Expose Credential-Based Incursions Without Disrupting Identity Systems
- AI-generated deceptive identities in AD and cloud to expose attackers on contact
- Trigger high-confidence alerts on credential misuse, escalation, or lateral moves
- AI-curated credentials in memory, caches, cloud workloads, and applications
- Detect theft and reconnaissance early without touching identity stores
- Seed admin-level bait in endpoints and cloud environments
- Expose privilege escalation attempts instantly—no risk to real accounts
- Analyzes attacker queries and behavior targeting AD environments.
- Correlates deceptive activity with AD signals to boost detection precision.
- Monitor deceptive assets across identity systems—including Active Directory
- Highlight real threats like lateral movement and privilege abuse with precision
- Maps exposed identity assets across endpoints, cloud, and AD environments.
- Closes detection gaps and informs optimal placement of deception assets.

Decoy Honey Accounts
- Deploy deceptive user and service accounts that blend into AD, Azure AD, and cloud directories
- AI-powered realism fools attackers and immediately exposes credential misuse and lateral movement
- Provide early, high-confidence alerts without touching real identity infrastructure
- Reduce attacker dwell time and improve threat visibility across the identity plane

Targeted Honeytokens
- AI-created credential artifacts placed in memory, OS caches, cloud workloads, and applications
- Planted in attacker-accessible locations to detect reconnaissance and credential theft
- Trigger immediate, high-confidence alerts on any interaction—without modifying identity stores
- Provide broad attacker visibility with zero impact to operational systems

Deceptive Privileged Credentials
- AI-generated admin-level credentials planted in endpoints and cloud environments to lure attackers
- Appear valid but are non-functional—any attempt to use or extract them triggers alerts
- Detect privilege escalation and lateral movement attempts before real accounts are touched
- Deliver early warning with no risk to production systems or identity infrastructure

Unauthorized Access Detection
- Uses AI-powered deception to monitor interaction with deceptive cDetects unauthorized access attempts across endpoints, cloud, and identity systems
- Credentials and identity assets
- Surfaces high-confidence alerts for credential misuse, privilege escalation, and lateral movement
- Reduces alert fatigue by filtering noise and focusing response on verified attacker activity

Attack Surface Management
- Map and monitor exposed identity assets across endpoints and infrastructure
- Identify gaps in identity hygiene that attackers could exploit
- Improve security posture with proactive visibility grounded in preemptive cybersecurity principles
- Strengthen deception placement for earlier and more accurate detection

Active Directory Signals
- Analyze attacker queries and interactions with deceptive AD assets
- Reveal early indicators of credential misuse, reconnaissance, and lateral movement
- Correlate deceptive activity with real AD signals to boost detection accuracy
- Deliver context-rich insights to gain actionable insights and accelerate investigation and response
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.
Three Core Enterprise-wide Benefits

- Detect and respond to credential-based incursions before they escalate.
- Use AI-powered deception to stop lateral movement and privilege abuse early.

- Extend Zero Trust to identity systems with continuous threat detection.
- Validate access attempts through deceptive assets—without disrupting operations.

- Protect hybrid identity environments across endpoints, cloud, and AD.
- Gain high-fidelity alerts and full visibility—without manual overhead or alert fatigue.