Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Can OpenAI’s GPT 5.2 actually build a production-ready, secure application from a single prompt? In this video, we put the latest model to the test by asking it to build a full-stack Node.js note-taking app. We evaluate its dependency choices, dive into a surprising fix for a long-standing CSRF vulnerability, and run a full security audit using Snyk. Is this the new gold standard for AI coding models?

Cyberattacks are evolving fast; powered by AI, deepfakes, ransomware, phishing, and growing software supply chain risk. So how prepared is your organization? In this webcast, we breakdown key findings from the 2025 LevelBlue Futures Report (in partnership with FT Longitude). The report is based on a global survey of 1,500 C-suite and senior executives across 16 countries and seven industries, including healthcare, financial services, energy, and manufacturing.

AI isn’t creating new security problems, it’s exposing existing ones at scale. GitGuardian saw 24M secrets leaked on public GitHub last year (+25%), and private repos are far more likely to contain secrets because people get careless when they feel safe. AI also enables more non-developers to ship apps without security training and generates oversized PRs that can’t be realistically reviewed, increasing leak risk. Attackers increasingly don’t “hack”, they use leaked credentials to log in and blend in like normal users, making traditional incident response less effective.

Your security tools can detect credit card numbers, but they are blind to the files that actually matter. In this demo, we show how sensitive documents like: Internal source code Financial forecasts Performance reviews Customer lists are automatically detected and blocked in Slack, Google Drive, SharePoint, Gmail, and even ChatGPT using Nightfall’s new AI-powered file classifiers. No regex. No keywords. No training data.