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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 5 months, 2 weeks ago

ISMG Editors: Real-Time Vishing Is Breaking MFA

Also: Why AI Agents Are Colliding, What Good Governance Ought to Look LikeIn this week's panel, four ISMG editors discussed real-time vishing attacks that are defeating MFA, the growing problem of AI agents making conflicting decisions inside of enterprises and why the next phase of AI adoption depends on governance, accountability and control.

Bank Info Security 5 months, 2 weeks ago

Outtake Gets $40M to Grow Automated Threat Response

Agents Fuel Digital Risk Protection, Open-Source Intel Adoption in Regulated SpacesOuttake will invest $40 million to grow its automated platform for digital risk protection and open-source threat intelligence. CEO Alex Dhillon says the New York-based startup's agent-led model stands apart by replacing manual labor with scalable AI workflows.