Search results for CI/CD
AI & Enterprise
Why system-first engineering matters for agentic AI
As agentic AI moves beyond support to execute tasks inside workflows, trust becomes unavoidable. The risk comes less from AI acting alone than from engineering workflows that fail to express system-level behaviour in an executable form. System-first engineering, implemented through model-based design, provides shared, executable system models across mechanical, electrical and software domains. Deterministic, repeatable verification and simulation reduce dependence on hardware testing and allow changes to be assessed early against system-level criteria.
AI & Enterprise
AI-driven cyber security threats require layered defense strategy
Gartner said attackers can gain an advantage by exploiting targeted vulnerabilities through four major cyber threats: deepfakes, AI application compromise, prompt injection and software supply chains. It assessed each threat based on “threat signals” and an organisation’s response capabilities, classifying them into six areas. Gartner said advances in generative AI are increasing the scale and precision of deepfakes and raising risks across corporate AI tools and software supply chains.
AI & Enterprise
AI coding tool could accelerate supply chain security threats
A vulnerability has been found that could allow supply chain attacks by abusing automation features in the AI coding tool Claude Code, SecurityWeek reported on May 7. Adversa.AI researchers said attackers could upload a GitHub repository containing hidden malware that Claude Code may automatically download. If a developer accepts a default trust prompt, malicious code could run with administrator privileges, enabling remote control. Risks rise in CI/CD pipelines, they said.
