Strike48
Strike48 provides an agentic log intelligence platform that gives AI agents complete visibility across an organization's entire security and IT stack by querying logs where they live rather than requiring data duplication. The platform combines pre-built micro agents for SOC operations with Prospector Studio, a no-code builder for custom workflows, and uses GraphRAG knowledge graphs to minimize hallucinations. In one month, a customer reported over 75% of security cases closed by AI alone, saving roughly 670 hours of analyst time.
- Cybersecurity
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations face fragmented log infrastructures and cost-driven visibility gaps that obscure large portions of their environments, limiting the reach and effectiveness of AI agents in security and IT operations. Legacy SIEMs and observability platforms with bolt-on AI cannot reason over complete, high-fidelity data, leaving teams with overwhelming alert backlogs, escalating costs, and failed automation attempts.
Solution
Strike48 provides an agentic log intelligence platform that makes 100% log visibility economically and operationally viable by decoupling storage from upfront parsing and schema decisions. The platform unifies all log data regardless of where it lives into a single operational fabric, allowing AI agents to reason over complete data. Pre-built micro agents, each purpose-built for specific tasks, work together to investigate, correlate, hand off to each other, and respond autonomously. Prospector Studio, a no-code agent builder, lets security and IT teams build, test, and manage custom agents without dedicated AI engineering resources. The platform combines deterministic steps where consistency matters with cognitive steps where reasoning is required, delivering agents that are both reliable and intelligent.
Target Audience
Primary customers are security operations centers, IT operations teams, and compliance functions at Fortune 500 enterprises and other large organizations that need to automate log analysis, threat detection, and incident response at scale.
Features
- Flexible data foundation that queries logs where they live or ingests them, eliminating redundant log stores and the cost-coverage tradeoff
- Pre-built agent packages modeled after a modern SOC, including phishing detection, fraud detection, SOC Level 1 and Level 2 triage, evidence collection, and incident response agents
- Prospector Studio no-code agent builder for creating custom workflows across threat hunting, incident response, compliance automation, and fraud detection
- GraphRAG-based person and knowledge graphs that define agent reasoning to minimize hallucinations
- Model Context Protocol for fine-grained tool exposure, ensuring agents only act with approved capabilities
- Agent2Agent coordination where coordinator agents split complex tasks and route results between specialist agents
- Runtime hardening with gVisor kernel isolation and optional WebAssembly sandboxes for multi-tenant isolation
- Human-in-the-loop oversight with configurable approvals, GitOps change history, and full verifiable audit trails
- Prompt-based, scheduled, and external event triggers enabling always-on, real-time automated operations
- Single pane of glass across cloud, on-prem, SaaS, and data lake environments