--- title: Neo Reviews meta_title: 'Neo Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter reviews by the users' company size, role or industry to find out how Neo works for a business like yours. aggregate_rating: rating_value: 5.0 review_count: 1 scale: '5' date_modified: '2026-08-02' parent_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- # Neo Reviews **Vendor:** Neo Security **Category:** [AI Security Solutions Software](https://www.g2.com/categories/ai-security-solutions) **Average Rating:** 5.0/5.0 **Total Reviews:** 1 ## About Neo We prevent agentic threats across every device, browser, identity, and traditional application used in modern AI-driven enterprises. Neo hands control back to SecOps teams by revealing, understanding, and enforcing control of all human and non-human activity in real-time. ## Neo Reviews ### 1. Neo Brings Clarity and Control to Agentic AI Risk in the Enterprise **Rating:** 5.0/5.0 stars **Reviewed by:** Aswin K. | Full-Stack Developer Intern, Computer Software, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** August 01, 2026 **What do you like best about Neo?** The security problem Neo is solving is one that crept up on most enterprise security teams quietly and then became urgent very fast. AI capabilities didn't arrive in our environment through a single approved deployment, they arrived through Salesforce adding an autonomous agent feature, through employees installing browser extensions, through productivity tools quietly shipping agentic updates in the background. By the time we tried to get a handle on what agentic software was actually running across our environment, we realised we had no clean inventory, no consistent view of what those tools could access, and no policy layer that had been built with autonomous software behaviour in mind. Neo's platform gives security operations teams an inventory of AI agents, applications, browser extensions, plugins, Model Context Protocol servers, and traditional software that has quietly acquired agentic functions. That inventory capability alone addressed the most immediate gap, finally having a complete, continuously updated picture of what agentic software exists across the environment rather than a partial list assembled from approved procurement records that hadn't kept pace with how fast the landscape was changing. Neo's AI agents automatically discover software, analyse skills, summarise intended functionality and compare those findings with actual behaviour to identify malicious or deceptive software. That behavioural comparison intended function versus actual runtime behaviour is the detail that matters most from a risk intelligence standpoint. A browser extension that declares itself a productivity tool but is observed accessing credential stores behaves differently than its stated purpose implies, and Neo surfaces that discrepancy rather than taking the software's self-description at face value. The platform also reviews terms of service, requested permissions and data usage policies to determine whether applications train on enterprise information or request excessive privileges. That automated policy review layer is something our security team had been trying to do manually for approved AI tools and failing to keep up with, Neo operationalises it at the speed and scale that manual review can't match. Neo links actions to the responsible user, agent, application or identity and blocks activity deemed risky, which closes the attribution gap that makes agentic software so difficult to govern with traditional security tooling. When an autonomous agent takes an action using inherited user permissions, understanding whose permissions were used, which agent invoked them, and what the action chain looked like end to end is exactly what incident response needs and exactly what most security stacks currently can't provide. For a platform performing continuous real-time discovery and behavioural analysis across an enterprise software environment, performance is a legitimate concern, and Neo handles it better than expected given its stage. The on-device analysis architecture, which processes AI sessions locally rather than routing data through external cloud services, contributes to low-latency detection without the network overhead that cloud-relay approaches introduce. Inventory updates and risk posture changes reflect reasonably quickly when new software is detected or existing software behaviour shifts, which matters for a control layer meant to catch risky actions before they complete rather than flag them after the fact. At larger environment scales the platform's performance characteristics are less proven simply because the track record across truly large, complex enterprise deployments is still being established. Early indications are positive but any security team running at significant scale should validate performance behaviour in their specific environment during evaluation. Neo analyses AI sessions directly on the endpoint rather than forwarding prompts, conversations or user activity to external cloud services, which reduces privacy concerns because sensitive information remains on the device. For enterprise environments with data residency requirements or handling sensitive personal data, that on-device analysis architecture removes a category of concern that would otherwise complicate or block deployment entirely. The founding team's depth is also worth noting because in security it genuinely signals product quality. Neo was founded by former executives and engineers from SentinelOne, Wiz, and Palo Alto Networks, organisations that collectively defined how modern endpoint and cloud security works. That institutional knowledge shows in how the platform thinks about detection, attribution, and policy enforcement rather than just inventory and reporting. **What do you dislike about Neo?