I would like to explore the leading deception technology tools used by cybersecurity teams to detect threats by deploying decoys, fake credentials, and simulated systems inside networks. Which platforms—such as Attivo Networks (SentinelOne Deception), Illusive (Proofpoint Illusive), Thinkst Canary, Acalvio ShadowPlex, and Fidelis Deception—are widely used by organizations to identify attacker activity and reduce dwell time? What important factors like realism of decoys, ease of deployment, integration with SIEM or EDR systems, alert accuracy, and scalability should be considered when evaluating these tools? Deception technology helps security teams detect ransomware, insider threats, credential misuse, and lateral movement by triggering alerts when attackers interact with decoy assets. Additionally, how do modern deception platforms compare with traditional security monitoring approaches in terms of early threat detection, automation, and overall effectiveness in complex enterprise environments?