Blackout
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Emisar.dev
Blackout's ability to redact quickly โ even when managing large volumes โ makes it the best choice for complex redaction tasks involving sensitive information. Reduce review time, lower costs, and create workflows that increase accuracy.
Any Industry: Finance, Construction, Mining, Transport, Retail, Telecomms, Real Estate, Education, Insurance, Pharmaceuticals โ Any Task: Compliance, Litigation Review, HR Matters & Equitable Hiring, FOIA Requests, DSARs, Majeure Disputes, Anonymizing Reports
Any Sensitive Info: PII, PHI, PCI, Account IDs, Dates, Emails, โPhone #s, Addresses, Charts, Pivot Table Data, Embedded Objects, Notes/Comments
BENEFITS โข Cut time and costs out of reviews with automated redactions โข โRule-based redaction allows for versatile application of Blackout to any task requiring markup โข Create efficiencies that drive down human error by redacting words, phrases, and text patterns simultaneously โข Ensure privileged information is secure while retaining native documents
FEATURES โข Seamlessly integrates into Relativity 10+ โข Auto-redacts any sensitive information in imaged, native PDF, or native Excel file โข Redacts information not visible in the files, including file attachments, meta data, and document notes/comments โข Quality check with approval, reject and override options โข Mass import/export functions via .CSV file
Emisar is the last MCP server youโll need to install: a Zero-Trust gateway connecting Claude, Cursor, ChatGPT, and any AI agent to your infrastructure. One server handles production access, debugging, alerts, and internal operations, with new capabilities added as packs. Agents can inspect real production state, debug what they shipped, and help resolve incidents. Safe reads run automatically; policy allows, blocks, or routes risky actions for approval. No SSH keys, VPNs, remote shells, or standing shell access โ and every call is recorded.
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Emisar.dev's answer:
emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.
Emisar.dev's answer:
The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.
Emisar.dev's answer:
Emisar.dev's answer:
Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.
Emisar.dev's answer:
emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [
Emisar.dev's answer:
Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.
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