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Latest coverage for Adoption

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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Bank Info Security 2 years, 8 months ago

Protecting Business-Critical Web Applications: 4 Challenges

How to Protect Dispersed Apps, APIs and Handle Low Visibility, Emerging ThreatsIn recent years, the adoption of public cloud infrastructures has surged, providing organizations with unparalleled flexibility and scalability. But this shift has also introduced a new set of challenges when it comes to protecting web applications and APIs that are hosted on these platforms.

Bank Info Security 2 years, 8 months ago

New CISA AI Road Map Charts Course for Responsible Adoption

Agency Aims to Take a Leadership Role in Government Adoption of Responsible AIThe U.S. Cybersecurity and Infrastructure Security Agency has released a road map for artificial intelligence after an October executive order tasked the Department of Homeland Security with assisting federal agencies and the private sector in the safe development and deployment of new AI systems.