{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JBZP6UTXLODYEDYXNRTN5LC5IZ","short_pith_number":"pith:JBZP6UTX","canonical_record":{"source":{"id":"2504.19956","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-28T16:29:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a777235e5b709a584c60eab521ca5cb87787d7abce5d9c3d7b5a549a456430cd","abstract_canon_sha256":"0a4e06333ba37d1a7c38973941795d55b0cd11aa066d19e22873a51c71d33dc3"},"schema_version":"1.0"},"canonical_sha256":"4872ff52775b87820f176c66deac5d465153faf6dc6ea1f61813c3a1738a2df4","source":{"kind":"arxiv","id":"2504.19956","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JBZP6UTXLODYEDYXNRTN5LC5IZ","target":"record","payload":{"canonical_record":{"source":{"id":"2504.19956","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-04-28T16:29:24Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a777235e5b709a584c60eab521ca5cb87787d7abce5d9c3d7b5a549a456430cd","abstract_canon_sha256":"0a4e06333ba37d1a7c38973941795d55b0cd11aa066d19e22873a51c71d33dc3"},"schema_version":"1.0"},"canonical_sha256":"4872ff52775b87820f176c66deac5d465153faf6dc6ea1f61813c3a1738a2df4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:57:57.285417Z","signature_b64":"l0ARDIkBcp4T1Bc91pxrX7HVnhWuqWbHjomCMFTDuDlwubAZsC58OJ9Sto463pTdzCouRkpeU6Y/kBoD7JHwCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4872ff52775b87820f176c66deac5d465153faf6dc6ea1f61813c3a1738a2df4","last_reissued_at":"2026-07-05T10:57:57.284875Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:57:57.284875Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.19956","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:57:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hJ87GbTDsd+oZ5X97+X1i4eOKWDbPKsoxOyL4DkbvOvKMlxtbPugDmKctN53qKWlSfJZLF+BZC26viDw/hGUCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:35:16.861238Z"},"content_sha256":"4f80b7a08e085b30281fdecb145e4702c64933febdfce873757d979ff0899d33","schema_version":"1.0","event_id":"sha256:4f80b7a08e085b30281fdecb145e4702c64933febdfce873757d979ff0899d33"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JBZP6UTXLODYEDYXNRTN5LC5IZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CR","authors_text":"Om Narayan, Vineeth Sai Narajala","submitted_at":"2025-04-28T16:29:24Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19956","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2504.19956/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:57:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tq0JNu0rhT/LnyPUTwo5/faSaeC1cA25seYh3LRuOMVIMobHcPZYgxfw1+Zw6wzs7VXiLECXs5Yvay8BltxMBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T19:35:16.862139Z"},"content_sha256":"12c1049c9a8f3aef54089e11fe21d2d5c26eeb71251a7b7d94c621f08d4875a8","schema_version":"1.0","event_id":"sha256:12c1049c9a8f3aef54089e11fe21d2d5c26eeb71251a7b7d94c621f08d4875a8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JBZP6UTXLODYEDYXNRTN5LC5IZ/bundle.json","state_url":"https://pith.science/pith/JBZP6UTXLODYEDYXNRTN5LC5IZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JBZP6UTXLODYEDYXNRTN5LC5IZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T19:35:16Z","links":{"resolver":"https://pith.science/pith/JBZP6UTXLODYEDYXNRTN5LC5IZ","bundle":"https://pith.science/pith/JBZP6UTXLODYEDYXNRTN5LC5IZ/bundle.json","state":"https://pith.science/pith/JBZP6UTXLODYEDYXNRTN5LC5IZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JBZP6UTXLODYEDYXNRTN5LC5IZ/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X+9vdPINC22Uh88eMSMVabP6irnKuBewtUfGiiPEMzv1zC/yaPF7/XoEQy+i9ay/YNlTvvbK8+A/6qhjpYS3DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T19:35:16.869352Z","bundle_sha256":"38b4858acc2638ad078bcf5e5d725b7f7565e3d23e84766725bcb4a7ebd6bbd5"}}