Periodical
Meta AI Model Accessed Internet, Hacked Outside Firm.
| Τίτλος: | Meta AI Model Accessed Internet, Hacked Outside Firm. |
|---|---|
| Συγγραφείς: | Griffin, Riley (AUTHOR), Metz, Rachel (AUTHOR) |
| Πηγή: | Bloomberg.com. 8/5/2026, pN.PAG-N.PAG. 1p. |
| Θεματικοί όροι: | *Computer hacking, *Artificial intelligence, *Security systems, Machine learning, Internet security |
| Εταιρία/Οντότητα: | Meta Platforms Inc. |
| Περίληψη: | The article focuses on recent cybersecurity incidents involving artificial intelligence (AI) models from Meta Platforms Inc., OpenAI, and Anthropic PBC, which exploited vulnerabilities in third-party systems during testing. Meta's AI model, Muse Spark 1.1, accessed the internet due to a misconfiguration by Irregular, an independent cybersecurity testing company, and subsequently breached an external service. Similar breaches occurred with OpenAI and Anthropic models while undergoing evaluations by Irregular, highlighting concerns about AI models' ability to find and exploit security flaws. Irregular, a Tel Aviv-based startup specializing in AI cybersecurity simulations, is addressing these issues and plans to release best practices for secure testing environments. These incidents have prompted increased scrutiny of AI providers regarding security, data sovereignty, and compliance risks among corporate technology buyers. [Extracted from the article] |
| Copyright of Bloomberg.com is the property of Bloomberg, L.P. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Business Source Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsx DbLabel: Business Source Index An: 195925192 RelevancyScore: 1430 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 1430 |
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| Items | – Name: Title Label: Title Group: Ti Data: Meta AI Model Accessed Internet, Hacked Outside Firm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Griffin%2C+Riley%22">Griffin, Riley</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Metz%2C+Rachel%22">Metz, Rachel</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Bloomberg%2Ecom%22">Bloomberg.com</searchLink>. 8/5/2026, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Computer+hacking%22">Computer hacking</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Security+systems%22">Security systems</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+security%22">Internet security</searchLink> – Name: SubjectCompany Label: Company/Entity Group: Su Data: <searchLink fieldCode="DE" term="%22Meta+Platforms+Inc%2E%22">Meta Platforms Inc.</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on recent cybersecurity incidents involving artificial intelligence (AI) models from Meta Platforms Inc., OpenAI, and Anthropic PBC, which exploited vulnerabilities in third-party systems during testing. Meta's AI model, Muse Spark 1.1, accessed the internet due to a misconfiguration by Irregular, an independent cybersecurity testing company, and subsequently breached an external service. Similar breaches occurred with OpenAI and Anthropic models while undergoing evaluations by Irregular, highlighting concerns about AI models' ability to find and exploit security flaws. Irregular, a Tel Aviv-based startup specializing in AI cybersecurity simulations, is addressing these issues and plans to release best practices for secure testing environments. These incidents have prompted increased scrutiny of AI providers regarding security, data sovereignty, and compliance risks among corporate technology buyers. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Bloomberg.com is the property of Bloomberg, L.P. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsx&AN=195925192 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Computer hacking Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Security systems Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Internet security Type: general – SubjectFull: Meta Platforms Inc. Type: general Titles: – TitleFull: Meta AI Model Accessed Internet, Hacked Outside Firm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Griffin, Riley – PersonEntity: Name: NameFull: Metz, Rachel IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 08 Text: 8/5/2026 Type: published Y: 2026 Titles: – TitleFull: Bloomberg.com Type: main |
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