Key Takeaways
Deception platforms vary in focus, including identity protection, adversary intelligence, ransomware defense, and integrated detection and response.
Buyers should prioritize coverage across networks, endpoints, identities, cloud, IoT, and OT based on their actual attack surface.
Automated discovery and adaptive deception help keep decoys and breadcrumbs realistic as infrastructure and attack surfaces change.
Strong security integrations allow deception alerts to support investigation, correlation, containment, and broader incident response workflows.
Buyers should evaluate the quality of attacker intelligence, including visibility into reconnaissance, lateral movement, tools, targets, and TTPs.
Choosing among the top deception technology solutions in 2027 requires comparing how each platform approaches coverage, automation, threat intelligence, and security integration. For security teams comparing deception technology vendors, the differences matter. Some platforms focus primarily on identity deception, others on adversary engagement or ransomware detection, while broader solutions connect deception signals with network and endpoint activity to support investigation and response.
To compare the solutions below, we reviewed information about each platform’s deception capabilities, supported environments, deployment approach, integrations, automation, and threat detection features. The comparison focuses on how each solution uses deception to identify attacker activity, where it can be deployed, how it fits into existing security operations, and the capabilities that differentiate it from other platforms. This provides a consistent basis for understanding the strengths and focus areas of each solution.
Deception Technology Solutions: Quick Comparison
SolutionEnvironment / Asset DiscoveryDeception Automation & AdaptationCoverageIdentity / Credential DeceptionAttacker IntelligenceDetection & Response Integration
Fidelis DeceptionAutomated cyber terrain mapping; profiles and classifies assets and communication patternsAutomatically creates, deploys, tests, and updates decoys to reflect environmental changesNetwork, endpoint, cloud/hybrid, identity, IoT/OT and other enterprise assetsFake accounts, planted credentials, deceptive data and breadcrumbsHigh-fidelity attacker activity and intelligenceStandalone or integrated with Fidelis Elevate; deception signals enriched with network, endpoint, sandbox and threat contextAcalvio ShadowPlexEnvironment-aware deception; broad enterprise deploymentAI-driven, autonomous deception designed to adapt in real timeIdentity, cloud, network, endpoint, OT/ICS; hybrid and multi-cloudStrong focus; deceptive privileged credentials and identity assetsThreat and attacker intelligenceVendor-agnostic integrations with security operations toolsFortinet FortiDeceptorActive/passive asset discovery, asset inventory and optimized decoy-placement recommendationsDynamic decoys; asset-matched deployment and on-demand deception deploymentIT, OT, IoT/IoMT, cloud and network environmentsAD decoys, tokens and stolen-credential detectionDetailed forensics; IOC and TTP collectionFortinet Security Fabric plus SIEM, SOAR, EDR, NAC and sandbox integrationsCounterCraftCreates controlled deceptive environments that mimic the organization’s operational landscapeCustomizable deception environments and scenariosOn-premises, cloud and hybrid environmentsNot positioned primarily around identity deceptionMajor focus: real-time adversary intelligence, TTPs, MITRE ATT&CK and IOC enrichmentThreat intelligence and alerts can feed existing security workflowsZscaler DeceptionDeception strategies can be configured around organizational requirementsConfigurable deployment of decoys and deceptive attack pathsPublic-facing endpoints, network, cloud and Active DirectoryStrong AD/identity deception capabilitiesHigh-fidelity threat intelligence from deception interactionsFits into Zscaler’s broader security/Zero Trust environmentRapid7 InsightIDR DeceptionUses intruder traps and deception assets rather than broad environment mappingDeploys honeypots, Honey Users, Honey Files, and Honey Credentials as deception trapsInternal networks, endpoints, Active Directory, and AWS VPC environmentsHoney Users and Honey Credentials help detect credential harvesting, misuse, and identity-based attacksHigh-confidence alerts from interactions with deceptive assets, including reconnaissance and lateral movement activityDeception alerts integrate directly with InsightIDR detections and investigationsCommvault ThreatwiseFocused on deceptive threat sensors rather than broad environment mappingRapid deployment and cloud-delivered deceptionIT, OT, network, on-prem, cloud and backup environmentsNot positioned primarily as an identity-deception platformReal-time insight into reconnaissance, lateral movement and active threatsClosely integrated with cyber resilience, data protection, remediation and recovery
1. Fidelis Deception®
Fidelis Deception® combines automated cyber terrain mapping with adaptive deception to align decoys and breadcrumbs with the organization’s actual attack surface. It profiles and classifies assets and communication patterns, then uses that context to create, deploy, test, and update deception as the environment changes. This reduces reliance on manually maintained, static traps.
