Artificial intelligence has dramatically accelerated software development, with coding agents now capable of producing large volumes of production-ready code in minutes. Yet while writing software has become faster, ensuring that software behaves correctly in production remains one of engineering’s biggest challenges. For decades, observability platforms have helped teams monitor infrastructure through logs, metrics, and traces. But according to Roee […]<br /> This story continues at The Next Web [...]
A security researcher, working with colleagues at Johns Hopkins University, opened a GitHub pull request, typed a malicious instruction into the PR title, and watched Anthropic’s Claude Code Securit [...]
For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's a [...]
Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]
The growing use of AI in software development is changing the bottleneck for engineering teams. Generating code is becoming faster, but reviewing its potential impact, validating releases, and respond [...]
In Q1 2026, VentureBeat's Pulse Research surfaced the “Governance Mirage”: the gap between the governance org charts enterprises had drawn and the control layers they had actually built. Fort [...]
Organizational leaders are nearly twice as likely to hide their AI use compared to all other employees, at 42% versus 23%, according to new Ivanti research surveying 3,900 employees across six countri [...]
Microsoft assigned CVE-2026-21520, a CVSS 7.5 indirect prompt injection vulnerability, to Copilot Studio. Capsule Security discovered the flaw, coordinated disclosure with Microsoft, and the patch was [...]