{"id":198682,"date":"2026-03-24T06:30:00","date_gmt":"2026-03-24T10:30:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/03\/24\/confidential-computing-in-cybersecurity-data-in-use-in-ai\/"},"modified":"2026-03-24T06:35:12","modified_gmt":"2026-03-24T10:35:12","slug":"confidential-computing-in-cybersecurity-data-in-use-in-ai","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/03\/24\/confidential-computing-in-cybersecurity-data-in-use-in-ai\/","title":{"rendered":"Confidential Computing in cybersecurity: data in use in AI"},"content":{"rendered":"

Confidential Computing in cybersecurity: data in use in AI<\/a><\/p>\n

https:\/\/www.telefonica.com\/en\/communication-room\/blog\/confidential-computing-cybersecurity-data-ai\/<\/a><\/p>\n

Publish Date: 2026-03-24 06:30:00<\/a><\/p>\n

Source Domain: www.telefonica.com<\/a><\/p>\n

Author: <\/a><\/p>\n

Using an unordered list, summarize the following article with between 4 and 8 key points. AI agents are transforming the way we interact with systems, data and processes, and we provide them with a great deal of information: email passwords, social media credentials, database access and access to file systems. This new layer of automation introduces a risk factor that is not always addressed in sufficient depth: the exposure of data in use.Unlike data at rest (those protected in databases) and in transit (those encrypted in communications), data in use \u2013 those that are processed in the memory \u2013 are usually unencrypted during their execution. In the case of agents, we\u2019re providing them with access to our email, our calendar, our social media, our company databases and our file systems. Collectively, they\u2019re passwords that are raw in the memory when they\u2019re used. If the host is compromised, they can read the data that aren\u2019t encrypted. This is the moment at which the paradigm of Confidential Computing, one of the key cybersecurity trends in the coming years, comes into play.This approach can: Process encrypted data, even during their execution.Isolate workloads in secure environments within the processor (TEEs \u2013 Trusted Execution Environments).Reduce the surface area of the attack, even in cases of insider threats and compromised hosts. Technologies such as Intel SGX, AMD SEV and ARM TrustZone enable these protected environments, within which the data are decrypted solely in secure enclaves and never exposed to the operating system, cloud provider or potential attackers. Furthermore, mechanisms such as the attestation can verify whether the environment is trustworthy before any sensitive information is processed, adding an extra layer of assurance in critical scenarios such as payments, digital identity and personal data processing. This was one of the subjects that Telef\u00f3nica Innovaci\u00f3n Digital recently addressed at RootedCON, one of the leading European cybersecurity forums, at which Pablo Gonz\u00e1lez, head of the Future Cybersecurity Lab team, and I shared our vision of the emerging risks associated with agents and the need to upgrade the data protection models. Within a context in which AI agents have increasing capabilities and access, the design of secure architectures can no longer be limited to protecting storage and communications. At Telef\u00f3nica Innovaci\u00f3n Digital we\u2019re working at the intersection of AI and cybersecurity to anticipate these challenges and develop solutions to ensure that these technologies can be adopted in a secure and scalable manner. The future of computing lies in the constant protection of data. And this necessarily includes when they\u2019re in use.
<\/p>\n","protected":false},"excerpt":{"rendered":"

Confidential Computing in cybersecurity: data in use in AI https:\/\/www.telefonica.com\/en\/communication-room\/blog\/confidential-computing-cybersecurity-data-ai\/ Publish Date: 2026-03-24 06:30:00 Source…<\/p>\n","protected":false},"author":1,"featured_media":198683,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.telefonica.com\/en\/wp-content\/uploads\/sites\/5\/2026\/03\/confidential-computing.jpg","fifu_image_alt":"","footnotes":""},"categories":[15],"tags":[26,24],"class_list":["post-198682","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cybersecurity","tag-ai","tag-cybersecurity"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/198682"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=198682"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/198682\/revisions"}],"predecessor-version":[{"id":198684,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/198682\/revisions\/198684"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/198683"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=198682"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=198682"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=198682"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}