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Adoption of new technologies can alter an organisation’s attack surface, requiring security controls, testing, and risk management to change.

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Adoption is the extent to which people and organizations begin using a security technology, control, policy, or practice and incorporate it into routine work. In cybersecurity, adoption is more than purchasing or deploying a capability: it includes correct configuration, user participation, and continued use. Examples include enabling multifactor authentication, applying security patches, using secure coding practices, and collecting logs from systems that require monitoring.

Adoption matters because uneven or incomplete use leaves exploitable gaps. A partially deployed authentication control may protect some accounts while others remain exposed; delayed patch adoption can leave known vulnerabilities available to attackers; and missing or poorly configured logging can limit detection and investigation. Practitioners therefore assess coverage, exceptions, configuration quality, and whether controls operate as intended. Training, usable workflows, staged rollout, and measured policy compliance can improve adoption without encouraging insecure workarounds or unnecessary collection of personal data.

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Predibase Acquisition Adds AI Talent, Cost-Optimization and Fine-Tuning Model TechRubrik has acquired Predibase to accelerate enterprise generative AI adoption with improved accuracy and efficiency. Rubrik will combine its trusted data security with Predibase’s model hosting and tuning to drive scalable, trustworthy AI deployment to help scale projects from pilot to production.

Gartner Says Leaders Should Balance AI Innovation With Strong Data GovernanceAs AI adoption grows, Gartner warns that data governance, not technology, is the top hurdle. At the Mumbai summit, Gartner analysts said data and analytics leaders should shift from fear to trust, align with business goals and scale AI through practical governance.