SD-Cyber Deception

Cyber Deception deploys decoys, honeypots, and lures throughout your network that mimic real assets. When an attacker interacts with a decoy, you receive an immediate high-fidelity alert — with zero false positives, since only attackers (not legitimate users) would touch these fake assets.

Traditional tools detect threats based on signatures or behavioural patterns — generating many false positives. Cyber deception is different: because only attackers interact with decoys, every alert is real. It also detects lateral movement and insider threats that evade perimeter tools entirely.

Enterprise cyber deception platforms deploy a variety of decoys and lures across the network to attract and detect attackers at every stage of the kill chain:

• Decoy servers and services: Fake RDP, SSH, SMB, and web servers that appear legitimate but alert on any connection attempt
• Decoy credentials: Fake usernames and passwords planted in browser stores, memory, and configuration files — any use immediately signals credential theft
• Decoy files and documents: Fake sensitive documents (contracts, financial data, passwords) with embedded tracking that alerts when opened or accessed
• Decoy network shares: Fake file servers containing enticing content — any access triggers an alert
• Breadcrumbs: Fake cached credentials, registry entries, and configuration snippets that lead attackers toward decoys rather than real assets
• Decoy Active Directory objects: Fake user accounts and service principals to detect AD reconnaissance and privilege escalation attempts

Lateral movement — where an attacker who has gained initial access moves through the network to reach high-value targets — is one of the hardest attack phases to detect with traditional security tools, because it often uses legitimate credentials and system tools (Living off the Land).

Cyber deception technology is uniquely effective at detecting lateral movement because decoys and breadcrumbs are distributed throughout the internal network. Any attacker moving laterally will inevitably encounter and interact with decoy assets — accessing a fake file share, using a planted credential, or connecting to a decoy server — triggering an immediate, high-fidelity alert with zero false positives. Since no legitimate user should ever interact with decoys, any interaction is by definition suspicious. This provides detection coverage across the network interior that complements perimeter-focused tools like firewalls and IDS.

Yes. Modern cyber deception platforms are designed to operate across cloud, on-premises, and hybrid environments. In cloud environments (AWS, Azure, GCP), deception technology deploys decoy instances, storage buckets, IAM credentials, and API endpoints that blend into the cloud infrastructure and alert on any attacker interaction. In hybrid environments, deception covers both the on-premises network and cloud workloads, providing consistent visibility across the entire attack surface.

Cloud-native deception is particularly valuable for detecting cloud-specific attack patterns, including: compromised cloud access keys, S3/blob storage enumeration, IAM privilege escalation attempts, and serverless function abuse. For Malaysian organisations accelerating cloud adoption, extending deception coverage to cloud environments ensures threat detection keeps pace with infrastructure growth.