BlinkOps vs RunbookAI

BlinkOps is a web and API agentic security operations platform for automating triage, remediation, and related workflows. It ingests alerts from SIEM, EDR, cloud, identity, and email tools, investigates them, and returns cases with evidence, severity assessments, and recommended actions. Coverage includes SOC, cloud security, identity and access management, GRC, vulnerability management, email and phishing, endpoint, incident response, and ITSM. BlinkOps advertises more than 500 pre-built agent templates and more than 30,000 integrations, including AWS, Azure, Google Cloud, Splunk, CrowdStrike, ServiceNow, and Microsoft Sentinel. Native integrations provide no-code workflow actions, while a Blink REST API is documented. Customers define agent scope and guardrails and choose which actions run autonomously or require approval; the maker says every step is logged with reasoning and evidence. A self-hosted option is listed. BlinkOps says prompts and responses sent to its model infrastructure are not retained, customer data is not used to train models, and workspace traffic to AI services uses TLS 1.3. It states that SOC 2 Type II covers Security, Availability, and Confidentiality, and lists GDPR and ISO/IEC 27001. Pricing is usage-based and on request.

RunbookAI is a self-hosted, MIT-licensed incident-response tool for investigating production problems. Its workflow collects incident context, ranks hypotheses, checks them against infrastructure, identifies a root cause, and recommends remediation. Users can ask natural-language questions across AWS, Kubernetes, and CloudWatch, then execute step-by-step runbooks. Queries are read-only by default; every mutating action needs explicit human approval. Investigations record hypotheses, evidence, proposed actions, approval decisions, and execution results in a local audit trail. RunbookAI indexes knowledge from local files, Confluence, and Google Drive. Documented integrations include AWS, Kubernetes, PagerDuty, OpsGenie, Slack, and Claude Code. A self-hosted shared knowledge server exposes runbooks, postmortems, and known issues through REST and an MCP endpoint for Claude Code. CLI mode is available, with no hosted service or control plane. The maker says it runs inside your infrastructure, sends no telemetry, and sends model requests directly to the configured provider without proxying or storing prompts. Requirements include Bun 1.0+ or Node.js 20+ and an Anthropic API key for Claude.