Software Alternatives, Accelerators & Startups

Deep Instinct VS Emisar.dev

Compare Deep Instinct VS Emisar.dev and see what are their differences

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Deep Instinct logo Deep Instinct

Deep Instinct is revolutionizing cyber security, offering advanced cyber security solutions that harness the power of deep learning analytics with unprecedented deep machine learning and AI prediction models.

Emisar.dev logo Emisar.dev

One governed MCP server connects any AI agent to a finite action catalog, enforced on-host with pack trust, policy gates, human approvals, and a hash-chained audit trail.
  • Deep Instinct Landing page
    Landing page //
    2023-05-13
  • Emisar.dev Approvals
    Approvals //
    2026-07-21
  • Emisar.dev Audit Log
    Audit Log //
    2026-07-21
  • Emisar.dev Policies
    Policies //
    2026-07-21
  • Emisar.dev Runner fleet
    Runner fleet //
    2026-07-21

Emisar is the last MCP server youโ€™ll 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.

Emisar.dev

Website
emisar.dev
$ Details
freemium $20.0 / Monthly (per runner)
Startup details
Country
United States
State
CA
Founder(s)
Andrew Dryga
Employees
1 - 9

Deep Instinct features and specs

  • Advanced Threat Prevention
    Deep Instinct uses deep learning to provide a high level of threat detection and prevention, often stopping threats before they reach the network.
  • Low False Positive Rate
    The platform is known for its low false positive rate, which reduces unnecessary alerts and helps organizations focus on real threats.
  • Real-time Protection
    Deep Instinct offers real-time protection against known and unknown threats, which is crucial for mitigating zero-day attacks.
  • Comprehensive Security
    The solution provides security across different platforms and devices, offering endpoint, network, and mobile protection.

Possible disadvantages of Deep Instinct

  • High Resource Usage
    The deep learning algorithms used can demand significant computational resources, which might be challenging for some organizations to handle.
  • Complex Deployment
    Implementing and integrating Deep Instinct into an existing security infrastructure can be complex and requires expert knowledge.
  • Cost
    Due to the advanced technology and comprehensive features, Deep Instinct can be more expensive than other security solutions, potentially limiting its adoption by smaller businesses.
  • Limited Track Record
    As a relatively new player in the cybersecurity space, Deep Instinct may not have the extensive track record and trust of more established vendors.

Emisar.dev features and specs

No features have been listed yet.

Deep Instinct videos

Guy Caspi - CEO of Deep Instinct (Full Interview)

More videos:

  • Review - Deep Instinct: Cybersecurity Through Deep Learning

Emisar.dev videos

No Emisar.dev videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Deep Instinct and Emisar.dev)
Security & Privacy
100 100%
0% 0
AI Tools
0 0%
100% 100
Monitoring Tools
100 100%
0% 0
Infrastructure Monitoring

Questions & Answers

As answered by people managing Deep Instinct and Emisar.dev.

How would you describe the primary audience of your product?

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.

Which are the primary technologies used for building your product?

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.

Who are some of the biggest customers of your product?

Emisar.dev's answer:

  • Blitz.gg - game analytics for billions of matches and a pretty large infrastructure.

What's the story behind your product?

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.

What makes your product unique?

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. [

Why should a person choose your product over its competitors?

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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