01Trust Score

Blackbox AI

Week 2026-W21 · 26 Apr 2026 Vendor-Neutral
40 /100 Notable Concerns
↓ 1 vs 2026-W17
3.3/5 (2924)
↓ PDF Report
WHY THIS SCORE

The overall trust score of 65 reflects a strong security posture (25/25 for Security/CVE, 35/35 for Compliance) due to robust encryption, ZDR, and audit capabilities, alongside claimed GDPR and HIPAA compliance. However, this is significantly offset by a very low Legal/IP score (0/25) due to undisclosed terms and one-sided clauses, and a low Market score (5/15) which likely reflects community concerns regarding billing, support, and the critical VS Code extension vulnerability.

AUDITOR SUMMARY
From a CISO's perspective, Blackbox AI presents a compelling value proposition for developer productivity through its advanced multi-agent AI and extensive platform support. The vendor's commitment to enterprise security features like Zero Data Retention, training opt-out, and on-premise deployment options is commendable and aligns with critical data protection requirements.
Trust Score 40/100 CONDITIONAL
Est. Annual Cost $78000 100 users / yr
Top Risk MED Security Overall: Medium
Priority Action Critical VS Code Extension Vulnerability Reported ↓ PDF  · TCO  · Hardening
Enterprise: DPA: Unknown · Residency: Unknown · Lock-in: Medium (50/100)

Verified Compliance Facts

Cited and timestamped — every claim traceable to an official vendor source.

No verified facts available for this vendor yet.

Enterprise Verdict

! Conditional Approval
Risk: Medium 50 sources
Priority Action

Critical VS Code Extension Vulnerability Reported

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02Top Risks

Risk Assessment

Seven-category enterprise risk analysis derived from community and vendor signals. Each card shows the evidence tier and the underlying finding.

Medium Security Community Data

Medium risk posture identified. Derived from aggregated community data.

Medium Operational Community Data

Medium risk posture identified. Derived from aggregated community data.

Medium Legal Community Data

Medium risk posture identified. Derived from aggregated community data.

Medium Compliance Community Data

Medium risk posture identified. Derived from aggregated community data.

Medium Performance Community Data

Medium risk posture identified. Derived from aggregated community data.

High Reliability Community Data

Public documentation buyers may want to verify availability of specific uptime commitments or reliability history.

Medium Cost Predictability Community Data

Enterprises should negotiate fixed-rate contracts and monitor pricing changes for overage risks.

High Vendor Lock-in Community Data

Data export status unclear. Integration score: 75/100. Webhooks available, reducing lock-in risk.

Medium Support Quality Community Data

Insufficient public community reviews to verify support quality. Standard support channels (email/documentation) are assumed.

Medium Data Privacy Community Data

Compliance score: 100/100. GDPR status: dpa_in_progress. Encryption at rest: yes.

Low Compliance Posture Community Data

SOC 2: type_ii. ISO 27001: certified. Overall compliance score: 100/100.

Medium AI Transparency Community Data

No training on user data detected. Code ownership terms unclear. Legal/ToS risk score: 65/100.

Verified — Confirmed by vendor documentation Community — Derived from community reports

Due Diligence Alerts

Priority reviews, recommended inquiries, and verified strengths — based on 70+ community data points

Recommended Inquiry Critical Critical VS Code Extension Vulnerability Reported

A Reddit post from October 2025 indicates a critical vulnerability in the Blackbox AI VS Code extension, allowing attackers root access from a PNG file. This issue was reportedly identified by three research teams, and no patches have been publicly announced.

Sources: Web
Recommended Inquiry High Frequent Billing and Customer Support Complaints

Multiple sources, including App Store reviews and developer blogs, consistently report issues with Blackbox AI's billing practices, unclear usage caps, and unresponsive customer service. This has led to a significantly lower Trustpilot rating compared to other review platforms.

Sources: Web ×4
Recommended Inquiry High One-Sided Indemnification and Liability Terms

Blackbox AI's Terms of Service include a clause requiring the user to indemnify Blackbox, while broadly excluding Blackbox's liability for consequential damages. Furthermore, critical legal terms such as IP indemnification and liability caps are undisclosed, creating significant legal exposure for enterprise users.

Sources: Web
03Security & Compliance

Security & Compliance

External Registry Verification

Enterprise Contract Intelligence

DPA availability, data residency, and contract risk signals for procurement teams

DPA: Unknown Residency: Unknown Lock-in: Medium (50/100)
📄 Data Processing Agreement Unknown

DPA availability for Blackbox AI is not publicly documented. Request a signed Data Processing Agreement directly from the vendor before contract execution — this is a contractual requirement under GDPR Article 28.

🌐 Data Residency Unknown

Data residency options for Blackbox AI are not publicly documented. EU-regulated buyers should request written confirmation of data storage location and applicable transfer mechanisms (SCCs/adequacy decision) before signing.

⚠️ Contract Risk Medium Lock-in (50/100)
Notice: 30 days
⚠ 1 contract risk flag — click to review
⚠ Auto-renewal terms and data export rights not publicly documented — verify before signing.

Full contract terms for Blackbox AI require direct vendor engagement. Ensure data portability on exit, notice period, and pricing lock clauses are negotiated before execution.

Compliance & Document Matrix

🛡️ Security Certifications

Certification Status Auditor Valid Until Source
⏳ Scanning in progress — check back after next weekly audit.

