Agentic Log Intelligence

Strike48 Technology

A secure, multi-tenant platform that lets you build, run, and govern high‑fidelity agents over your logs—across SOC, observability, DevOps, and compliance.

No‑code Agent BuilderSearch‑in‑Place & CollectiongVisor/WASM IsolationGitOps‑managed on AWSReal‑time Alerts & TriggersAudit‑ready by design

Architecture at a glance

Cloud‑native, multi‑account AWS design with immutable Talos Linux nodes, Cilium eBPF networking, Cloudflare edge security, and Prospector Studio at the core. Deployed as Shared SaaS, Isolated Compute, or fully On‑Prem (including air‑gapped).

High‑level data & request flow

Cloudflare EdgeWAF · DDoS · TLSAWS NLB → HTTP GatewayIngress & routingProspector StudioAgent Builder · Workflow EnginegVisor/WASM‑isolated runtimeData LayerPostgreSQL · RAG storesExternal ServicesAWS Bedrock · DNS · SIEMs3rd‑party Log SourcesS3 · Splunk · Elastic · …

Multi‑account AWS

Management (control plane) and secondary (workload) accounts with Cluster API, GitOps, Talos Linux nodes, and External Secrets for clean isolation and auditability.

Edge security

Cloudflare WAF/DDoS/TLS with rate‑limiting and global CDN before any traffic reaches our infrastructure.

Network & runtime isolation

Cilium network policies + gVisor kernel isolation + optional WASM sandboxes for defense in depth.

Data layer & LLMs

PostgreSQL with RAG stores; native integration with AWS Bedrock for managed LLM access.

Flexible deployment

Pick the isolation and control level you need—without changing your agent experience.

Shared SaaS

  • K8s namespace isolation
  • gVisor/WASM runtime
  • Shared data layer (tenant‑scoped)
  • Best for rapid start & cost
$ · minutes to go‑live

Isolated Compute

  • Dedicated VPC & cluster
  • Per‑tenant data plane
  • Managed by Strike48
  • Best for strong compliance
$$$ · minutes to go‑live

On‑Prem / Air‑gapped

  • Customer‑owned infra
  • Offline or hybrid updates
  • Custom compliance frameworks
  • Best for sovereignty & defense
$$$$ · weeks to go‑live

Purpose-Built Agents for Every Security Function

Every organization's data landscape is unique. Prospector Studio lets teams deploy agents specialized in their exact operational context—each pre-configured to accelerate analysis and decision-making across the security lifecycle.

Agent Type
Function
Outcome
Threat Intelligence Analyst
Investigates incidents, correlates patterns, and validates false positives.
Faster investigations, reduced alert fatigue.
SIEM Performance Optimizer
Tunes queries, identifies coverage gaps, and improves data models.
Improved visibility and efficiency.
Compliance & Audit Assistant
Standardizes reporting and automates evidence gathering.
Reduced manual workload, consistent audit readiness.

Data access without friction

Point agents at your existing stores—or collect centrally when it helps. Either way, Prospector Studio works.

Search‑in‑place connectors

Directly read S3, Splunk, Elastic, and more—fastest path to value with zero migration.

Smart collection

Centralize when you need speed or normalization. Our AI‑assisted collectors cover ~80% of systems in under a day.

Parsing—rethought for agents

Agents use existing parsed fields when present; otherwise they choose a parser—or read semi‑structured logs directly. Auto‑generated parsers keep pace with new sources.

Connector & parsing decision flow

  1. Agent receives task and selects data source
  2. If store is remote → use connector (no move)
  3. If central store preferred → collect & index
  4. If parsed fields exist → use directly
  5. If not → locate or auto‑generate parser
  6. Fallback → semantic read of raw records
Works the same across security, observability, DevOps, and compliance use cases.

Agentic layer

Build narrowly scoped, high‑fidelity agents with clear personas, curated knowledge (GraphRAG), explicit tools (MCP), and collaborative execution (Agent2Agent). Sequence work deterministically via our Workflow Orchestrator.

GraphRAG

Persona + knowledge graphs define what the agent knows and how it reasons—minimizing hallucinations.

Model Context Protocol

Fine‑grained tool exposure ensures agents only act with approved capabilities.

Agent2Agent

Coordinator agents split complex tasks and route results between specialist agents.

Workflow Orchestration

Deterministic, auditable sequencing for SOC triage, approvals, and hand‑offs.

Build Specialized AI Agents Tailored to Your Environment

Prospector Studio empowers your security and operations teams to create AI-driven agents that function like purpose-built teammates trained to follow your processes, adapt to your workflows, and accelerate outcomes. Whether optimizing SIEM performance, automating compliance, or triaging threats, each agent is designed to enhance expertise, not replace it.

5-step agent building process: Define, Instruct, Integrate, Format, Refine

Multi‑tenant isolation

Per‑tenant namespaces with quotas, RBAC, separate secrets, and Cilium network policies.

Runtime hardening

gVisor kernel isolation and optional WebAssembly sandboxes for fine‑grained capability control.

Policy & audit

Layer‑4/7 egress controls, GitOps change history, identity‑scoped secret access, and full audit trails.

Always‑on automation

Agents run on prompts, schedules, or external events (alerts, new vulns, webhooks), enabling true real‑time operations.

Prompt-based triggers

Agents respond to specific prompts for targeted operations.

Scheduled triggers

Automated tasks run on predefined schedules.

External event triggers

Agents react to alerts, new vulnerabilities, or webhooks for real-time operations.

Connect to your stack

Bring your logs from where they live. Use Bedrock LLMs, external DNS, and your existing SIEM/observability tools.

AWS Bedrock logo
Splunk logo
Elastic logo
S3 logo
Cloudflare DNS logo
ServiceNow logo
PagerDuty logo
GitHub logo

See Prospector Studio in action

Start with a pre‑built SOC or Compliance pack, then compose your own use cases with the no‑code builder. Deploy in SaaS, your VPC, or on‑prem.