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Trent AI VS CodeinCloud

Compare Trent AI VS CodeinCloud and see what are their differences

Trent AI

The AI-native security platform for AI agents and LLM applications that works like an AI security engineer, threat modeling, security assessment, and remediation guidance built for agentic systems.

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0 reviews
Pricing
Freemium
Alternatives Is it good?
CodeinCloud

CodeinCloud is the comprehensive IDE on the cloud by which you can connect your Live Servers through SSH Connection and your hosting directories with FTP access and Enjoy the Live Developments with beautifully designed code :)

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0 reviews
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AnswerProbe
Evidence-preserving AI visibility monitoring for small B2B SaaS teams. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

Trent AI
CodeinCloud
Website trent.ai codeincloud.net
Pricing
Freemium Official pricing
Official pricing
Company Startup from the United Kingdom · 10 - 19 employees · 2026 —
Listed in
AI Security Web Application Security Cyber Security SAST Code Analysis AI Developer Tools AI +4
—

About Trent AI and CodeinCloud

In their own words, as submitted to SaaSHub.

Trent AI
CodeinCloud

Trent AI is an agentic AI security platform that threat-models and assesses AI agents and LLM applications. It analyzes your codebase and architecture, produces a prioritized threat model with vulnerabilities and remediation controls, and delivers fix guidance directly into developer workflows....

Read more about Trent AI

No description of CodeinCloud yet.

Features and specs

What each product offers, as listed by its team.

Trent AI 4 features
CodeinCloud 5 features
  • End-to-End Context
    Reads your code, docs, and security reports, any language, any stack, into one continuously updated context layer.
  • Judgment Layer
    Reasons over that context and the tools you already run to triage and prioritize the threats and vulnerabilities that actually matter.
  • Remediation Loop
    Generates a remediation recommendation, or a ready-to-run prompt for your coding assistant, and hands it to the development environment of your choice.
  • Verification & Improvement
    Confirms the fix landed with a full audit trail, then feeds every cycle back so Trent keeps learning and the context stays current.
  • Cloud-based development
    CodeinCloud offers a cloud-based coding environment, allowing developers to write, run, and manage code from anywhere without needing to set up a local development environment.
  • Accessibility
    Being web-based, the platform can be accessed from various devices and locations, making it convenient for remote work and collaboration across teams.
  • No local setup required
    Users can start coding quickly without installing IDEs, compilers, or dependencies on their own machines, which lowers the barrier to entry for beginners.
  • Potential for collaboration
    Cloud platforms often support real-time collaboration features, enabling multiple developers to work together on the same codebase efficiently.
  • Scalability
    Cloud infrastructure can typically scale resources up or down based on project needs, which is helpful for handling varying workloads.

Possible disadvantages

  • Internet dependency
    As a cloud-based service, it requires a stable internet connection to function, which can be a limitation in areas with poor connectivity or during outages.
  • Limited information available
    There is relatively little publicly available detail about the platform's specific features, pricing, and reliability, making it harder to evaluate thoroughly.
  • Data privacy concerns
    Storing code and projects on a third-party cloud raises potential security and privacy considerations, especially for sensitive or proprietary projects.
  • Potential performance limitations
    Cloud-based environments may experience latency or performance constraints compared to a powerful local development setup, depending on the service tier.
  • Vendor lock-in
    Relying on a specific cloud platform may make it difficult to migrate projects elsewhere, creating dependency on the provider's continued operation and pricing.

Analysis

An editorial look at what each product does well and who it suits.

Trent AI
CodeinCloud

No analysis of Trent AI yet.

Overall verdict

  • I don't have verified, up-to-date information about CodeinCloud (codeincloud.net) to confidently assess its quality, reliability, or reputation. I cannot find reliable details about its features, pricing, user reviews, or business legitimacy in my training data, and I'm unable to browse the internet to check current information.

