Unverified50% confidenceTradeoffExact time
LLM-based code auditing has difficulty performing precise state tracking across files and cross-function call chains, and cannot actually execute code to discover runtime vulnerabilities the way fuzz testing can.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/4/2026
First Seen
Valid until: 12/3/2026
Sources
Related Entities
Related Claims
UnverifiedThe root causes of problems in LLM applications are often not code logic errors, but soft factors such as prompt wording, context management, and retrieval strategies, which are difficult to automatically fix with deterministic rules.73% similarUnverifiedLLM architectures cannot strictly distinguish between 'instructions' and 'data' at the semantic level, which is the root cause of why prompt injection is difficult to fundamentally eliminate.70% similarUnverifiedLLMs lack global state understanding of entire codebases, making them unable to predict cascading effects of code modifications.69% similarUnverifiedSAST analyzes source code or binaries without running the code, offering broad coverage but a high false-positive rate; DAST probes for vulnerabilities at runtime, offering high accuracy but limited coverage.68% similar
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