Security news aggregator

Latest coverage for Adoption

Adoption of new technologies can alter an organisation’s attack surface, requiring security controls, testing, and risk management to change.

63 headlines in this view

Refine the feed

Search across headline titles and summaries.

Tag briefing

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.

Volume over time

Weekly headline count for the current query.

Showing 20 most recent headlines of 63 Filtered view

Analysts recently confirmed what identity security teams have quietly feared: AI agents are being deployed faster than enterprises can govern them. In their inaugural Market Guide for Guardian Agents, Gartner states that “enterprise adoption of AI agents is accelerating, outpacing maturity of governance policy controls.” Enterprise leaders can request access to the Gartner Market Guide for

While the software industry has made genuine strides over the past few decades to deliver products securely, the furious pace of AI adoption is putting that progress at risk. Businesses are moving fast to self-host LLM infrastructure, drawn by the promise of AI as a force multiplier and the pressure to deliver more value faster. But speed is coming at the expense of security

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

When a Magecart payload hides inside the EXIF data of a dynamically loaded third-party favicon, no repository scanner will catch it – because the malicious code never actually touches your repo. As teams adopt Claude Code Security for static analysis, this is the exact technical boundary where AI code scanning stops and client-side runtime execution begins

The threat actor known as Storm-0249 is likely shifting from its role as an initial access broker to adopt a combination of more advanced tactics like domain spoofing, DLL side-loading, and fileless PowerShell execution to facilitate ransomware attacks

The Hacker News 7 months, 2 weeks ago

Why Organizations Are Turning to RPAM

As IT environments become increasingly distributed and organizations adopt hybrid and remote work at scale, traditional perimeter-based security models and on-premises Privileged Access Management (PAM) solutions no longer suffice. IT administrators, contractors and third-party vendors now require secure access to critical systems from any location and on any device, without compromising

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

Scaling the SOC with AI - Why now?  Security Operations Centers (SOCs) are under unprecedented pressure. According to SACR’s AI-SOC Market Landscape 2025, the average organization now faces around 960 alerts per day, while large enterprises manage more than 3,000 alerts daily from an average of 28 different tools. Nearly 40% of those alerts go uninvestigated, and 61% of security teams admit

The world of enterprise technology is undergoing a dramatic shift. Gen-AI adoption is accelerating at an unprecedented pace, and SaaS vendors are embedding powerful LLMs directly into their platforms. Organizations are embracing AI-powered applications across every function, from marketing and development to finance and HR. This transformation unlocks innovation and efficiency, but it also

Generative AI has gone from a curiosity to a cornerstone of enterprise productivity in just a few short years. From copilots embedded in office suites to dedicated large language model (LLM) platforms, employees now rely on these tools to code, analyze, draft, and decide. But for CISOs and security architects, the very speed of adoption has created a paradox: the more powerful the tools, the

The security landscape for cloud-native applications is undergoing a profound transformation. Containers, Kubernetes, and serverless technologies are now the default for modern enterprises, accelerating delivery but also expanding the attack surface in ways traditional security models can’t keep up with

The Harsh Truths of AI Adoption MITs State of AI in Business report revealed that while 40% of organizations have purchased enterprise LLM subscriptions, over 90% of employees are actively using AI tools in their daily work. Similarly, research from Harmonic Security found that 45.4% of sensitive AI interactions are coming from personal email accounts, where employees are bypassing corporate

Loading more headlines...