Agent Security Suite vs Adept
Detailed side-by-side comparison to help you choose the right tool
Agent 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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CustomAdept
🔴DeveloperBusiness AI Solutions
Adept AI licenses its ACT-1 Action Transformer technology to enterprise partners, enabling them to build AI agents that visually control any computer software using natural language commands. Through its partnership model, Adept provides screen-reading AI models, proprietary training datasets, and technical consultation for building custom agentic automation solutions—offering an alternative to traditional RPA platforms for organizations with complex, multi-application workflows.
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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
Adept - Pros & Cons
Pros
- ✓Works with any desktop or web application without requiring API integrations - ideal for legacy systems and custom enterprise software
- ✓Natural language interface makes automation accessible to non-technical business users without requiring Python, JavaScript, or RPA scripting knowledge
- ✓Advanced reinforcement learning adaptation handles interface changes and unexpected scenarios, reducing the 30-40% maintenance overhead typical of traditional RPA deployments
- ✓Backed by $415M in funding with founding team including Ashish Vaswani (transformer architecture co-inventor) and former Google/OpenAI research leads
- ✓ACT-1 model can execute multi-step workflows spanning 10+ applications in a single natural language command, eliminating manual context switching
- ✓Enterprise-grade partnership model provides deep customization and dedicated technical consultation unavailable from off-the-shelf RPA vendors
Cons
- ✗Partnership-only access model with no self-service signup or public availability—requires direct enterprise sales engagement and significant upfront investment
- ✗No transparent pricing published; licensing fees, professional services, and ongoing consultation costs are negotiated per partnership
- ✗Requires extensive screen access permissions that may conflict with zero-trust security policies and SOC 2/HIPAA compliance frameworks
- ✗Following 2024 strategic shift, key talent moved to Amazon—raising questions about long-term product roadmap continuity for partners
- ✗Visual-only automation cannot handle command-line interfaces, headless servers, or API-only backend systems common in modern DevOps workflows
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