, Imperum spent every year since 2022 on one goal: the most complete AI-powered TDIR platform, with threat detection, investigation and response unified under an Autonomous SOC with agentic AI. The AI-FDE program follows from it.
Imperum starts out AI-first from day one, instead of bolting AI onto a legacy console.
Detection, investigation and response come together on one data plane: ingestion at scale, detections, casebook, hunts and forensics.
Virtus agentic AI ships, with autonomous triage and eight-phase Pilot investigations across the whole connector estate.
Agent Studio and its 2,700+ agent templates, Cerebrum per-tenant learning and Optimus Detection-as-Code make the platform programmable.
Three license tiers, an MSSP fabric and the first embedded engineer program in SecOps.
An AI-FDE is a hybrid technical role. The engineer embeds in your organization, physically or virtually, to customize, integrate and deploy production-grade AI where frontier models meet messy enterprise reality.
Builds custom agents, playbooks, connectors, normalization profiles and integrations on the platform. Every build is production-grade: versioned, tested, approval-gated, documented and yours.
Sits in your stand-ups and post-incident reviews, turns what your analysts actually do into what the platform does automatically, and measures it against your baseline.
Gaps found in your SOC are filed against the Imperum roadmap with AI-FDE priority, so your operational needs steer the product.
The platform learns your organization: its tools, its rules, its people.
Outcomes contracted
The AI-FDE builds your service, not just your instance.
Outcomes contracted
Four phases, each ending on an exit criterion.
Sit with the SOC. Map alert flow, tools, procedures and pain. Baseline MTTT/MTTR, false-positive rate and volumes.
Exit: Signed capability map + prioritized backlog
Agent and playbook designs, a connector plan, the approval matrix and, for MSSPs, the tenant model. Success metrics are agreed.
Exit: Design review accepted
Agents, playbooks, connectors, normalization and ML tuning, shipped weekly behind approval gates and in shadow mode where risk requires it.
Exit: Each increment live in production
Joint operation, metric reviews, analyst training and documentation until your team ships changes unassisted.
Exit: Capability is yours
| Area | How it works |
|---|---|
| AccessYour RBAC | Named accounts under your RBAC. Every AI-FDE action lands in the platform audit trail like any analyst's, and high-risk actions pass the same approval gates. |
| DataYour deployment | Work happens in your deployment: cloud, on-prem or air-gapped. Veil PII redaction applies to any cloud LLM traffic, and fully local LLM operation is available. |
| CodeYours to keep | Everything the AI-FDE builds is delivered as reviewable artifacts (agent definitions, playbook YAML, connector definitions, normalization profiles) and remains yours. |
| Clearances and residencyAvailable | Regional and clearance-holding AI-FDEs are available for sovereign engagements. |
| GovernanceWeekly, monthly, quarterly | A weekly demo, a monthly metric review against the contracted outcomes and a quarterly roadmap session with Imperum product. |
The AI-FDE sits on top of all three Imperum license models. Whichever tier you run, the engineer adapts it to your operation.
Embedded on top of any tier: custom agents, playbooks, connectors, tuning and enablement, delivered inside your SOC.
Your SOC, on autopilot
Autonomous SOC, hyperautomation, forensics and investigation
Superset of Autonomous SOCMSSP/MDR, bring your own stack
Standalone add-ons attach to any tier, and the AI-FDE deploys and customizes them too: Scriptorium (air-gapped document intelligence), Virtus Optimus (Detection-as-Code) and Virtus Sentinel (AI security posture).
12 weeks
One AI-FDE, outcome-scoped: platform live, top-5 use cases codified, team enabled. Fixed scope, fixed price.
6 months
One AI-FDE embedded on sprint cadence, with a rolling backlog governed by a joint steering call.
12 months, dedicated
A dedicated AI-FDE (or pod) with quarterly OKRs tied to your SOC or service KPIs.
Commercial terms, rate cards and regional availability on request.
The AI-FDE model works because the platform was designed for it. Every surface below ships today.
A visual agent builder with a debug toolbar: run, pause, step and breakpoints.
Natural language to executable YAML playbooks.
The connector catalog, with Connector, Ingestion and ECS views per connector.
OpenAPI import and connector-as-code.
ECS 8.11 profiles for any log source.
A per-tenant false-positive classifier, promoted from shadow to active.
Detection-as-Code, cross-vendor.
Scoped keys, webhooks and SDKs.
Tenant isolation, SLAs, federation and a portal.
Air-gapped and sovereign, with Veil redaction.
Every Imperum AI-FDE comes from the operational side of security: people who have carried the pager in a SOC or run delivery inside an MSSP before they ever wrote a line of agent code.
Built and ran a 40-analyst MSSP SOC across three countries before joining Imperum. Specializes in tenant onboarding automation, Case Router tuning and per-tenant SLA engineering.
Former SIEM engineering lead at a European bank who owned 4,000+ detection rules across three platforms. Runs the Virtus Optimus and Cerebrum engagements that kill noisy rules.
Led incident response at a national CERT, with hundreds of engagements from ransomware to APT. Builds Pilot investigation pipelines, forensic playbooks and approval-gated response.
Integration engineer who has wired everything from mainframe ITSM to homegrown CMDBs into SOC workflows. Owns OpenAPI connector generation, Platform API and MCP integrations.
A decade in government and defense SOCs. Delivers air-gapped Imperum with local LLMs, Scriptorium document intelligence and Veil-enforced data boundaries, so data never leaves the building.
Former SOC team lead who grew L1s into hunters. Runs the Operate & Transfer phase: Magister mentorship programs, agent-authoring training and the handover that makes you self-sufficient.
For a quarter century, the biggest vendors told SOCs how to work, because their products could not change. We built Imperum so the product changes instead of the customer, and the AI-FDE program puts the person who changes it inside your team.
No. Classic professional services configure the options a static product already has. The AI-FDE builds new capability on a programmable platform, and every build is tested with the platform's debug tooling, gated by approvals and documented before it ships.
In four phases. Embed & Discover takes weeks 1 to 2 and Design weeks 2 to 4. Build & Deploy follows on a sprint cadence, and Operate & Transfer continues until your team can carry on alone. Each phase closes on its exit criterion, from a signed capability map to increments live in production.
The same kind an analyst gets: named accounts under your role-based access control. Their actions are recorded in the platform audit trail, and anything high-risk waits at your approval gates.
Nowhere new. The work happens inside your own cloud, on-prem or air-gapped deployment. When a cloud LLM is used, Veil redacts personal data first, and the whole engagement can run on local LLMs instead.
Any of them. The engineer works on top of Autonomous SOC, SecOps Platform and The Portal, and also deploys the standalone add-ons.
You keep what was built. Agent definitions, playbooks, connectors and normalization profiles stay in your platform as reviewable artifacts, and by then your team has been trained to change them.
Because an autonomous SOC product sold alone is a demo, not an operation: generic AI triaging generic alerts. The engineer is how the platform learns your crown jewels, your approval matrix and your alert corpus.
Have any other questions? Talk to our team
Available for Autonomous SOC and SecOps Platform customers, and MSSP/MDR partners on The Portal.