The Ultimate Preemptive Cybersecurity Solution

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.