attestd vs CollieAi: Which is Better in 2026?
A comprehensive comparison of attestd and CollieAi covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose attestd if:
- →You want more affordable paid plans (from $19.99/mo)
- →You need risk_state: nvd-derived vulnerability classification (none → critical) or supply_chain.compromised: malicious-publish flag independent of cve history
Choose CollieAi if:
- →You need one-line adoption: point base_url at collieai, keep your existing client or three-layer pipeline — patterns, ml classifiers, generative intent reasoning
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attestd vs CollieAi: At a Glance
Pricing Comparison: attestd vs CollieAi
Understanding the pricing differences between attestd and CollieAi is crucial for making the right choice. Here's how their plans compare side by side.
💡 Pricing takeaway: Both attestd and CollieAi offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from attestd and CollieAi stacks up.
What Makes Each Tool Unique
🔵 Unique to attestd
Features available in attestd but not in CollieAi:
- ✓risk_state: NVD-derived vulnerability classification (none → critical)
- ✓supply_chain.compromised: malicious-publish flag independent of CVE history
- ✓typosquat: package-name integrity including AI-hallucinated package names
- ✓No code or repository access required
- ✓Python SDK and a documented curl quickstart
- ✓Free tier at 1,000 calls/month with the full response schema
🟣 Unique to CollieAi
Features available in CollieAi but not in attestd:
- ✓One-line adoption: point base_url at CollieAi, keep your existing client
- ✓Three-layer pipeline — patterns, ML classifiers, generative intent reasoning
- ✓Filters input and output across nine rule types, Monitor or Enforce mode
- ✓Catches indirect injection via RAG documents and tool output
- ✓Secret-shape detection for API keys and JWTs, plus Unicode evasion
- ✓Dashboard, SIEM export and audit trail; cloud, self-host or on-premise
Use Case Recommendations
Best for: attestd
attestd is a software-risk API designed to be called by CI/CD pipelines and by AI coding agents, which is a narrower and more interesting brief than a general vulnerability scanner. One request against a package name and version returns three signals that the company insists are independent by design: risk_state, an NVD-derived vulnerability classification with values from none through critical; supply_chain.compromised, a malicious-publish flag that is deliberately not derived from CVE history, so a package can return no known vulnerabilities and still be flagged as compromised; and typosquat, a package-name integrity check that catches both classic typosquats and names an LLM invented that never existed. That third signal is the one built specifically for the agent era — a coding agent that hallucinates a dependency name will happily install whatever squatter registered it, and a scanner that only scores known-good packages misses the failure mode entirely. The design principle stated throughout is determinism: NVD, CISA KEV and OSV all publish machine-readable data, but none of them yield a single condition a pipeline can branch on without interpretation, so attestd does the normalisation and returns something a script can act on. No repository or code access is required, there is a Python SDK, and the free tier is genuinely usable for evaluation and personal automation.
Ideal use cases:
- •Teams or individuals who need risk_state: nvd-derived vulnerability classification (none → critical)
- •Teams or individuals who need supply_chain.compromised: malicious-publish flag independent of cve history
- •Teams or individuals who need typosquat: package-name integrity including ai-hallucinated package names
- •Teams or individuals who need no code or repository access required
- •Anyone focused on security workflows
- •Anyone focused on api workflows
Best for: CollieAi
CollieAi is a security proxy that sits in front of an LLM application and filters both the prompts going in and the responses coming out. Adoption is deliberately trivial: you change the base_url on your existing OpenAI-compatible or Anthropic-native client and keep every other line of code, so there is no SDK to adopt and no architectural change. Behind that one line it runs a three-layer detection pipeline — deterministic pattern matching, machine-learning classifiers, and a generative model that reasons about intent — across nine rule types. The threats it names are the practical ones: direct prompt injection and the indirect kind that arrives inside a RAG document or a tool result, jailbreak and safety-bypass attempts, PII and financial-data leakage, exposed secrets matched by shape (sk-, ghp-, AKIA, JWT), malicious or obfuscated URLs, base64-hidden payloads, Unicode evasion via homoglyphs and zero-width characters, and unsafe or off-policy model output. It runs in three shapes — drop-in proxy, real-time SSE streaming, and async jobs — and in either Monitor mode, which logs without blocking, or Enforce mode. Operationally it provides a real-time dashboard with logs, analytics and threshold alerts, SIEM export and a full audit trail. It can be run as cloud SaaS, self-hosted or on-premise, with an open-source core.
Ideal use cases:
- •Teams or individuals who need one-line adoption: point base_url at collieai, keep your existing client
- •Teams or individuals who need three-layer pipeline — patterns, ml classifiers, generative intent reasoning
- •Teams or individuals who need filters input and output across nine rule types, monitor or enforce mode
- •Teams or individuals who need catches indirect injection via rag documents and tool output
- •Anyone focused on llm-security workflows
- •Anyone focused on prompt-injection workflows
🔐 Other Security & Privacy Tools to Consider
attestd and CollieAi aren't the only options. Here are other popular tools in the same space:
Darktrace
AI cybersecurity with autonomous response
CrowdStrike Falcon
AI endpoint security and threat intelligence
Snyk
Developer security with AI vulnerability detection
GitGuardian
Automated secrets detection in code
Wiz
Cloud security with AI risk prioritization
ZeroDrift
Compliance firewall that validates, rewrites or blocks every AI output before it reaches anyone
Is one of these your tool?
This page ranks for "attestd vs CollieAi" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing for $19 one-time — no subscription, nothing to cancel — and get a Featured badge, top placement in your category, and a permanent dofollow backlink. Prefer it ongoing? Monthly is one click away on the next page.
Frequently Asked Questions
Is attestd better than CollieAi?
It depends on your needs. attestd offers 6 key features including risk_state: NVD-derived vulnerability classification (none → critical) and supply_chain.compromised: malicious-publish flag independent of CVE history, while CollieAi provides 6 features including One-line adoption: point base_url at CollieAi, keep your existing client and Three-layer pipeline — patterns, ML classifiers, generative intent reasoning. attestd uses a freemium model with a free tier, while CollieAi is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is attestd cheaper than CollieAi?
attestd is cheaper, starting at $19.99/month compared to CollieAi's $49/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use attestd and CollieAi together?
Yes, many users combine attestd and CollieAi in their workflow. attestd excels at risk_state: nvd-derived vulnerability classification (none → critical), while CollieAi shines with one-line adoption: point base_url at collieai, keep your existing client. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between attestd and CollieAi?
While both are security & privacy tools, attestd emphasizes risk_state: nvd-derived vulnerability classification (none → critical), whereas CollieAi is known for one-line adoption: point base_url at collieai, keep your existing client. The best choice depends on your specific workflow and feature priorities.
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