AI system attacked or breached
The AI product or its infrastructure is the target of the attack.
NIST AI 600-1 · Information SecurityMITRE ATLAS
Incidents per quarter
2025-Q3: 0 · 2025-Q4: 0 · 2026-Q1: 0 · 2026-Q2: 0 · 2026-Q3: 0 · 2026-Q4: 1
Developers
Where the chain broke
| Layer | Held | Did not hold | Not mentioned | Attacker's own | Not read yet |
|---|---|---|---|---|---|
| L1 Model Model provider | – | – | – | – | 1 |
| L2 Harness Agent framework vendor | – | – | – | – | 1 |
| L3 Application Deployer | – | – | – | – | 1 |
| L4 Infrastructure / target Organisation hit | – | – | – | – | 1 |
Controls for this risk, by layer
HeldFailedGot aroundMissing
| Control | Held | Failed | Got around | Missing | Not mentioned | Did not hold, last 6 quarters | Added in fixes | Most common reason |
|---|---|---|---|---|---|---|---|---|
| Short-lived, scoped credentials L3 Application | – | – | – | – | – | – | ||
| Segmentation of agent components L3 Application | – | – | – | – | – | – | ||
| Live behaviour monitoring L3 Application | – | – | – | – | – | – | ||
| AI incident response plan L3 Application | – | – | – | – | – | – | ||
| Vulnerability scanning of AI components L3 Application | – | – | – | – | – | – | ||
| Encryption of stored data L3 Application | – | – | – | – | – | – | ||
| Adversarial testing before deployment L3 Application | – | – | – | – | – | – | ||
| Known flaws patched L4 Infrastructure / target | – | – | – | – | – | – | ||
| Intrusion and endpoint detection L4 Infrastructure / target | – | – | – | – | – | – | ||
| Inventory of exposed services L4 Infrastructure / target | – | – | – | – | – | – |
10 of 10 controls for this risk not yet seen holding.
Fixes reported and what followed
No remediation reported for incidents of this risk.
Incidents
HeldFailedGot aroundMissingNot mentionedNot read yetAttacker's ownOrder: model · harness · application · target
| Date | Incident | Risk | Chain | Controls named |
|---|---|---|---|---|
| 2026-10-25 | Unauthorized third-party AI agents detected operating inside US bank customer accounts Meta |
AI system attacked or breached | Not read yet |
Also under this risk as a secondary risk: LR-2026-0281, LR-2026-0280, LR-2026-0273, LR-2026-0268, LR-2026-0275, LR-2026-0266, LR-2026-0262, LR-2026-0258, LR-2026-0257, LR-2026-0251, LR-2026-0267, LR-2026-0253, LR-2026-0248, LR-2026-0260, LR-2026-0259, LR-2026-0255, LR-2026-0254, LR-2026-0256, LR-2026-0239, LR-2026-0237, LR-2026-0232, LR-2026-0229, LR-2026-0214, LR-2026-0212, LR-2026-0279, LR-2026-0202, LR-2026-0196, LR-2026-0235, LR-2026-0189, LR-2026-0168, LR-2026-0165, LR-2026-0153, LR-2026-0138, LR-2026-0137, LR-2026-0136, LR-2026-0135, LR-2026-0133, LR-2026-0127, LR-2026-0125, LR-2026-0123, LR-2026-0121, LR-2026-0117, LR-2026-0115, LR-2026-0140, LR-2026-0197, LR-2026-0069, LR-2026-0228, LR-2026-0071, LR-2026-0054, LR-2026-0056, LR-2026-0122, LR-2026-0243, LR-2026-0059, LR-2026-0084, LR-2026-0031, LR-2026-0086, LR-2026-0246, LR-2026-0089, LR-2026-0088, LR-2026-0027, LR-2026-0025, LR-2026-0090, LR-2026-0049, LR-2026-0063, LR-2026-0111, LR-2026-0013, LR-2026-0191, LR-2026-0032, LR-2026-0129, LR-2026-0016, LR-2026-0096, LR-2026-0245, LR-2025-0044