Control the Attacker’s Reality

HoneyPaths are deceptive paths that guide attackers toward controlled, instrumented routes instead of real attack paths. In 360 Deception, HoneyPaths evolve over time as part of Dynamic Deception, making yesterday’s map unreliable today. This helps expose adversaries earlier, slows lateral movement, and gives defenders higher-confidence signals tied to attacker behavior rather than generic anomalies.

Acalvio’s 360 Deception approach has been validated through both operational testing and analyst recognition. In the U.S. Navy’s Cyber Resilient Systems Advanced Naval Technology Exercise, Acalvio delivered 100% true positives and denied 80% of attacker objectives. Gartner also identified Acalvio as the company to beat in AI-powered cyber deception, a recognition distinct from its earlier Gartner mention in preemptive cybersecurity.

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.

Deception excels where traditional detection fails: identifying silent lateral movement, credential misuse, and insider threats. Since decoys are not part of normal operations, any interaction is inherently suspicious. This results in high-confidence alerts that are resistant to evasion techniques, helping security teams detect stealthy intrusions and advanced persistent threats (APTs) that would otherwise go unnoticed.

Acalvio integrates seamlessly with platforms like CrowdStrike Falcon® Identity Protection, Splunk, Microsoft Sentinel, and other SIEM/SOAR solutions. These integrations enable automated fulfillment of deception assets, real-time alerting, and orchestration of containment actions—enhancing your existing security stack with deception-powered early detection and response.

By generating high-fidelity alerts the moment attackers engage with deceptive assets, deception reduces detection delays—dramatically lowering dwell time. These alerts come with rich context, enabling faster and more confident response.

Deception delays attacker movement by luring them to decoys, providing early warning and enabling defenders to contain threats before they reach critical assets.

Traditional tools rely on known patterns and signatures, making them ineffective against unknown, low-and-slow, or insider threats. Deception provides a behavior-independent signal—triggered purely by intent.

It uses deception to uncover stealth tactics like lateral movement and privilege escalation across IT, OT, and cloud environments—delivering high-fidelity alerts with minimal noise.

ShadowPlex gathers intel directly from attacker interactions, offering real-time insights into tools, techniques, and infrastructure being used against your organization.

By using native cloud APIs to deploy and monitor honeytokens across cloud-native services and IAM, ShadowPlex delivers agentless, multi-cloud threat detection.

Canary tokens are simple tripwires. Acalvio’s Honeytokens are context-aware, automatically deployed, and tightly integrated for enterprise-scale visibility and response.

They cover blind spots traditional controls miss—like service accounts and machine credentials—triggering alerts the moment they’re touched.

AI-driven automation recommends and deploys deception artifacts across your environment, blending them into existing systems for stealth and effectiveness.

Breakout time measures how fast attackers move laterally after initial access. Slowing or detecting this movement is critical to stopping escalation and limiting damage.