Adoption of new technologies can alter an organisation’s attack surface, requiring security controls, testing, and risk management to change.
Search across headline titles and summaries.
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.
In embracing device code phishing, attackers trick victims into handing over account access by using a service's legitimate new-device login flow.
Bank of America, Citi and Goldman Anchor Partner Cohort for OpenAI's GPT-5.4-CyberOpenAI's Trusted Access for Cyber program prioritizes financial institutions to drive adoption of GPT-5.4-Cyber in regulated environments, highlighting a split with Anthropic’s developer-centric, tech-heavy partnerships and raising questions about partnership value and data-sharing models.
Few technologies have moved from experimentation to boardroom mandate as quickly as AI. Across industries, leadership teams have embraced its broader potential, and boards, investors, and executives are already pushing organizations to adopt it across operational and security functions. Pentera’s AI Security and Exposure Report 2026 reflects that momentum: every CISO surveyed
The deal aims to accelerate AI adoption, train workers, and develop cybersecurity partnerships — the latest move by a hyperscaler to compete for sovereign AI and data centers.
CISO Insights Reveal Gaps Between AI Adoption Speed and Data Security MaturityA survey of 124 CISOs reveals most enterprises have scaled AI but lack confidence in data security controls. With only one in five initiatives meeting KPIs, gaps in enforcement, data trust and visibility are emerging as critical barriers to AI success.
Bridging Observability Gaps With AI, OTel and Scalable Data ModelsAs AI-driven development and cloud adoption accelerate system complexity, traditional observability tools are struggling to keep pace. This analysis outlines four foundational pillars to close visibility gaps and enable faster, AI-powered root cause analysis.