Why this product is good

  • Insufficient verified information available about this specific service to make reliability claims
  • No confirmed data on user reviews, uptime, customer support quality, or pricing structure
  • Cannot verify company legitimacy, ownership, or how long it has been operating
  • Unable to confirm security practices, data handling policies, or compliance certifications

Recommended for

  • Not able to provide a recommendation without additional verified information
  • Suggest checking independent review sites like Trustpilot, G2, or Reddit for user experiences
  • Consider verifying through domain registration lookups (e.g., WHOIS) for company transparency
  • Look for verifiable customer testimonials, uptime guarantees, and clear refund/support policies before committing
  • If considering this service, test with a small trial or free tier first if available before committing to a paid plan

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Trent AI
CodeinCloud
100% 100%
Web Application Security
0% 0%
100% 100%
Cyber Security
0% 0%
100% 100%
Code Analysis
0% 0%
100% 100%
SAST
0% 0%

Questions & Answers

As answered by people managing Trent AI and CodeinCloud.

Which are the primary technologies used for building your product?

Trent AI's answer

Trent is a multi-agent system: multiple specialized AI agents built on frontier language models, each owning one stage of the loop (threat scanning, analysis, remediation, and security posture). It connects to development environments over the Model Context Protocol (MCP), with integrations for Claude Code and Lovable, and ships a security assessment skill (trentclaw) for the OpenClaw agent runtime. Its analysis is grounded in OWASP (LLM Top 10 and the Agentic Security Initiative Top 10), MITRE ATLAS, and the NIST AI Risk Management Framework, and its detection quality is benchmarked against CWE-Bench.

What makes your product unique?

Trent AI's answer

Trent is built for agentic systems, not adapted to them. It runs as a continuous loop of multiple specialized agents: scan your code and agent definitions, judge which findings are genuinely exploitable, open fixes, and verify the fix held. It inventories every agent, tool, skill, and MCP server by what it can actually do (read, write, execute, egress), traces how they could be chained into an attack, and re-assesses whenever the system changes, because agentic systems change without a release. Each cycle compounds context about your environment, so its judgment improves over time. A person always approves changes before anything is applied.

Why should a person choose your product over its competitors?

Trent AI's answer

Traditional scanners look for static defects in an artifact that holds still, and agentic systems do not hold still. A new tool, a changed prompt, or an upgraded model changes behavior with no commit to review. Trent treats the agent's runtime decisions as the risk variable, judges exploitability in your system's real wiring instead of inheriting generic severity scores, and re-verifies continuously. It complements the scanners you already run rather than replacing them: keep them for known CVEs and code patterns, and use Trent for the agentic attack surface they cannot see.

What's the story behind your product?

Trent AI's answer

Trent AI was founded in 2025 in the UK by Neil Lawrence (DeepMind Professor of Machine Learning at Cambridge, former Director of Machine Learning at Amazon), Eno Thereska (20+ years building autonomous systems, Principal Engineer at AWS, early Confluent engineer), and Zhenwen Dai (15+ years in machine learning, led research at Spotify). The founding observation: AI agents now write and ship software faster than any security team can review it, and the existing security stack was built for software that holds still. Trent is the answer to that gap, an AI security engineer that is always there. The company raised $13M and is a winner of the Cybersecurity Stars Awards 2026 (The Hacker News).

How would you describe the primary audience of your product?

Trent AI's answer

Two groups. First, security teams at companies building or deploying AI agents: mature in traditional security, new to agentic security, and outnumbered by roughly 80 developers for every security engineer before coding agents joined the developers. Second, AI-native startups shipping fast with AI coding tools such as Claude Code, Codex, Cursor and Lovable, who know their security posture is weak and want guardrails that do not slow them down.

Who are some of the biggest customers of your product?

Trent AI's answer

  • Trent AI is in early access and does not publish customer names yet.
  • Current users are enterprise security teams and AI-native startups in the early access program. Public case studies will follow.

User comments

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