** Being candid about the downsides matters especially here because Neo emerged from stealth just weeks ago with its $100 million in funding, which means the product is very early and the experience reflects that stage honestly. The platform's five core capabilities, software inventory, risk intelligence, attribution, policy enforcement, and native control are not uniformly mature. Inventory and risk intelligence are clearly the most developed, which matches where we've spent the most time. Policy enforcement and native control feel earlier in their development cycle, and for security teams that need robust, granular policy management with complex conditional logic those capabilities will need more time before they're production-ready at enterprise scale. Integration depth across the full breadth of enterprise software environments is still being built out. The platform targets both employee-adopted AI tools and agentic features built into software already approved for enterprise use, but coverage across the long tail of enterprise applications is a function of how long the platform has been running in diverse environments, and that track record is still being established. Documentation and self-serve resources are thin at this stage, which is expected for a company days out of stealth but worth flagging for security teams that prefer to independently evaluate and configure tooling without heavy vendor involvement. Right now the evaluation and deployment experience is closely supported by the Neo team directly, which is a fine experience but not yet a scalable one. Pricing structure and commercial terms are not yet publicly available, which makes budget planning and internal procurement conversations harder than they need to be. For enterprise security purchases that require multiple approval layers, opaque pricing adds meaningful friction to the timeline. This is where Neo shows its age most visibly and it's worth being direct about it. The platform emerged from stealth weeks ago and the UI reflects that early stage more than any other part of the product. Navigation between the inventory view, risk intelligence dashboard, and policy configuration feels like it was built by engineers optimising for functionality first and experience second which is understandable but noticeable when you're using it daily. The inventory visualisation works well enough for smaller software footprints but gets visually cluttered as the agent and application count grows filtering and sorting controls need more refinement before they handle enterprise-scale inventories comfortably. Attribution drill-downs require more clicks than the workflow warrants, and the policy configuration interface lacks the guided structure that would make it accessible to security analysts who aren't deeply familiar with agentic software concepts from day one. It's not unusable the core information is surfaced and actionable, but compared to the polished interfaces of mature security platforms it's a gap that will need deliberate product investment over the next several release cycles. **What problems is Neo solving and how is that benefiting you?** Existing security architectures were built for predictable software rather than autonomous agents that can act independently and chain tools and that architectural mismatch is the core problem Neo addresses. Traditional security tooling knows how to govern software that does what it's told. It has no framework for software that reasons, invokes tools, and executes multi-step workflows using valid user permissions without a human in the loop for each action. Security operations teams are being tasked with securing autonomous software operating within trusted business applications, often without the visibility or policy controls needed to effectively govern its behaviour. Neo provides that visibility and those controls in a single platform rather than requiring security teams to piece together a governance model from tools that weren't designed for the problem. The practical benefit since starting with Neo has been clarity for the first time we have a reliable, continuously updated answer to the question of what agentic software is operating in our environment, what it can access, and whether its observed behaviour matches what it claims to do. That baseline visibility sounds foundational because it is, you cannot govern what you cannot see, and before Neo we genuinely could not see the full picture. Neo provides enterprises with a real-time control layer to understand what agentic software is capable of, govern how it behaves and secure its adoption without disrupting business operations and that last clause matters as much as the security capabilities themselves. A control layer that creates so much friction it slows AI adoption creates its own category of business risk. Neo's approach preserves the productivity benefits of agentic software while adding the governance layer that makes deploying it responsibly possible. Bottom line: Neo is solving the right problem at exactly the right moment, agentic software is proliferating faster than enterprise security programmes can adapt, and the tooling to govern it has been conspicuously absent until now. The inventory and risk intelligence capabilities are genuinely strong for a platform this new. Go in with realistic expectations about a product weeks out of stealth, plan for close vendor involvement in early deployment, and give it time to mature across its full capability set but for security teams that need to get ahead of the agentic software governance problem rather than catch up to it, Neo belongs on the shortlist. - [View Neo pricing details and edition comparison](https://www.g2.com/products/neo-security-neo/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-05+16%3A39%3A08+-0500&secure%5Bsession_id%5D=4617bba1-7f04-44d3-841d-85fe2adfcdca&secure%5Btoken%5D=cfadafd5339109ce9a1535f2f51128b2e6c40c6fb1309f17692a2141c91c5f1d&format=llm_user) ## Neo Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Model Protection - AI Security Solutions** - Input Hardening - Input/Output Inspection - Integrity Monitoring - Model Access Control **Functionality - AI Security Posture Management (AI-SPM) Tools** - Security Ecosystem Integration - AI Asset Discovery - Adaptive Policy Updates - Access and Permissions Monitoring - Policy Enforcement **Lifecycle & Provisioning - Non-Human Identity Management (NHIM) Solutions** - Credential Rotation & Revocation - Automated Registration & Provisioning - De-Provisioning & Retirement **Runtime Monitoring - AI Security Solutions** - AI Behavior Anomaly Detection - Audit Trail **Risk Assessment - AI Security Posture Management (AI-SPM) Tools** - AI Risk Assessment - AI Asset Posture Scoring **Access, Authentication & Authorization - Non-Human Identity Management (NHIM) Solutions** - Fine-Grained Access Control - Machine-Native Authentication Methods - Contextual / Just-In-Time Access **Policy Enforcement and Compliance - AI Security Solutions** - Scalable Governance - Integrations - Shadow AI - Policy‑as‑Code for AI Assets **Governance & Compliance - AI Security Posture Management (AI-SPM) Tools** - AI‑Generated Content Controls - Audit Trails **Visibility, Governance & Compliance - Non-Human Identity Management (NHIM) Solutions** - Policy Enforcement & Governance - Audit Logging & Activity Monitoring - Integration with IAM/Cloud/DevOps Ecosystem - Discovery & Inventory of Non-Human Ids ## Top Neo Alternatives - [Wiz](https://www.g2.com/products/wiz-wiz/reviews) - 4.7/5.0 (841 reviews) - [Microsoft Defender for Cloud](https://www.g2.com/products/microsoft-defender-for-cloud/reviews) - 4.4/5.0 (423 reviews) - [JumpCloud](https://www.g2.com/products/jumpcloud/reviews) - 4.5/5.0 (3,937 reviews)