Four Core Capabilities That Power Preemptive Cloud Defense
- Detect lateral movement and credential misuse inside VMs, containers, and serverless functions
- Deploys agentlessly via cloud-native APIs to scale across cloud platforms without disruption
- Capture real-time behavior and intent through deception interaction
- Deliver high-fidelity alerts that expose real threats—faster and with less noise
- Detect misuse of IAM roles, credentials, and secrets during early attack stages
- Insert deception into identity paths to expose privilege escalation and lateral access
- Unify threat detection across AWS, Azure, and GCP with no agents or added complexity
- Eliminate visibility gaps across workloads, services, and cloud identity layers

Cloud Workload Protection
- Provides preemptive detection of threats across VMs, containers, and serverless functions
- Uses deception to uncover lateral movement, credential misuse, and privilege escalation
- Deploys agentlessly using native cloud APIs for seamless integration at scale
- Delivers high-fidelity alerts early—without disrupting workload performance

Cloud Identity Threat Protection
- Enables preemptive detection of credential misuse and privilege escalation in IAM paths
- Places deception in identity repositories like Instance Metadata and Secrets Store
- Reveals unauthorized access attempts during reconnaissance and lateral movement
- Operates without disrupting legitimate identity operations or cloud-native workflows

Attacker Signals
- Provides preemptive visibility into attacker behavior and intent through deception interaction
- Identifies credential misuse, lateral movement, and privilege escalation early in the kill chain
- Filters out noise by delivering high-fidelity, context-rich alerts
- Equips security teams with actionable insights grounded in real attacker activity—not assumptions

Multi-Cloud Detection
- Unifies visibility and early threat detection across AWS, Azure, and GCP
- Integrates natively with cloud APIs to deploy deception without agents or added complexity
- Closes visibility gaps in cloud workloads, services, and IAM infrastructure
- Ensures consistent protection across workloads, services, and identity layers while delivering early, actionable alerts
Frequently Asked Questions
Deception-Based Preemptive Cybersecurity is a proactive defense strategy that uses deceptive artifacts—such as decoys, honeytokens, and fake credentials—to detect attackers already inside the network. These deception layers operate across endpoints, identity systems, and cloud workloads. Because the decoys have no business value, any interaction is a reliable indicator of malicious activity, enabling early, accurate detection and timely response—before adversaries reach their objectives.
Traditional tools often rely on known signatures or behavior tied to real assets—limiting their effectiveness against unknown threats, insider activity, or credential misuse. Preemptive Cybersecurity adds a new dimension of defense by detecting early-stage attacker activity through interaction with deceptive assets. It provides high-fidelity alerts, improves lateral movement visibility, and reduces dwell time—enabling defenders to act earlier and with greater precision.
Honeytokens are deceptive credentials and data artifacts embedded in legitimate systems, such as OS caches or cloud workloads. Honeytoken accounts are fake user or service accounts. Any interaction with these assets is a high-fidelity indicator of malicious activity—making them essential tools for detecting identity threats like lateral movement and credential misuse.
Built for Cloud Security Teams. Focused on Preemptive Defense.

- Detect threats early—before lateral movement or credential abuse escalate.
- Stop identity-based and workload-targeted attacks with deception-driven visibility.

- Use native cloud APIs to deploy deception across AWS, Azure, and GCP—no agents, no friction.
- Protect every layer of your cloud infrastructure without changing how it’s built.

- High-Fidelity Alerts Without Operational Noise
- Accelerate response with verified signals that reduce false positives and investigation time.