Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

See how Aurora Endpoint Defense uses predictive AI and behavioral detection to deliver powerful, outcome-driven endpoint protection. This demo highlights key features like alert triage, threat prevention, and automated response—all designed to simplify and strengthen your security posture.

This video, originally created by Wesley from ByteGrad, walks through how to secure your applications using Mend.io’s AI-Native AppSec Platform — including SAST, SCA, and SBOM scanning. Wesley explores how Mend integrates with GitHub, automates code fixes, and helps developers stay ahead of vulnerabilities. Creator: ByteGrad YouTube Channel Timestamps.

The AI arms race in deepfake detection has a critical problem: the technology can't keep up. In this episode, Navroop Mitter, CEO of ArmorText, discusses why the industry is shifting away from relying on AI detection alone. A recent study from SKKU in South Korea found that zero out of sixteen top deepfake detection technologies could reliably identify deepfakes in real-world conditions. They worked fine in controlled lab settings, but failed when it mattered most.

From identification to remediation to drift management. When Reach flags an exposure, it doesn’t stop there. It shows exactly how much risk you’ll reduce by fixing it — and what impact it’ll have on users. In this short demo, CRO Jared Phipps walks through how Reach:︎ Quantifies residual risk reduction (e.g., 62%, 91%, etc.)︎ Weighs that against user impact︎ Guides teams through the remediation process︎ Integrates with Jira or other ticketing systems to track fixes︎ Monitors configurations to prevent drift and maintain baselines.