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Is (株)RevComm safe?

(株)RevComm risk score

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c

83/100

overall score

Total issues found:

103
Updated on: December 29, 2025
Data we analyse
Phishing and malware
69 issues

Network security
1 issue

Email security
1 issue

Website security
32 issues
Recent critical risk issues we found
28 SSL configuration issues found
1 domains vulnerable to email spoofing
Only 14% of systems cloud-hosted
Only 0% of systems CDN-protected
What information we check
Software patching
Web application security
Email security
Dark web exposure
Cybersecurity Benchmark
A comparison of this company’s cybersecurity ranking with industry averages and peer organizations
Phishing and malware
90 vs. 50

Network security
92 vs. 89

Email security
39 vs. 52

Website security
61 vs. 68
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Company overview
Section 1: Company Overview
RevComm is a specialized communications technology firm focused on delivering AI-driven conversation analytics and related SaaS solutions to business customers. Operating at the intersection of telephony, speech-to-text, and analytics, RevComm processes voice and metadata to provide sales enablement, quality assurance, and customer-insight capabilities. The company’s technology stack typically integrates with cloud telephony providers, CRM systems, and enterprise workflows; as such, RevComm handles sensitive audio content, personally identifiable information (PII), and behavioral metadata that require robust protections across storage, transit, and processing layers.

Section 2: Historical Data Breaches
No confirmed, publicly disclosed data breaches specific to RevComm were provided in the source material for this review. Absent validated historical incident records, there is no documented evidence of prior large-scale compromises attributable to RevComm within the supplied description. That said, the absence of reported breaches should not be interpreted as absence of risk: many incidents go unpublicized for commercial or legal reasons, and companies that handle voice and PII remain attractive targets for both external threat actors and opportunistic insiders.

Section 3: Recent Security Breach
(Omitted — no recent breach information was included in the provided description.)

Section 4: Evaluation of Digital Security
An assessment of RevComm’s digital security posture should prioritize risks typical to conversational-AI SaaS providers and map those risks to technical and organizational controls. While no external audit artifacts or security-score datasets were supplied, the following evaluation synthesizes likely threat vectors and control gaps, and prescribes mitigations consistent with industry best practices.

- Data in transit and at rest: Voice streams, transcription outputs, and associated metadata must be encrypted using modern TLS configurations for transit and AES-256 (or equivalent) for storage. Regular scanning for weak SSL/TLS ciphers, expired certificates, and misconfigurations is essential. Where customer integrations require webhook endpoints or API keys, strict authentication and rotation policies reduce exposure.

- API and web application security: Public-facing APIs and administrative consoles are frequent targets. Strong input validation, rate limiting, strict authentication (OAuth2, mTLS where feasible), and a Web Application Firewall (WAF) should be in place. Routine application-layer penetration tests and SAST/DAST in the CI/CD pipeline reduce the risk of injection, authentication bypass, and exposed secrets.

- Identity and access management (IAM): Least-privilege access for engineers, administrators, and customer support is critical. Multi-factor authentication (MFA) must be enforced for all privileged accounts and access to production systems. Role-based access and just-in-time elevation limit the blast radius of compromised credentials. Monitoring for credential reuse and compromised corporate credentials (via threat intelligence feeds) should be automated.

- Insider risk and data handling: Because employees may access call recordings and transcripts, strong role segmentation, just-in-time access approvals, and data access logging are necessary. Data minimization (retaining only required fields), redaction of sensitive phrases in transcripts, and anonymization for analytics reduce exposure.

- Cloud and infrastructure security: Misconfigured cloud storage buckets, permissive IAM roles, and exposed management consoles account for many incidents. Implementing cloud security posture management (CSPM), infrastructure-as-code security checks, and strict key management is strongly recommended.

- Supply chain and third-party integrations: RevComm likely depends on telephony providers, cloud ML services, and SDKs. A supplier risk management program, contractually enforced security requirements, and dependency scanning for vulnerable libraries should be in place.

- Detection and response: Effective monitoring, centralized logging, and an active Security Information and Event Management (SIEM) capability enable early detection. Predefined incident response playbooks and routine tabletop exercises improve containment and recovery time.

- Governance, compliance, and privacy: RevComm should maintain policies aligned with applicable privacy regimes (GDPR, CCPA, etc.), ensure lawful basis for processing voice data, and provide transparent retention and deletion mechanisms for customers. Data Protection Impact Assessments (DPIAs) are valuable for high-risk processing activities.

Audit and expert opinion: No independent audit reports or third-party penetration test results were supplied. To move from theoretical controls to verified security posture, RevComm should commission a SOC 2 Type II assessment (or equivalent), regular third-party penetration tests, and vulnerability disclosure / bug-bounty programs to leverage external expertise.

Conclusion: Is RevComm Safe?
RevComm operates in a high-risk domain by virtue of processing voice recordings and associated PII. Without provided evidence of past breaches, public reporting does not indicate a history of compromise, but the company shares common SaaS and telephony attack surfaces that require disciplined controls. Immediate priorities: enforce strong IAM and MFA, remediate TLS/SSL weaknesses, encrypt data at rest, harden APIs, implement logging/SIEM, and complete third-party penetration testing and a SOC 2 audit. Proactive incident response planning, supplier risk management, and continuous employee training will materially reduce financial, reputational, and privacy exposure.
Details
Industries:
Artificial Intelligence
Company size:
1-10 employees
Founded:
2017
Headquarters:
渋谷 2丁目 6-11 花門ビル3F; 渋谷区, 東京都 1500002, jp

Outcome reliability

We analyze billions of signals from publicly available sources to deliver validated insights into how your company is perceived externally by threat actors. These insights help security teams respond more quickly to risks, manage zero-day incidents effectively, and reduce overall exposure.

This is an inline graph showing outcome reliability scores. The grades are as follows: F is between 0 and 70, D is between 70 and 78, C is between 79 and 85, B is between 85 and 95, and A is above 95.