{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JBZP6UTXLODYEDYXNRTN5LC5IZ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0a4e06333ba37d1a7c38973941795d55b0cd11aa066d19e22873a51c71d33dc3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-28T16:29:24Z","title_canon_sha256":"a777235e5b709a584c60eab521ca5cb87787d7abce5d9c3d7b5a549a456430cd"},"schema_version":"1.0","source":{"id":"2504.19956","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19956","created_at":"2026-07-05T10:57:57Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19956v2","created_at":"2026-07-05T10:57:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19956","created_at":"2026-07-05T10:57:57Z"},{"alias_kind":"pith_short_12","alias_value":"JBZP6UTXLODY","created_at":"2026-07-05T10:57:57Z"},{"alias_kind":"pith_short_16","alias_value":"JBZP6UTXLODYEDYX","created_at":"2026-07-05T10:57:57Z"},{"alias_kind":"pith_short_8","alias_value":"JBZP6UTX","created_at":"2026-07-05T10:57:57Z"}],"graph_snapshots":[{"event_id":"sha256:12c1049c9a8f3aef54089e11fe21d2d5c26eeb71251a7b7d94c621f08d4875a8","target":"graph","created_at":"2026-07-05T10:57:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2504.19956/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As generative AI (GenAI) agents become more common in enterprise settings, they introduce security challenges that differ significantly from those posed by traditional systems. These agents are not just LLMs; they reason, remember, and act, often with minimal human oversight. This paper introduces a comprehensive threat model tailored specifically for GenAI agents, focusing on how their autonomy, persistent memory access, complex reasoning, and tool integration create novel risks. This research work identifies 9 primary threats and organizes them across five key domains: cognitive architecture","authors_text":"Om Narayan, Vineeth Sai Narajala","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-28T16:29:24Z","title":"Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19956","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:4f80b7a08e085b30281fdecb145e4702c64933febdfce873757d979ff0899d33","target":"record","created_at":"2026-07-05T10:57:57Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"0a4e06333ba37d1a7c38973941795d55b0cd11aa066d19e22873a51c71d33dc3","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-28T16:29:24Z","title_canon_sha256":"a777235e5b709a584c60eab521ca5cb87787d7abce5d9c3d7b5a549a456430cd"},"schema_version":"1.0","source":{"id":"2504.19956","kind":"arxiv","version":2}},"canonical_sha256":"4872ff52775b87820f176c66deac5d465153faf6dc6ea1f61813c3a1738a2df4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4872ff52775b87820f176c66deac5d465153faf6dc6ea1f61813c3a1738a2df4","first_computed_at":"2026-07-05T10:57:57.284875Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:57:57.284875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l0ARDIkBcp4T1Bc91pxrX7HVnhWuqWbHjomCMFTDuDlwubAZsC58OJ9Sto463pTdzCouRkpeU6Y/kBoD7JHwCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:57:57.285417Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.19956","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f80b7a08e085b30281fdecb145e4702c64933febdfce873757d979ff0899d33","sha256:12c1049c9a8f3aef54089e11fe21d2d5c26eeb71251a7b7d94c621f08d4875a8"],"state_sha256":"b40f302b6ef746def275a4e629cbe1b49d5b6b0fe93d4195fe257c6bdb7204a5"}