A secure, multi-tenant platform that lets you build, run, and govern high‑fidelity agents over your logs—across security, ops, and more.
Every organization's data landscape is unique. Strike48 lets teams deploy agents specialized in their operational context—each pre-configured to accelerate analysis and decision-making across the security lifecycle.
Guides you through building custom AI agents for your security operations, from simple task automation to complex multi-agent workflows.
Performs initial alert triage and investigation, determining whether alerts represent real threats or false positives before escalation.
Analyzes transaction patterns and user behavior to identify anomalies indicative of fraud, flagging suspicious activity for investigation before financial impact occurs.
Triages IT incidents, routes tickets to appropriate teams, and automates initial troubleshooting steps to reduce mean time to resolution.
Agents shown above are a mix of pre-built agents and ideas for Strike48 users to build their own.
Fragmented & Expensive
Unified & Efficient
![[interface] screenshot of data analytics dashboard (for an ai saas company)](https://cdn.prod.website-files.com/69600380b333d9899a713351/698265dd70ca73d1adfc7413_comp-02.png)
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).
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Pick the isolation and control level you need—without changing your agent experience.
Point agents at your existing stores—or collect centrally when it helps. Either way, Prospector Studio works.
Persona + knowledge graphs define what the agent knows and how it reasons—minimizing hallucinations.
Fine‑grained tool exposure ensures agents only act with approved capabilities.
Coordinator agents split complex tasks and route results between specialist agents.
Deterministic, auditable sequencing for SOC triage, approvals, and hand‑offs.
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.
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.
Per‑tenant namespaces with quotas, RBAC, separate secrets, and Cilium network policies.
gVisor kernel isolation and optional WebAssembly sandboxes for fine‑grained capability control.
Layer‑4/7 egress controls, GitOps change history, identity‑scoped secret access, and full audit trails.
Agents respond to specific prompts for targeted operations.
Automated tasks run on predefined schedules.
Agents react to alerts, new vulnerabilities, or webhooks for real-time operations.
Agents run on prompts, schedules, or external events (alerts, new vulns, webhooks), enabling true real‑time operations.
Bring your logs from where they live. Use Bedrock LLMs, external DNS, and your existing SIEM/observability tools.
Start with a pre‑built security agent team, or compose your own use cases with the no‑code builder.
