Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Introducing LimaCharlie Email Security. It connects to Microsoft 365 or Google Workspace through the provider's API, with no MX change and nothing in the delivery path, and shows the signals behind its verdicts. This walkthrough follows one malicious email from its 94/100 verdict through how the score compounds, a benign contrast with its measured processing timeline, the evidence, link analysis, response at the provider, hunting across the organization, groups and campaigns, user reports, the rule that caught it, policy, and email as telemetry for detection and response rules.

Academic deepfake datasets rarely static: generate an image, label it real or fake, done. Real-world fraud doesn't hold still. Zhaofeng Si, a PhD student at University at Buffalo and research scientist intern at Persona, breaks down the gap. Public academic datasets are mostly typical face swaps and diffusion-model-generated images with a fixed label. In the real world, there's an attack-and-defense loop. Fraudsters actively probe for ways to bypass detection, so defenses have to keep adapting instead of training against a static benchmark.

The most expensive words in a startup sales call? We'll. Get. Back. To. You.