Identifier-Free Code Embedding Models for Scalable Search
2026-05-08T07:23:42Z•1cff5d79a8673ccd19bfaab15099c4bcc20ce30735a2ca9677804cd41f0d1995
6G knowledge-base securityABACDAO auditingIDSLLM securityMCPPDF steganographyPII detectionRAG securityRBACSQL injectionVLM privacycontent moderationdocument hardeningflow-to-image encodinglocal differential privacymultitenant isolationon-chain registrypolicy enforcementprompt injectionretrieval-time gatingreverse engineering embeddingsskill verificationsoftware supply chainsupply chain security
What happened
Collection of arXiv papers (May 8, 2026) addressing security and privacy risks in AI/LLM systems and network defenses. Notable items: SecureMCP — a policy-enforced MCP server that mitigates prompt-injection–driven SQL exfiltration in AIoT via table/column RBAC, query gating, and pattern interception (82.3% policy compliance in tests); SIGIL — a tamper-evident on-chain skill registry plus a Skill Verification Loader to cryptographically bind LLM skills from publication to runtime, reducing supply-chain tampering; Securing the Agent/OGX — a layered isolation architecture (policy-aware ingestion,
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- 1cff5d79a8673ccd19bfaab15099c4bcc20ce30735a2ca9677804cd41f0d1995
- Enrichment time
- 2026-05-08T07:23:42Z
- AI-assisted enrichment
- Yes
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