QueryPie AI vs Push Security
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | QueryPie AI | Push Security |
|---|---|---|
| Pricing | Freemium (usage-based LLM deployment, likely custom enterprise tiers) | Freemium (cloud-based, likely per-seat or enterprise tiers) |
| Core Focus | Agentic AI platform with governance, access control, and MCP gateway | Browser security for AI era: phishing, identity, AI tool DLP |
| Key Feature | Pre-built AI agents (Data Analysis, Report Writer, Sales Insight) | AiTM phishing detection, session hijacking block, in-browser AI DLP |
| Target User | Enterprise IT, data analysts, sales teams needing secure AI | Security teams, identity teams, SecOps |
| Deployment | Cloud-based with Field Deployment Engineers for custom AI agents | Cloud-based (browser extension, no on-prem option) |
| Latest News | No recent news | June 2026: poisoned tenant attack, AI maturity model, agentic threat hunting |
If your priority is deploying trusted AI agents with enterprise governance and data access control, QueryPie AI is the clear choice. If you need to secure your organization against browser-based attacks (AiTM, session hijacking, AI data leakage), Push Security is essential. They address different problems; select based on whether your immediate need is AI enablement or browser threat defense.
Governed agentic AI platform with MCP gateway, access control, and real-time interpretation
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What real users say: QueryPie AI vs Push Security
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
QueryPie AI
6 mentions across 2 sources · 55% positive — mixed
YouTube, Bluesky
What users praise
- • Built-in governance with centralized authorization, monitoring, and audit logs.
- • MCP gateway enables secure, policy-controlled model usage across organizations.
- • Pre-built agents for data analysis, reports, quotations, sales, and document review.
- • Usage-based LLM deployment allows cost optimization per task.
What frustrates them
- • Almost no user reviews or community feedback available to validate claims.
- • Enterprise pricing is not transparent—potential for high unexpected costs.
- • Governance-heavy design may reduce agility for smaller teams.
- • Custom agent development likely requires consulting engagement and extra fees.
Researched Jul 6, 2026
Push Security
36 mentions across 3 sources · 30% positive — critical
Hacker News, YouTube, Lemmy
What users praise
- • Deploys as extension across all major browsers, avoiding enterprise lock-in
- • Autonomous hunting agents detect and block zero-day threats in real time
- • Addresses emerging AiTM phishing, ClickFix, and session hijacking attacks
- • Provides shadow AI discovery and governance, a growing need
What frustrates them
- • Limited independent reviews and community deployment case studies
- • Extension-based agent may impact browser performance on low-end devices
- • Pricing for advanced features likely steep for SMBs
- • Configuration complexity requires skilled security engineers
Researched Aug 18, 2026
Who should pick which
- Enterprise IT Manager deploying AI agentsPick: QueryPie AI
QueryPie AI provides pre-built agents for data analysis, report writing, and sales insights, plus access control and audit trails for compliance.
- Security Engineer facing browser-based attacksPick: Push Security
Push Security specifically detects and blocks AiTM phishing, session hijacking, and AI data leakage via browser telemetry and agentic hunting.
- Data Analyst seeking automated reportingPick: QueryPie AI
QueryPie's pre-built Report Writer and Data Analysis agents automate SQL querying and document generation with governance.
- Identity Team reducing shadow SaaSPick: Push Security
Push detects ghost logins and shadow SaaS, and enforces MFA/SSO guardrails in-browser, as noted in its features.
- Compliance Officer for AI regulationPick: Push Security
Push's latest news highlights browser visibility for AI compliance (US, EU, UK regulations), making it fit for AI governance.
Frequently Asked Questions
QueryPie AI vs Push Security: which should you choose?
If your priority is deploying trusted AI agents with enterprise governance and data access control, QueryPie AI is the clear choice. If you need to secure your organization against browser-based attacks (AiTM, session hijacking, AI data leakage), Push Security is essential. They address different problems; select based on whether your immediate need is AI enablement or browser threat defense.
Which tool can build custom AI agents for my business?
QueryPie AI offers Field Deployment Engineers for custom agents and pre-built ones for data analysis, report writing, etc.
Can Push Security block phishing attacks in real time?
Yes, Push detects and blocks AiTM phishing, ClickFix, ConsentFix, and session hijacking using browser telemetry.
Do both tools work with cloud-based infrastructure?
Yes, both are cloud-based. QueryPie also integrates with on-prem databases via Edge Tunnel; Push is browser-based with no on-prem option.
Which tool is better for preventing data leakage to AI tools?
Push Security has in-browser DLP for AI tools (clipboard, file uploads) and AI tool visibility. QueryPie does not focus on employee AI usage control.
Does QueryPie AI support real-time meeting translation?
Yes, its Lingo feature supports Google Meet, Zoom, and Teams in real-time.
Can Push Security detect ghost logins and shadow SaaS?
Yes, Push detects ghost logins and shadow SaaS, and features malicious OAuth detection.
Which tool has more recent news and updates?
Push Security has multiple news items from June 2026, including agentic threat hunting and a poisoned tenant attack. QueryPie has no recent news.
Are these tools suitable for small businesses?
Both are enterprise-focused. QueryPie is not for individual hobbyists; Push is not for small businesses with minimal browser attack surface.
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Last reviewed: July 3, 2026