LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment
Software and systems security workflows are typically procedural: analysts inspect heterogeneous artifacts, form hypotheses, invoke tools, interpret outputs, and revise plans. Large language model (LLM)-based agents, which can plan, use tools, retain state, and revise actions across multi-step workflows, are being rapidly adopted to automate this work. Given the consequences of delegating security decisions to autonomous systems, understanding how such agents are built, used, and assessed is crucial. Yet to this date, there remains a lack of systematic understanding of what has been done and h
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 25%SWE-agent/SWE-agent →
“Possibly related via embedding similarity 0.55 (not asserted). Timestamp check: artifact slightly before paper (-44d).”
- PossiblePossibly related (embedding) · 71%Agentic AI and cybersecurity, the story so far →
- PossiblePossibly related (embedding) · 65%A system-level approach to prompt injection: separating instruction and data channels in LLM agents [P] →
- PossiblePossibly related (embedding) · 65%Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers →
- FuzzySimilar title/name (fuzzy) · 87%NirDiamant/GenAI_Agents →
“Fuzzy title match (0.94): “LLM-Based Agents for Software and Systems Security: Approach” ≈ “NirDiamant/GenAI_Agents””
- FuzzySimilar title/name (fuzzy) · 84%Unity-Technologies/ml-agents →
“Fuzzy title match (0.92): “LLM-Based Agents for Software and Systems Security: Approach” ≈ “Unity-Technologies/ml-agents””
- FuzzyOverlapping authors or contributors · 62%mudler/LocalAI →
“Shared author/contributor keys: guo”
- FuzzySimilar title/name (fuzzy) · 59%datawhalechina/hello-agents →
“Fuzzy title match (0.73): “LLM-Based Agents for Software and Systems Security: Approach” ≈ “datawhalechina/hello-agents””