Petros Savvakis, in Part 3 of his 'From Prompt to Proof' series ahead of PyCon Greece 2026, demonstrates that letting a prompt injection succeed at the model boundary can still be blocked at the execu…
Agentic AI is being deployed across enterprise automation for site reliability engineering, finance reconciliation, and other domains, but requires deterministic safety constraints to prevent cascadin…
A developer detailed the emergence of 'Constitutions' for AI agent runtimes, formal policy layers that govern autonomous agent behavior, using the Ironclaw runtime as a case study. The approach uses d…
Rls-guard, a new open-source tool, generates and audits Postgres/Supabase row-level security (RLS) policies from a YAML spec, addressing misconfigured RLS that exposed 303 endpoints across 170 apps in…
A developer designed the AGY Witnessed Admission Fabric v0.1, a fail-closed, OPA-governed Read-Only OT shadow gate that prevents AI agents from executing unverified actions. The system uses Open Polic…
An enterprise cloud and AI architect warns that relying on system prompts to enforce policy boundaries in AI agents is not a security control, as probabilistic models can bypass prompt-level instructi…
Grab's cybersecurity and platform engineering teams built Palana, a Kubernetes-native secure execution platform, to safely run autonomous AI workloads by implementing deterministic guardrails and zero…
AI code scanners become trustworthy only when fed explicit threat models, according to a cross-domain analysis of autonomous systems. Production agents require distributed-systems rigor including idem…
A new guide for cloud architects outlines practical steps to govern AI in the cloud, addressing the growing threat of shadow AI. The guide emphasizes discovery, data classification, and policy-as-code…
IBM argues that the lack of AI governance is not just a compliance risk but a major efficiency problem, as ungoverned systems lack cost controls, audit trails, and policy enforcement. The company prop…