Coverage extends across on-premises, cloud, endpoint, container, IoT, and OT environments, making Fidelis Deception suitable for complex hybrid infrastructures. This can be particularly relevant to government and public-sector organizations managing a mix of legacy systems, cloud resources, operational technology, and distributed infrastructure. Fidelis also supports realistic decoys and a broad range of breadcrumbs, including deceptive credentials, documents, files, registry keys, applications, and system resources, to expose reconnaissance, credential misuse, and lateral movement.
Fidelis Deception can be deployed as a standalone deception solution or integrated with Fidelis Elevate when organizations want to enrich deception alerts with broader network, endpoint, sandbox, and threat context
Key capabilities:
Automated cyber terrain mapping and asset profiling
Adaptive creation and deployment of deception assets
On-premises, cloud, IoT, OT, endpoint, and container coverage
Realistic decoys across enterprise infrastructure
Extensive breadcrumbs and deceptive credentials
Identity and credential deception
Reconnaissance and lateral movement detection
Attacker behavior and TTP collection
Network, endpoint, and sandbox correlation through Fidelis Elevate
Real-World Performance Data
Avoiding False Savings
Why Fidelis Outperforms the Competition
2. Acalvio
Acalvio ShadowPlex provides deception across identity, endpoints, networks, cloud, and OT/ICS environments, making it suitable for large and distributed hybrid infrastructures. The platform uses decoys, breadcrumbs, lures, honeytokens, and other deceptive artifacts to create detection opportunities during reconnaissance, credential misuse, and lateral movement.
Automation is a central part of ShadowPlex. Its AI-driven approach helps deploy and adapt deception across changing environments, reducing the manual effort involved in maintaining deceptive assets at scale. Acalvio also places significant emphasis on identity deception, using deceptive identities, credentials, and Active Directory-related artifacts to detect identity-based attacks.
For security operations, attacker interactions with deceptive assets can provide threat intelligence and high-confidence signals that can be integrated into broader security workflows. This makes Acalvio particularly relevant to enterprises prioritizing scalable deception and identity-focused detection across complex environments.
Key capabilities:
Automated cyber terrain mapping and asset profiling
Network, endpoint, identity, cloud, and OT/ICS coverage
Decoys, breadcrumbs, lures, and honeytokens
Identity and Active Directory deception
Reconnaissance and lateral movement detection
Attacker engagement and threat intelligence
Integration with broader security operations tools
Support for large and distributed environments
3. Fortinet FortiDeceptor
FortiDeceptor focuses on identifying malicious activity occurring inside the network by deploying deceptive assets that attract attackers during reconnaissance and lateral movement. The solution is designed to detect activities such as stolen credential use, ransomware behavior, man-in-the-middle attacks, reconnaissance, and attempts to move between systems.
FortiDeceptor extends deception beyond traditional enterprise IT to IoT and operational technology (OT) environments. It can emulate specialized assets and services found across these environments, helping organizations detect suspicious activity targeting critical infrastructure. This broader coverage makes it relevant for organizations comparing network deception solutions for OT environments, particularly where IT and operational systems need to be protected within the same security strategy.
Interactions with deceptive assets generate alerts and attacker activity can then be analyzed to provide additional threat intelligence. FortiDeceptor is also particularly relevant to organizations already operating within the broader Fortinet security ecosystem because deception events can complement other security controls and response processes.
Key capabilities:
Network deception and decoy deployment
IT, IoT, OT, and cloud deception
Detection of lateral movement
Stolen credential detection
Ransomware and reconnaissance detection
Real-time alerting
Threat intelligence generated from attacker interactions
Integration with the broader Fortinet security ecosystem
4. CounterCraft
CounterCraft uses realistic deceptive environments and digital twins to detect attacker activity and collect intelligence on adversary behavior. These controlled environments are designed to resemble an organization’s real infrastructure, giving attackers believable systems and assets to interact with while allowing defenders to observe their actions without exposing production resources.
