Tag: AI Governance
The Agent Proposes, the Pipeline Disposes: Controls for AI-Authored Change
Veera Ravindra Divi | | agent permissions, agentic coding, AI change control, AI code review, AI coding agents, AI Governance, AI pull requests, AI software development, AI-authored code, AI-generated code security, autonomous coding agents, bounded-write agents, change-budget gates, CI/CD security, human-in-the-loop, in-toto, independent evals, least-privilege, policy as code, protected paths, provenance attestation, provenance verification, Secure DevOps, signed attestations, Sigstore, SLSA, Software Supply Chain Security, staged autonomyWhen agents write code and open pull requests faster than humans can read them, ‘the diff looked fine’ stops being a control. The durable controls live outside the agent’s reasoning loop ...
Anthropic Makes Claude Code’s Auto Mode the Default, Betting Automation Beats Manual Review
Tom Smith | | agent permissions, agentic coding, AI code generation, AI coding agents, AI Governance, AI guardrails, AI permissions, AI safety, AI security, Anthropic, autonomous coding agents, Claude Code, Claude Code auto mode, Claude Code security, coding automation, developer productivity, developer tools, human engineering the loop, human-in-the-loop, permission fatigue, prompt injection, Pull Request Automation, secure AI agents, software development, software engineeringAnthropic is making Claude Code’s auto mode the default for Pro, Max and Team users, replacing constant permission prompts with classifier-based guardrails designed to catch risky actions without slowing developers down ...
The Innovation Puzzle 2.0: Connecting Vision and Value
Suneetha Uppalapati | | AI Governance, AI strategy, developer productivity, digital transformation, enterprise architecture, enterprise innovationThe tech landscape constantly evolves, making it tempting to chase every new trend. Ironically, in today's business world, the word "innovation" has become almost synonymous with technology adoption. Yet after years of ...
From AI Hype to AI Assurance: How Engineering Teams Can Safely Ship AI-Enabled Software
Olamilekan Lamidi | | AI assurance, AI Governance, AI testing, generative AI, MLOps, software engineeringAI has moved very quickly from experimentation to production. A few years ago, many organizations were still asking whether AI could improve their products or internal workflows. Today, the question is different: ...
IBM Bob Gets Multi-Agent Muscle and a Cost Dashboard for Enterprise Coding
IBM Bob adds multi-agent coordination, cost analytics, and modernization workflows for IBM Z, IBM i, and Java as AI governance takes center stage ...
Reliability Comes From the System, Not the Agent
Andrew Filev | | AI agent reliability, AI agents, AI Governance, Enterprise AI, Operational Excellence, workflow designOne of the most common questions executives ask right now sounds straightforward: is the agent reliable enough yet? It feels like the right place to start, but the framing quietly points people ...
Anthropic Adds Enterprise Gateway to Simplify Claude Code Access on AWS and Google Cloud
Tom Smith | | AI coding tools, AI Governance, cost control, Enterprise AI, Google Workspace, identity management, OTLP, policy enforcement, self-hosted gateway, single sign-on, spend caps, spend management, SSO, telemetry, usage trackingAnthropic's new Claude apps gateway brings SSO, central policy, and spend caps to Claude Code on Amazon Bedrock and Google Cloud ...
OpenAI Codex – A New Frontier in Application Modernization
Saurabh Aggarwal | | AI Governance, AI powered application migration, devops, GenAI for modernizationFor enterprises, modernizing their legacy applications landscape is a strategic imperative to enable agility, be cost-efficient, and bring innovation. Yet, despite hefty investments, many modernization initiatives fade away. Studies show that 79% ...
Qodo Extends Reach and Scope of AI Code Review Platform
Qodo this week extended its platform for managing code quality and governance to enable an artificial intelligence (AI) agent to review code spanning multiple repositories. Additionally, version 2.8 of the Qodo platform ...
Still Using API Keys for Your AI Agent? Here’s When it’s Time to Upgrade
Rishi Bhargava | | agent security, agentic AI, AI agent, AI Governance, AI security, API Keys, identity and access management, OauthAPI keys got you here. They won’t get you where you’re going. OAuth isn’t a future upgrade. It’s the foundation your agents should have been built on from the start. ...
Agentic DevSecOps: AI Security Co-Pilots for Your CI/CD Pipeline
Joydip Kanjilal | | agentic AI, AI copilots, AI Governance, AI incident response, AI pipeline management, AI security, AI security agents, AI threat detection, AI vulnerability scanning, AI-driven security, AI-powered DevSecOps, application security, autonomous AI agents, autonomous security testing, CI/CD security, Cloud Security, continuous security monitoring, cybersecurity automation, devops security, devsecops, devsecops automation, infrastructure security, intelligent automation, real-time threat intelligence, SDLC security, Secure software delivery, security automation, security operations, security orchestration, security posture management, software development lifecycle, software security, threat remediationThe emergence of AI has brought endless possibilities and innovative opportunities in today’s ever-changing, fast-paced technology landscape. AI is helping development teams produce software significantly faster than ever before. AI-enabled DevSecOps tools ...
The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure
Jyostna Seelam | | AI architecture, AI compliance, AI Governance, AI guardrails, AI infrastructure, AI monitoring, AI observability, AI operations, AI operations strategy., AI performance metrics, AI platform monitoring, AI reliability, AI resilience, AI safety, AI SLIs, AI SLOs, AI system reliability, AI telemetry, AI trust, Enterprise AI, generative AI monitoring, guardrail intervention rate, hallucination detection, LLM monitoring, LLM observability, modern SRE, non-deterministic systems, Observability Engineering, OpenTelemetry, platform engineering, production AI, RAG observability, RAG systems, semantic drift, site reliability engineering, SRE, time to first token, token throughput, TTFT, vector database monitoringIn complex software systems, our traditional definition of operational health has always been comfortably binary. For over a decade, site reliability engineering (SRE) teams have relied on the industry-standard ‘Four Golden Signals’ ...
