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Most read news & articles within last 7 days
Broadcom Launches Trusted Artifact Service for Spring Framework
Mike Vizard | | AI coding, Apache Tomcat, application security, Bitnami Secure Images, Broadcom, container security, dependency security, devsecops, java, kubernetes, node.js, open source security, open source vulnerabilities, patch management, Python, SBoM, secure software development, software artifacts, Software Supply Chain Security, Spring framework, Spring Security, Tanzu, TrueSource Trusted Artifacts, VMware explore, vulnerability managementBroadcom launches TrueSource Trusted Artifacts to provide hardened Spring dependencies, secure open source packages and automated vulnerability remediation ...
Debian’s AI Vote Bets on Accountability Instead of a Ban
Tom Smith | | AI coding, AI Governance, AI policy, AI-assisted development, AI-generated code, code review, confidential data, Debian, developer productivity, devops, generative AI, Human Oversight, open source, software development, software securityDebian’s new AI contribution policy avoids bans and mandatory disclosure, instead making developers responsible for reviewing AI-generated work and protecting sensitive data ...
OpenAI Cuts Off Cursor’s Model Access After SpaceX Acquisition
OpenAI is ending Cursor’s direct access to its AI models after Elon Musk’s SpaceX acquired its parent company, Anysphere. This is the next move in the increasingly bitter conflict between Elon Musk ...
Sonar AI Agent Discovers Vulnerabilities Hidden in Business Logic Workflows
Sonar today made available an artificial intelligence (AI) agent designed to discover vulnerabilities and business logic flaws that pose the greatest risk to an organization should they be exploited. The SonarQube Hunter ...
Tricentis Preps Wave of Additional AI Testing Capabilities
Tricentis is providing early access to multiple artificial intelligence (AI) capabilities that it is gearing up to roll out later this year via a Tricentis Transform initiative, including an autonomous AI agent, ...
Harness Unfurls Source Code Repository Alternative to GitHub
Harness today launched a code repository service that is specifically designed for DevOps teams that are relying on artificial intelligence (AI) agents to generate code. Martin Reynolds, Field CTO for Harness, said ...
A Simple Website Summary Just Exposed the Limits of AI Coding Guardrails
Tom Smith | | agentic AI security, AI agent security, AI coding assistants, AI guardrails, AI security, Anthropic, Auto Mode, Claude Code, Claude Opus 5, devops security, indirect prompt injection, Johann Rehberger, network egress, platform engineering, prompt injection, Python module shadowing, RCE, remote code execution, sandboxing, struct.pyClaude Code’s Auto Mode was bypassed in an attack chain that turned a routine webpage summary into remote code execution, highlighting the limits of AI agent guardrails ...
GitHub Tightens Copilot’s Billing and Governance Rules Ahead of a Busy Fall
Tom Smith | | AI cost management, AI Governance, Balanced review, chat data retention, Copilot billing, Copilot Business, Copilot Chat, Copilot cloud agent, Copilot code review, Copilot Enterprise, developer tools, GitHub AI Credits, GitHub Copilot, GitHub Mobile, Lite review, platform engineering, token-based billing, usage based billingGitHub Copilot is tightening enterprise controls with upfront seat billing, longer chat retention and a Balanced code review default ...
The Missing Runtime for Long-Running AI Agents
Anuj Kapoor | | agent governance, agent orchestration, agent runtime, AI agents, AI observability, AI resiliency, Azure AI Foundry, Azure Durable Functions, devops, distributed systems, durable AI agents, durable workflows, Enterprise AI, human-in-the-loop, long-running AI agents, multi-agent systems, platform engineering, stateful AI, workflow orchestrationEnterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and resume reliably after disconnects or delays. AI ...
Automated Diagnosis Isn’t Automated Understanding: What Postmortems Teach Us About Building Trustworthy Incident AI
Jyostna Seelam | | AI incident response, AI observability, AI reliability, AIOps, alert correlation, automated incident response, causal reasoning, dependency graphs, devops, Engineering leadership, human-in-the-loop, incident diagnosis, incident management, LLM operations, non-deterministic systems, on-call engineering, postmortems, RAG systems, root cause analysis, SREAI incident tools can reduce alert noise, but real root-cause diagnosis requires causal reasoning, live dependency context, uncertainty handling and strong postmortem data ...
