NDC Conferences YouTube · May 4, 2026

AppSec Security: The SDLC in the age of agentic - Jon Mccoy - NDC Security 2026

AppSec Security: The SDLC in the age of agentic - Jon Mccoy - NDC Security 2026 video thumbnail
Why it matters

NDC Security 2026 talk on securing agentic systems through reference architecture, common risk analysis, and control prioritization for autonomous agents in the software development lifecycle.

My takeaway: AppSec Security: The SDLC in the age of agentic - Jon Mccoy - NDC Security 2026 is an agent-security signal. The practical read is to identify the delta between conventional application controls and agentic controls around autonomy, tools, permissions, and workflow ownership.
Keep exploring

More curated notes connected through Agent Security and AI Red Teaming.

OpenAI News · framework

Pacing model development in an era of cyber-critical capabilities

OpenAI says preliminary evidence that Astra may meet its Critical cybersecurity threshold led it to pause frontier reinforcement-learning work for two weeks and keep its largest planned run on hold. New safeguards include stronger workload and network isolation, continuous boundary testing, token-level monitoring that escalates suspicious tool activity, and broader alignment checks for deception, reward hacking, and unauthorized access.

OpenAI News · framework

A blueprint for democratic governance of frontier AI

OpenAI proposes a three-part U.S. frontier-AI governance model: harmonize emerging state safety laws into a federal baseline, strengthen CAISI as an evaluation and standards institution, and coordinate a broader resilience program. Proposed controls include severe-risk evaluations, transparency reports, independent audits, safety-incident reporting, model-weight security, whistleblower protection, and periodic technical assessments.

OpenAI News · framework

OpenAI’s Frontier Governance Framework

OpenAI's 22-page Frontier Governance Framework maps its frontier-model processes to California's Transparency in Frontier AI Act and the EU AI Act's general-purpose AI code. It documents lifecycle risk assessment, cyber-offense and other risk tiers, mitigation and residual-risk decisions, critical-incident handling, security risk management, model reporting, external review, responsibility allocation, and change control.