Shilo vs Agent Security Suite
Detailed side-by-side comparison to help you choose the right tool
Shilo
Business AI Solutions
AI assistant built for real estate teams that listens, coaches, and guides agents in real time to help them close deals with confidence.
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CustomAgent Security Suite
🟢No CodeBusiness AI Solutions
Enterprise-grade security platforms that protect, monitor, and govern AI agents across their full lifecycle — from development through production deployment — with unified observability, threat detection, and compliance controls.
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CustomFeature Comparison
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Shilo - Pros & Cons
Pros
- ✓Specialized focus on live real estate sales conversations rather than trying to be an all-in-one platform, filling a gap that general CRMs leave open
- ✓Real-time AI coaching during calls provides agents with contextual suggestions and objection-handling prompts without leaving the conversation
- ✓Manager dashboard provides granular visibility into team performance, coaching adherence metrics, and training opportunity identification
- ✓Integrates with real estate CRMs and existing telephony stacks rather than requiring agents to switch platforms
- ✓AI suggestions improve over time by learning from a team's own successful calls, tailoring to specific markets and property types
- ✓Objection library covers over 200 common real estate objections with AI-generated rebuttals tuned to property-specific vocabulary
Cons
- ✗Pricing is not publicly listed and requires contacting sales, making quick budget comparisons difficult—refer to comparable platforms like Gong ($100–$150/user/month) for general market context
- ✗Relatively new entrant in the market with limited long-term performance data across diverse economic conditions
- ✗Vendor-published performance claims have not been independently verified by third-party audits as of early 2026
- ✗Focused narrowly on call coaching, so teams still need separate tools for lead generation, marketing automation, and transaction management
- ✗Effectiveness may vary significantly across different real estate markets, property types, and buyer demographics, requiring a pilot period to validate
Agent Security Suite - Pros & Cons
Pros
- ✓Broad cross-platform coverage spanning Microsoft Copilot, Salesforce Agentforce, ServiceNow, ChatGPT Enterprise, Google Vertex AI, and Amazon Bedrock in a single control plane
- ✓Three-layered architecture (Observability, AI-SPM, AIDR) maps cleanly to established security disciplines like CSPM and EDR, shortening the learning curve for existing SecOps teams
- ✓Active original research program through Zenity Labs, with named vulnerability disclosures like AgentFlayer and PleaseFix that feed detections back into the product
- ✓Detects shadow AI and citizen-developed agents in low-code environments like Power Platform, which most general-purpose security tools miss entirely
- ✓Industry-specific framing for financial services, government, and healthcare with compliance-oriented controls suited to regulated deployments
- ✓Runtime threat detection goes beyond static posture scanning to catch prompt injection, data exfiltration, and anomalous agent behavior in production
Cons
- ✗Enterprise-only pricing with no published tiers, free trial, or self-serve option — unsuitable for small teams or early-stage experimentation
- ✗Value depends on the breadth of agent platforms you actually run; single-platform shops may find narrower native tooling cheaper
- ✗Agentic AI security is a young category, so detection coverage and false-positive rates are still maturing across the industry, Zenity included
- ✗Requires meaningful integration work and permissioned connections to each agent platform, which can be slow in change-controlled enterprises
- ✗Overlaps with features now appearing natively in Microsoft Purview, Salesforce Shield, and hyperscaler AI guardrails, forcing buyers to justify a dedicated layer
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