Beyond generating alerts, CounterCraft captures information about attacker techniques, tools, objectives, and behaviors. This can provide security teams with TTPs, indicators of compromise, and MITRE ATT&CK-aligned intelligence that can support threat hunting and investigation. The platform also supports customizable deception campaigns and can be deployed across on-premises, cloud, and hybrid environments.
CounterCraft’s emphasis on adversary engagement and threat intelligence makes it particularly relevant for organizations that want to study attacker behavior after initial interaction with deceptive assets. The resulting intelligence and alerts can also be integrated into existing security operations and threat intelligence workflows.
Key capabilities:
High-interaction deception environments
Customizable decoys and traps
Attacker behavior monitoring
Threat intelligence collection
Network and endpoint deception
Lateral movement detection
Adversary engagement and analysis
5. Zscaler Deception
Zscaler Deception is a cloud-delivered deception solution built into the Zscaler Zero Trust Exchange. Its coverage extends across the perimeter, applications, endpoints, Active Directory, cloud, and OT/IoT environments, allowing organizations to deploy deception across multiple parts of a hybrid attack surface with minimal on-premises computing requirements.
The platform provides built-in network, endpoint, Active Directory, cloud, and threat intelligence decoys that mimic production assets and create fake attack paths. These deceptive assets help expose reconnaissance, credential attacks, lateral movement, ransomware, APTs, and attacks targeting SCADA/ICS environments. Zscaler also supports customizable decoys and datasets to make deceptive environments more realistic and scalable.
When an attacker interacts with a decoy, Zscaler captures reconnaissance activity and threat intelligence in real time and generates high-confidence alerts. ThreatParse reconstructs and summarizes attack activity to help analysts understand attacker actions and intentions. Based on these signals, organizations can also build automated orchestration rules to contain threats and deploy additional decoys to validate remediation.
Key capabilities:
Perimeter, application, endpoint, AD, cloud, and OT/IoT coverage
Network, endpoint, AD, cloud, and threat intelligence decoys
Customizable decoys and realistic deceptive datasets
Fake attack paths and identity-focused deception
Reconnaissance and lateral movement detection
Real-time attacker intelligence and high-confidence alerts
ThreatParse attack reconstruction and investigation support
Automated orchestration and response
6. Rapid7 InsightIDR Deception
Rapid7 provides deception technology within InsightIDR, using intruder traps to detect suspicious activity after an attacker begins exploring the environment. Its deception capabilities include honeypots, Honey Users, Honey Files, and Honey Credentials, which create fake systems, identities, data, and credentials that legitimate users should have no reason to access. Interaction with these assets triggers detections and investigations in InsightIDR.
Coverage is primarily focused on internal network and identity-based activity. Honeypots can detect network reconnaissance and connection attempts, while Honey Users provide Active Directory deception. Honey Credentials inject fake credentials into Windows endpoint memory to expose credential harvesting and pass-the-hash activity. Rapid7 also supports AWS honeypots for monitoring lateral movement and reconnaissance within VPC environments.
Key capabilities:
Honeypots for network reconnaissance and access detection
Honey Users for Active Directory deception
Honey Files for detecting suspicious access to sensitive-looking data
Honey Credentials for detecting credential harvesting and misuse
Detection of lateral movement and internal reconnaissance
AWS honeypots for VPC environments
7. Commvault Threatwise
Commvault Threatwise approaches deception from a cyber resilience perspective, using cyber deception technology to identify threats before attackers can compromise critical systems or data. It deploys authentic threat sensors that mimic real IT, OT, network, and backup assets, creating false resources designed to attract and divert attackers away from production environments.
Threatwise focuses heavily on early-warning detection. Interactions with deceptive assets can expose reconnaissance, lateral movement, unwanted privileged access, ransomware, and other advanced attacks that bypass conventional security controls. The platform provides real-time visibility into this activity, helping security teams investigate and respond before attackers progress to encryption, data exfiltration, or other damaging actions.
Deployment and scalability are also central to the platform. Threatwise is cloud-delivered and designed to deploy and scale deception quickly across on-premises, cloud, and backup environments. AI-guided recommendations can assist with intelligent decoy placement, while integrations with other security solutions allow deception signals to contribute to broader response workflows.
