Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

AI-driven coding tools are putting security teams under growing pressure to separate real threats from noise, forcing leaders to rethink application security at scale.

Discover how AI-driven smart contract auditing detects vulnerabilities, improves security, and ensures safer blockchain deployments.

The “health, wealth and care” provider has set up Sonarqube Cloud as its “group standard” static application security testing ...

ESET researchers document how the Sednit APT group has reemerged with a modern toolkit centered on two paired implants – BeardShell and Covenant.

AI is getting scary good at finding hidden software bugs - even in decades-old code ...

Anthropic's AI tool Claude Code Security analyzes code contextually rather than based on rules. The stock market reacts ...

Premier Energies' Vinay Rustagi explores how India’s rapid renewable energy expansion is colliding with the limitations of its grids ...

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

At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...

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, ...