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09/07/2026 12:35 pm
TL;DR: AI coding assistants can silently ingest .env secrets, API keys, and tokens, then expose them through routine actions or MCP-enabled pathways, according to Knostic’s analysis and examples from customer and public incidents. The operational issue is not just code quality, but uncontrolled secret handling inside probabilistic tools that cannot reliably enforce policy boundaries.
NHIMG editorial — based on content published by Knostic: AI coding assistants and the secret leakage problem
By the numbers:
- Only 44% of organisations are currently using a dedicated secrets management system.
Questions worth separating out
Q: What breaks when AI coding assistants can read .env secrets by default?
A: Default .env access breaks the assumption that secrets stay outside tool context until a human deliberately uses them.
Q: Why do coding assistants increase secret exposure risk in development workflows?
A: Coding assistants increase secret exposure risk because they operate inside environments where credentials already exist and can be combined with file, shell, and network capabilities.
Q: How do security teams know whether assistant secret controls are working?
A: They know controls are working when assistants cannot read secret-bearing files, cannot upload hidden credentials, and cannot move sensitive data through connected tools without an explicit policy decision.
Practitioner guidance
- Remove secrets from project-local files Move credentials, tokens, and proxy values out of .env files in active project directories and into vault-backed sources that are not automatically ingested by coding assistants.
- Deny assistant access to secret-bearing paths Use explicit deny rules for .env patterns, mounted secret locations, and other sensitive files so the assistant cannot read them during routine operations.
- Constrain MCP and extension permissions Review which tools, servers, and extensions can receive data from coding assistants, and remove any path that can transmit credentials outside the intended boundary.
What's in the full article
Knostic's full analysis covers the operational detail this post intentionally leaves for the source:
- The specific Claude Code behaviour around .env, .env.local, and related file loading patterns.
- The customer and internal incidents that show how assistants can sweep up and expose hidden API keys.
- The public MCP-related cases that illustrate how secret access can turn into external transmission.
- The practical mitigation examples for .claudeignore, settings rules, containers, and safer secret storage.
👉 Read Knostic's analysis of Claude Code, MCP, and secret exposure risks →
Claude Code and .env secrets: what should IAM and security teams do?
Explore further
09/07/2026 12:41 pm
Secret exposure debt is now a developer-workflow governance problem, not just a secrets-management problem. When an assistant silently loads .env files, the organisation has already lost control over the first trust decision: what may enter runtime context. That makes classic perimeter thinking too late, because the secret has already crossed from storage into tool-exposed memory. Practitioners should treat local developer workspaces as part of the secret governance surface.
A few things that frame the scale:
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap.
A question worth separating out:
Q: Who is accountable when an AI coding assistant leaks credentials?
A: Accountability sits with the organisation that allowed the assistant to inherit access to sensitive files, tools, and repositories without hard boundary controls. The technical failure may surface in the assistant, but the governance failure is the absence of deterministic policy around secret visibility and transmission. That is squarely an identity and access decision.
👉 Read our full editorial: Claude Code secret loading exposes a broader AI leakage problem
