Adoption of new technologies can alter an organisation’s attack surface, requiring security controls, testing, and risk management to change.
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Background for this topic.
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.
More cybercriminals are turning to using autonomous AI tools to upgrade their attacks, as exemplified by the recent utilization of Anthropic’s Claude Code, prompting an urgent need for enterprises to adopt agentic AI-driven security platforms and proactive defenses to counter AI-related threats.
Active Directory remains the authentication backbone for over 90% of Fortune 1000 companies. AD's importance has grown as companies adopt hybrid and cloud infrastructure, but so has its complexity. Every application, user, and device traces back to AD for authentication and authorization, making it the ultimate target. For attackers, it represents the holy grail: compromise Active
Steve Lenderman of isolved on Cross-Device Challenges, User Adoption StrategiesSteve Lenderman, head of fraud prevention at isolved, discusses the shift to passwordless authentication, addressing adoption challenges across multiple devices, the link between cybersecurity and fraud prevention, and how behavioral analytics will shape identity verification in 2026 and beyond.