Project Perception combines multiple AI models in an agent-based system to identify vulnerabilities, simulate attacks, detect threats, and automatically develop remediation plans.
Project Perception automates threat analysis, vulnerability detection, and remediation through specialized AI agents using a multi-model approach, reducing processes from several hours to minutes.
Attackers can steal Microsoft 365 accounts from guests through DNS poisoning on compromised Wi-Fi gateways without touching their devices or the corporate network.
Attackers compromise Wi-Fi gateways on travel networks to steal Microsoft 365 accounts via DNS redirection — an attack surface below endpoint visibility with potential for account cascades in enterprise networks.
AI glasses intensify existing data exfiltration risks through a lower abuse threshold, but enforcement of bans fails technically, legally, and practically.
Dysphoria replaces centralized C2 infrastructure with blockchain name services and device relays, reducing the effectiveness of law enforcement disruptions.
Attackers circumvent automated security systems by analyzing publicly available detection rules rather than exploiting zero-days—requiring CISOs to protect their detection logic more rigorously.