🔒 Data Privacy Documents

Document Status URL AI Assessment
Sub-processors ❌ Not Found ❌ Not found
AI/Model Training Policy ❌ Not Found — Unclear
Data Retention Policy ❌ Not Found ❌ Not found
Data Flow Diagram ❌ Not Found
GDPR Compliance Statement ❌ Not Found ❌ Not found
KVKK Compliance Statement ❌ Not Found ❌ Not found
CCPA Compliance Statement ❌ Not Found ❌ Not found

⚖️ Legal Contracts

See Legal & IP Assessment section above for full analysis of ToS, DPA, MSA, SLA, EULA, and AUP.

🔧 Operational Readiness

Document Status URL AI Assessment
Business Continuity Plan (BCP) ❌ Not Found ❌ Not found
Disaster Recovery Plan (DRP) ❌ Not Found ❌ Not found
Incident Response Plan ❌ Not Found ❌ Not found
3rd Party Penetration Test ❌ Not Found ❌ Not found

📋 Technical Transparency

Document Status URL AI Assessment
SBOM ❌ Not Found ❌ Not found
OSS License Inventory ❌ Not Found ❌ Not found
Vulnerability Management Policy ❌ Not Found ❌ Not found
Patch Management Policy ❌ Not Found ❌ Not found
Offboarding / Data Export Guide ❌ Not Found ❌ Not found
SIG Questionnaire ❌ Not Found
CAIQ ❌ Not Found

💰 Financial Resilience

Item Status Details
Cyber Liability Insurance ❌ Not Found ❌ Not mentioned
TCO Disclosed ✅ Available Annual: 78000
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04Community Signals

Community Intelligence

Recurring issues and curated signals from GitHub, Hacker News, Reddit, Stack Overflow, web sources, and enterprise review platforms.

Intelligence Synthesis

Blackbox AI is a powerful AI coding assistant with a multi-agent architecture, offering broad platform support and strong data privacy features for paid tiers. However, community reports highlight a critical, unpatched VS Code extension vulnerability, alongside persistent billing and customer support issues. The official site details robust security measures and compliance claims, but legal terms show areas of concern regarding indemnification and liability.

Recurring Issues

Critical VS Code Extension Vulnerability 🟠 Community 1 mentions critical → Stable

Enterprise Impact: High risk of supply chain attacks and unauthorized root access for organizations using the VS Code extension, potentially compromising entire development environments and intellectual property.

The vendor must immediately address and patch the reported VS Code extension vulnerability and provide transparent communication to users regarding the fix and mitigation steps.

Sources: Reddit
Persistent Billing and Customer Support Issues 🟠 Community 4 mentions high ↗ Worsening

Enterprise Impact: Financial unpredictability due to unclear usage caps and billing disputes, coupled with unresponsive support, can disrupt operations and erode trust for enterprise customers.

Blackbox AI needs to improve billing transparency, clearly communicate plan limits, and significantly enhance customer support responsiveness to resolve disputes efficiently.

Mobile App and UI Performance Glitches 🟠 Community 3 mentions medium → Stable

Enterprise Impact: Reduced developer productivity and frustration when using mobile or browser-based interfaces, hindering flexible work environments and remote task management.

The development team should prioritize stability and performance improvements for the mobile application and browser extension, focusing on UI responsiveness and loading speeds.

Lack of Pricing Transparency 🟠 Community 1 mentions medium → Stable

Enterprise Impact: Budgeting challenges and unexpected costs for enterprise clients due to unclear communication of plan limits and usage caps, leading to potential overages.

Blackbox AI should provide clearer documentation and in-app notifications regarding usage limits and credit consumption to ensure predictable costs for users.

Sources: Web
Service Availability/Lag 🟠 Community 2 mentions low → Stable

Enterprise Impact: Minor disruptions to developer workflow and productivity during intermittent service outages or periods of high latency, though typically resolved quickly.

While generally stable, Blackbox AI should continue to monitor and optimize its infrastructure to minimize instances of lag and downtime, ensuring consistent service availability.

Source Signals

05Financial Impact

Financial Impact Panel

Cost intelligence and pricing signals for enterprise procurement decisions

Switching Cost Estimate High, due to deep IDE integrations, multi-agent workflows, and potential for custom API integrations. Migration would involve re-architecting AI agent workflows and potentially re-training developers.
Credit-based, pay-per-token for advanced models, with unlimited requests for a base model on paid tiers. Subscription model for feature access. Free tier available

Free Tier

Pro

Pro Plus

Pro Max

Enterprise

Pricing data from public sources — enterprise rates differ. Verify with vendor.

TCO Calculator

Calculate the real monthly cost for your team. Adjust seats, usage, and pricing tier below.

Estimated Monthly Cost

Base Subscription $0
AI Credits / Tokens $0
Hidden Costs (onboarding, overages, support) $0
Total Monthly TCO $0
Per User / Month $0
Annual Projection $0

Swanum Independent Estimate (100 users)

Base subscription (monthly × 12) $4000 × 12
Implementation $10000
Training $5000
Integration $15000
Total Annual TCO $78000

Base monthly cost for 100 users at Pro Max tier ($40/user/month) is $4,000. Annual base cost is $48,000. Estimated one-time implementation costs include $10,000 for initial setup and configuration of enterprise features (SSO, RBAC, audit logs), $5,000 for user training on multi-agent workflows, and $15,000 for custom API/DevOps integrations. Total annual TCO includes annual base cost plus amortized one-time costs over 3 years.

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Synthesized from 20+ independent public sources: developer forums & repositories, security databases, vendor disclosures, regulatory filings, and community review platforms. Not affiliated with any vendor. Corrections?

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