Key capabilities:
Early-warning ransomware and cyberattack detection
Authentic threat sensors that mimic IT, OT, network, and backup assets
Attacker diversion using deceptive resources
Reconnaissance and lateral movement detection
Detection of unwanted privileged access
Real-time threat visibility and precision alerts
AI-guided recommendations for decoy placement
What Should Organizations Look for in a Deception Technology Solution in 2027?
A comparison of top deception technology solutions should look beyond individual feature lists and assess how effectively each platform supports an organization’s infrastructure, attack surface, security workflows, and threat detection priorities. When evaluating the best deception technology software, organizations should remember that the strongest deception platform is not necessarily the one that deploys the largest number of decoys. Organizations should evaluate how effectively deception represents their real infrastructure and whether it can continue doing so as that infrastructure changes. Each deception technology vendor should also be evaluated based on how well its platform integrates with the organization’s existing detection, investigation, and response workflows.
Coverage across the attack surface is critical. Modern cyber deception solutions should extend beyond traditional networks to identities, endpoints, cloud workloads, containers, IoT, and, where relevant, OT environments.
Automation and adaptability are equally important. Static deception assets can become less effective as environments evolve. Platforms that discover infrastructure and dynamically adapt deception can reduce management overhead while maintaining authenticity.
Identity deception should also receive greater attention. Attackers increasingly use legitimate credentials to move through environments, making deceptive accounts, credentials, and identity artifacts valuable detection points.
Organizations should also examine integration with detection and response workflows. A deception alert becomes considerably more useful when analysts can correlate it with endpoint activity, network traffic, identity events, threat intelligence, and other telemetry. When comparing top deception-based breach solutions, organizations should consider whether deception-generated signals can contribute directly to investigation, containment, and broader incident response processes.
Finally, evaluate the quality of attacker intelligence produced by the platform. Knowing that someone interacted with a decoy is useful; understanding their reconnaissance behavior, attempted lateral movement, tools, targets, and TTPs gives defenders significantly more information for investigation and future defense.
Post-Breach Detection
and Response
The Shift to Detection and Response
Rise of Deception Defense
Detect Post-breaches 9x Faster
Conclusion
Deception technology has become an important part of modern threat detection by helping organizations identify attackers who bypass traditional security controls. The leading deception technology solutions in 2027 offer capabilities such as decoys, breadcrumbs, credential deception, lateral movement detection, automated response, and integration with broader security platforms. The right solution will depend on an organization’s infrastructure, security priorities, existing technology stack, and operational requirements. When evaluating deception technology vendors, security teams should consider the breadth of deception coverage, deployment complexity, quality of alerts, integrations, scalability, and ability to provide actionable threat context.
Ultimately, deception technology is most effective when it complements existing endpoint, network, identity, and cloud security controls, giving defenders another layer of visibility into attacker behavior and helping them detect threats earlier in the attack lifecycle.
Frequently Asked Questions
What should I look for when choosing a deception technology vendor?
Look beyond the number of decoys a platform can deploy. Evaluate how well the solution represents your actual environment, covers network, endpoint, identity, cloud, IoT, and OT assets where required, adapts as the environment changes, and integrates deception alerts into existing detection and response workflows.
How is Fidelis Deception different from standalone deception tools?
Fidelis Deception combines deceptive assets and breadcrumbs with automated cyber terrain mapping and risk analysis. It can also operate within Fidelis Elevate, allowing deception intelligence to be correlated with network, endpoint, and sandbox telemetry for broader investigation and response.
Can deception technology detect lateral movement?
Yes. Deception can expose lateral movement when attackers interact with deceptive credentials, systems, files, services, or other assets while exploring an environment. Because legitimate users should not normally interact with these assets, the resulting alerts can provide a high-confidence signal for security teams.
Can deception technology work in hybrid and cloud environments?
Modern deception platforms can extend beyond traditional networks into cloud workloads, endpoints, identities, containers, IoT, and other hybrid infrastructure. Organizations should verify the specific environments supported by each vendor before making a selection.
Should deception technology integrate with XDR?
Integration can significantly increase the operational value of deception. Correlating a deception alert with endpoint, network, identity, or other security telemetry helps analysts understand what happened before and after the interaction and determine whether it is part of a broader attack.
The post Top Deception Technology Solutions to Consider in 2027 appeared first on Fidelis Security.
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