Shraga is an AI‑powered SOC platform that lets security teams investigate, hunt, and respond using natural language — connecting your entire security stack through a single intelligent agent.
Shraga sits between your collaboration tools and security platforms, using the Model Context Protocol (MCP) to orchestrate investigations in real time.
Shraga's AI agent understands your question, routes it to the right security tools via MCP, and returns actionable findings — all in a single conversation.
Type a natural language query in the chat — like "Show me all failed logins from suspicious IPs in the last 24 hours" — from the browser, Slack, or Teams.
Shraga's AI agent reasons about the request, selects the right MCP tools (Okta auth logs, CrowdStrike detections, etc.), and executes queries in parallel.
Results stream back in real time with severity ratings, MITRE ATT&CK tags, and one-click response actions — revoke sessions, isolate hosts, create tickets.
Conversational AI powered by Claude that automatically queries CrowdStrike, Okta, and your connected tools. Streaming responses with tool call visibility and chain-of-thought reasoning.
Three-panel SOC dashboard with shift summaries, ticket SLA tracking, a cross-platform activity feed, and live team status — plus one-click response actions.
Build hypotheses with confidence scores and MITRE ATT&CK tags, track investigation timelines with approval gates, and review evidence with PII redaction.
Drag-and-drop automation canvas with pre-built Okta, CrowdStrike, Wiz, ServiceNow and Slack operations — including human approval gates for sensitive actions.
Rich-text editor with embeddable live queries and result tables. Auto-generate structured reports directly from AI chat sessions and share across your team.
SOC-focused channels with an AI agent that joins discussions, analyzes traffic, and investigates threats collaboratively. Mention Shraga in Slack for instant investigations.
Ask Shraga anything — from "show me suspicious logins" to "isolate this compromised host." The AI agent handles the tool calls, correlates findings, and suggests next steps.
Multi-tenant authentication with MSAL, policy-based authorization, and tenant-level isolation.
Every chat, tool call, and action is logged to Azure Blob Storage with correlation IDs and actor tracking.
Team workspaces with isolated MCP server configurations and scoped credentials per environment.
Deploy and manage MCP servers on Azure Container Instances directly from the Settings page.
Get early access to Shraga and see how AI-driven security operations can transform your team's workflow.
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