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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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With $5.5 trillion in global AI risk exposure and 700,000 U.S. workers needing reskilling, four new AI certifications and Certified CISO v4 help close the gap between AI adoption and workforce readiness

Sees little enterprise AI adoption other than coding assistants, buys Koi for what comes next If enterprises are implementing AI, they’re not showing it to Palo Alto Networks CEO Nikesh Arora, who on Tuesday said business adoption of the tech lags consumer take-up by at least a couple of years – except for coding assistants.…