Run IT ops with AI agents that transform your infrastructure data into intelligent action—resolving incidents faster, preventing outages, and keeping systems running.
Our agentic platform automates IT operations—from monitoring and remediation to capacity planning and compliance. Customize and deploy pre-built agents or create your own tailored to your unique use cases.
Handles common IT support requests through automated troubleshooting, password resets, and access provisioning to reduce ticket backlog.
Identifies bottlenecks and inefficiencies in applications and infrastructure, recommending configuration changes to improve system performance.
Monitors cloud spending patterns, identifies unused resources, and recommends rightsizing opportunities to reduce infrastructure costs.
Triages IT incidents, routes tickets to appropriate teams, and automates initial troubleshooting steps to reduce mean time to resolution.
Continuously monitors servers, networks, and cloud resources to detect performance degradation, outages, and capacity issues before they impact users.
Speed, accuracy, insight—traditional IT ops has forced you to choose between moving quickly and making confident decisions. Strike48 AI agents ingest 100% of your infrastructure logs, learning patterns and relationships across your entire stack. The result is autonomous incident management that catches issues before they become outages.
Strike48 creates a real-time understanding of your infrastructure—from cloud to on-prem, network to application—without the data silos. AI agents correlate events across every system, identify root causes in seconds, and recommend (or execute) the right remediation steps.
Strike48 goes further than dashboards and static reports. AI-native architecture means you can ask questions in plain language: "Why did latency spike in the payment service last night?" or "Which servers are most likely to fail this week?" Strike48 delivers answers in seconds, with full context and recommended actions.
Operations data shouldn't stay buried in tickets and logs. Strike48 AI agents automatically compile incident patterns, infrastructure health trends, and capacity insights into board-ready reports. Give leadership the visibility they need while your team focuses on keeping systems running.
Strike48's no-code agent builder lets IT leaders design, test, and deploy custom monitoring and automation workflows in minutes—not months. Define your operational logic, connect to any data source, and let AI agents handle the heavy lifting.
Strike48 isn't AI bolted onto a legacy platform. It's a ground-up agentic architecture built on 15 years of Devo's petabyte-scale log analytics. Fortune 500s trust the foundation. Your data stays completely isolated—no cross-customer training, no shared models, any log-focused use case across security, ops, and more.
Strike48 is an agentic log intelligence platform where AI agents, workflows, and humans collaborate.
Personas
Custom AI assistants configured with specific tools, knowledge, and workflows. Build specialized agents for alert triage, threat hunting, case management, or any security task.
Knowledge Bases
Upload your documentation, policies, and procedures. Agents access this grounded knowledge via RAG to deliver accurate, context-aware responses backed by your actual data.
Workflows
Visual orchestration combining deterministic logic with AI reasoning. Design multi-step automation that coordinates agents, integrates tools, and handles complex logic—no coding required.
Cases
Centralized incident management where agents and analysts collaborate. Link alerts, create tasks, execute playbooks, and maintain full audit trails in a single view.
Dashboards
Real-time visualizations of your security data. Build custom charts, tables, and maps for SOC monitoring, executive reporting, and operational visibility.
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Custom AI assistants configured with specific tools, knowledge, and workflows. Build specialized agents for alert triage, threat hunting, case management, or any security task.
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Upload your documentation, policies, and procedures. Agents access this grounded knowledge via RAG to deliver accurate, context-aware responses backed by your actual data.
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Visual orchestration combining deterministic logic with AI reasoning. Design multi-step automation that coordinates agents, integrates tools, and handles complex logic—no coding required.
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Centralized incident management where agents and analysts collaborate. Link alerts, create tasks, execute playbooks, and maintain full audit trails in a single view.
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Real-time visualizations of your security data. Build custom charts, tables, and maps for SOC monitoring, executive reporting, and operational visibility.
The Strike48 agentic operations layer explained
Ask a typical agent something it can't answer and it will enthusiastically lie to you. In IT, that's the kiss of death. Our solution: don't ask agents to do too much. We combine micro-agents—designed for small, bounded questions and aware of what they don't know—with deterministic workflows to deliver large-scale solutions. GraphRAG grounds every decision in your actual log data, and human-in-the-loop approval gates high-impact actions. The result is consistency and reliability at IT scale.
Strike48's parse-at-query architecture ingests raw log data in its native state, applying structure only when queried, and can access other logs wherever they exist. This eliminates the cost penalty of traditional 'parse-on-ingest' approaches, making complete log coverage economically viable.
Prospector Studio is the low-code development environment where your team builds, tests, and manages AI agents without needing a dedicated AI team. You can transform manual SOC workflows into agentic operations by 'teaching' agents your specific runbooks using natural language and logic workflows. Start with our vetted pre-built agents for Triage and Investigation, then customize agents for your specific environment, detection logic, and response procedures.
No. Your data remains isolated within your tenant. Strike48 utilizes pre-trained models and only performs in-context learning or RAG—your proprietary logs and intellectual property never leave your secure environment and are never used to train public models.
Purpose-built agents for security, IT, and compliance handle real tasks—so you can focus on what matters most.