May 7 · 5 min read · Introduction: Integrating incident response and automation platforms is becoming more and more important in the dynamic industrial sector, where productivity and efficiency are critical. These creativ
Join discussion
May 4 · 16 min read · TL;DR: AI agents need memory, but enterprise memory must be governed, reviewable, and auditable. Here is why canonical docs should come before vector databases. AI agents that remember are no longer a research curiosity. They are in production, writ...
Join discussion
May 4 · 4 min read · Digital trust in ticketing systems means ensuring secure payments, authentic tickets, and seamless entry experiences without friction or uncertainty. In museums, exhibitions, and events, ticketing is
Join discussion
May 3 · 12 min read · TL;DR: A practical incident response playbook for AI-specific failures: hallucinations, data leaks, agent overreach, and production breaks from AI tooling. Why this matters: every engineering leader, CTO, and head of engineering running coding agent...
Join discussion
May 3 · 11 min read · TL;DR: Seven security controls every CTO should verify before expanding coding agent access: access model, secrets, review gates, sandboxing, and audit trail. Why this matters: a coding agent rolled out without controls turns every new engineer into...
Join discussion
May 3 · 10 min read · TL;DR: What an effective AI acceptable use policy covers: data classification, model tiers, prompt hygiene, and escalation triggers for engineering organisations. Why this matters: an AI acceptable use policy that engineers actually reference is the...
Join discussion
May 3 · 12 min read · TL;DR: Detect unsanctioned AI tool usage in engineering teams, classify the risk, and decide what to govern, adopt, or block as a CTO or engineering leader. Why this matters: shadow AI is the use of unapproved AI tools (personal API keys, browser-ba...
Join discussionMay 3 · 13 min read · TL;DR: A practical framework for CTOs building an AI security posture: identity, permissions, data boundaries, review gates, and incident readiness. Why this matters: every engineering organisation that adopts coding agents, LLM APIs, and managed ag...
Join discussion
