Fireworks incident update adds customer responses and October 6 timeline
New reporting on Fireworks AI’s October security incident adds details about the company’s initial October 6 discovery and containment, alongside responses from Notion and other customers.

Key takeaways · 4
- 01
Fireworks said it began containment on October 6 and directly notified every identified affected customer.
- 02
The affected information included resource metadata and billing details, but Fireworks said payment card numbers were not affected.
- 03
Fireworks disabled self-serve dataset uploads and downloads used by Batch Inference and dataset-based training during its investigation.
- 04
Notion said it disabled its Insights feature during its investigation and stopped serving open-weight models through Fireworks.
The incident timeline widened
Fireworks’ initial bulletin said the company identified unauthorized use of internal credentials on October 6, including access to evaluation-job environment variables in a limited number of customer accounts.[2] It said it began containment that day and directly notified every customer it had identified as affected.[2] At first, Fireworks said it had no evidence of unauthorized access to customer models, datasets, training data, personal information or inference traffic within its security perimeter or control.[2] Its later account described impacts to account and billing information, and to secrets, datasets and incomplete models for a limited set of accounts.[1] Fireworks said its findings remain subject to an ongoing investigation.[1]
What the later investigation found
The affected internal application exposed resource identifiers, display names, descriptions and creation times.[1] The billing information included billing and shipping addresses, invoice and payment history, account balance and credit usage.[1] Fireworks said it does not store payment card numbers and that they were not affected.[1] For certain customers, the accessed data included a subset of incomplete model weights and datasets.[1] Fireworks said it was notifying affected customers and providing impact details and recommended response actions.[1] It advised customers to rotate or revoke third-party credentials with their issuing providers, then update applications and Fireworks secrets that use them.[2]
Customer actions and service changes
Notion said it was notified on November 2, disconnected its systems from Fireworks and deleted its data there; it said Fireworks notified it on November 6 that malicious actors may have accessed potential customer data.[3] Notion also said it disabled its Insights feature during its investigation and stopped serving open-weight models through Fireworks.[3] Forbes reported that two customers had substantially moved their business off Fireworks, with one citing hacks and poor communication.[4] Fireworks said it disabled self-serve dataset uploads and downloads for Batch Inference and dataset-based training while investigating.[1] It said Training SDK remained available with zero data retention, and Lab-based training operated in an isolated environment with added network and storage protection.[1]
Fireworks’ stated security steps
Fireworks said it revoked and replaced credentials and service accounts, removed unnecessary elevated privileges, and tightened controls against creating unauthorized credentials.[1] It also said it restricted unauthorized network pathways, isolated affected systems, reviewed access to data storage and analytics systems, and added controls against public or unauthorized access to stored data.[1] The company said it secured and enhanced logging and monitoring systems.[1] Separately, it said a third-party cloud provider hosting its R&D machines experienced a security incident on October 23, and an unauthorized party used the provider the next day to reach development machines and run a workload that caused additional customer-data impact.[1] Fireworks said it detected that activity on October 24 and had not detected further evidence of successful unauthorized access to the customer platform as of October 25.[1]
Teams using external AI infrastructure should assess whether their stored credentials, datasets or model assets could be implicated, and review the provider’s stated scope and response actions. The account also shows why service availability, data-retention practices and incident communications deserve separate scrutiny.
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For teamsHow this developed
10 November 2026
The evidence adds Fireworks’ account of its October 6 discovery and containment, further security measures, and customer responses from Notion and two customers reported by Forbes.
10 November 2026
The evidence specifies that Fireworks’ bulletin was updated November 9 after an initial October 9 bulletin, that its initial known impact was limited to stored secrets, and that its investigation remained ongoing. A separate Google Cloud report gives figures for fraudulent resource-consumption charges across individual incidents, not specifically for Fireworks.
10 November 2026
The evidence adds Fireworks’ statement that Inference, Training SDK and Nexus were not impacted, details of expanded security controls, and its assessment linking the activity to LLMJacking; Bloomberg also describes this as Fireworks’ second known hack in weeks.
10 November 2026
Fireworks AI revises security bulletin with additional customer-data impacts
Sources
- Update on October 2026 security incident | Fireworks AIfireworks.ai
- Fireworks October 2026 security incident | Fireworks AIfireworks.ai
- Nvidia-Backed Fireworks AI Notifies Customers of Its Second Hack in Weeks - Bloombergbloomberg.com
- Fireworks Cyberattack Exposes Customer Data And AI Models As Fallout Widensforbes.com
- The Rise of LLMJacking: How Threat Actors Monetize Compromised Cloud and Model Resources | Google Cloud Blogcloud.google.com
- AI company Fireworks says hackers stole data, billing info during October breaches | The Record from Recorded Future Newstherecord.media