AI tool comparison
Miasma vs QSAG-Core
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Security
Miasma
Trap AI web crawlers in an endless poison pit
100%
Panel ship
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Community
Free
Entry
Miasma is an open-source tool that creates honeypot pages designed to trap AI web scrapers in infinite loops of generated nonsense content. It poisons training data by serving plausible-looking but entirely fabricated text, wasting crawler resources and degrading the quality of scraped datasets.
Security
QSAG-Core
Open-source security scanner purpose-built for AI agent systems and MCP deployments
75%
Panel ship
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Community
Paid
Entry
QSAG-Core is a Python security scanner specifically designed for the OWASP Top 10 for Agentic Applications 2026 threat model. It provides three core detection capabilities: MCP tool poisoning (26 malicious patterns across 7 categories), prompt injection (28+ attack patterns including goal hijacking, jailbreak attempts, and memory poisoning), and ghost agent detection for unauthorized API key usage. It runs as pure pattern matching — no ML, no cloud dependency — and can be integrated as a pre-execution guard in any Python-based agent pipeline. Released April 10, 2026 by the Neoxyber team, QSAG-Core fills a real operational gap as MCP-based agent deployments proliferate. While Microsoft's Agent Governance Toolkit addresses similar territory, it's heavyweight and enterprise-focused. QSAG-Core is a pip install and a few lines of code — the security-focused indie alternative that fits into a CI/CD pipeline or an existing agent framework without an enterprise contract. The threat model it addresses is timely. As MCP becomes the de facto standard for tool-calling in AI agents, malicious MCP servers and prompt injection via tool outputs are becoming documented attack vectors. Having a lightweight, open-source scanner that specifically targets these patterns is exactly what the community has been building toward. MIT licensed, 24 commits in its first day.
Reviewer scorecard
“Dead simple to deploy — drop it on any server and point suspicious crawlers at it. The infinite page generation is clever engineering. My only gripe is it needs better bot fingerprinting out of the box, but the plugin system lets you extend it.”
“I've been manually reviewing MCP tool schemas before deploying them — QSAG-Core automates that. 26 MCP poisoning patterns and 28 prompt injection patterns in a single pip install is a no-brainer to add to any agent pipeline's security layer.”
“Look, the AI scraping arms race is real and site owners need tools to fight back. Miasma is not going to stop OpenAI, but it will waste their compute and pollute their pipelines. That is genuinely useful leverage. Just do not expect it to be a silver bullet.”
“Pattern matching is a starting point, not a solution. Sophisticated prompt injection and MCP poisoning attacks are designed specifically to evade signature-based detection. QSAG-Core will catch known-bad patterns, but a determined attacker will trivially bypass it. This is necessary but not sufficient security.”
“This is the digital equivalent of booby-trapping your property. As AI companies hoover up the entire web without consent, tools like Miasma shift the power dynamic back toward content creators. Expect to see this pattern everywhere within a year.”
“Every major software ecosystem eventually got linters, scanners, and static analysis tools. QSAG-Core is the beginning of that toolchain for AI agents. The OWASP Agentic AI threat model it implements will become the industry baseline. Early adopters of agent-specific security tooling will be ahead of the curve when regulations arrive.”
“Non-technical teams building AI-powered tools with MCP have no idea what tool poisoning even is. QSAG-Core gives developers a way to add a meaningful security layer that they can explain to stakeholders without a security engineering background.”
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