Get the latest AI/ML supply-chain indicators-of-compromise from the TensorFeed defender feed. Daily-refreshed list of GitHub Security Advisory entries filtered by AI/ML/LLM/MCP keyword vocabulary across npm, PyPI, Go, Maven, and other ecosystems. Each entry includes the package name, ecosystem, G...
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AI agents call get_ai_supply_chain_iocs to retrieve information from TensorFeed without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though get_ai_supply_chain_iocs only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"get_ai_supply_chain_iocs": {}
}
}See the full TensorFeed policy for all 79 tools.
These attack patterns abuse exactly the kind of access get_ai_supply_chain_iocs gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Get the latest AI/ML supply-chain indicators-of-compromise from the TensorFeed defender feed. Daily-refreshed list of GitHub Security Advisory entries filtered by AI/ML/LLM/MCP keyword vocabulary across npm, PyPI, Go, Maven, and other ecosystems. Each entry includes the package name, ecosystem, GHSA advisory ID, severity, summary, vulnerable version range, publication date, and a link to the authoritative GHSA record. Pure data feed: TensorFeed re-publishes already-public advisories, does not detect malware, and does not attribute it. Always treat the linked GHSA record as authoritative. Useful for AI-tool maintainers, MCP-server reviewers, and supply-chain monitors that want a single feed of AI-relevant advisories rather than parsing all of GHSA.. It is categorised as a Read tool in the TensorFeed MCP Server, which means it retrieves data without modifying state.
Register the TensorFeed MCP server in PolicyLayer and add a rule for get_ai_supply_chain_iocs: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches TensorFeed. Nothing to install.
get_ai_supply_chain_iocs is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_ai_supply_chain_iocs rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_ai_supply_chain_iocs. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_ai_supply_chain_iocs is provided by the TensorFeed MCP server (https://mcp.tensorfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 79 TensorFeed tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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