Sri Lanka continues to face significant cybersecurity challenges, with 30.4% of internet users experiencing web-borne cyberattacks in 2025, according to the latest Kaspersky Security Bulletin. The ...

Large Language Models (LLMs) have transformed natural language processing, but their limitations, such as fixed training data and lack of real-time updates, pose challenges for certain applications.

Survey of 450 automotive development professionals finds early adoption of modern toolchains key to maintaining competitiveness and software quality in AI-driven vehicle development. MINNEAPOLIS, ...

Interactive sandbox analysis exposes phishing hidden in HTTPS and trusted infrastructure, helping SOCs detect attacks and prevent credential theft.

AI agents are replacing mockups with working prototypes; teams now plan in 3–6 month cycles, changing handoffs and feedback loops.

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...

Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...

Technologists call this invisible liability technical debt. Software engineer Ward Cunningham introduced the metaphor to describe the future cost created when teams choose a faster or easier solution ...

In an agentic world, that means AI systems must have explicit, verifiable identities of their own, not operate through inherited or shared credentials.

A DLP breakthrough with the skills required to autonomously take on the most complex operational challenges in data security.SEATTLE, 2026 ...

Stop hardcoding every edge case; instead, build a robust design system and let a fine-tuned LLM handle the runtime layout ...

OpenAI released Codex Security on March 6, an AI-powered application security agent that scans codebases for vulnerabilities, validates findings in sandboxed environments, and proposes patches. The ...