Forecasts.cloud is a Czech Republic-based meteorological technology company specializing in tailored predictive weather models for business sectors including energy, insurance, marketing, retail, agriculture, construction, and transportation. The company leverages machine learning and extensive data to provide hyperlocal forecasts and actionable insights to improve operational efficiency and reduce costs. Their market position is that of a niche B2B service provider with over 15 years of experience and a unique AI-driven product offering.
Technically, the website employs modern JavaScript libraries such as jQuery, Slick Carousel, and Nette Forms, hosted on VSHOSTING infrastructure. The site is mobile-optimized with good design quality and clear navigation, though SEO and accessibility features are basic. No CMS is detected, and no analytics or tracking scripts are present, indicating a privacy-conscious or minimal tracking approach.
From a security perspective, the site uses HTTPS with domain transfer and update protections enabled. However, no security headers or privacy/cookie policies are published, which are notable compliance and security gaps. No incident response or vulnerability disclosure information is available. The WHOIS data is consistent with the business claims, enhancing legitimacy.
Overall, the website is professional and trustworthy but would benefit from improved privacy compliance and enhanced security headers. The absence of privacy and cookie policies and lack of incident response contacts are the main weaknesses. Strategic improvements in these areas would strengthen the security posture and regulatory compliance of the business.
Scanned ·
NIS2 and GDPR posture
GDPR outside view
50/ 100 · Medium
Checks completed
7of 7
NIS2 Art. 21(2)
a(a) Risk analysis and security policies: Not visible from outside
b(b) Incident handling: One indicator
c(c) Business continuity, backups and crisis management: Not visible from outside
d(d) Supply chain security: Not visible from outside
e(e) Secure acquisition, development and maintenance, including vulnerability handling: Partly checked
f(f) Assessing the effectiveness of security measures: Not visible from outside
g(g) Cyber hygiene and security training: Not visible from outside
h(h) Cryptography and encryption: Partly checked
i(i) HR security, access control and asset management: One indicator
j(j) Multi-factor authentication and secured communications: Not visible from outside
Partly checked
One indicator
Not visible from outside
This scan rated NIS2 with an earlier keyword method that is no longer shown; rescan for the per-article view. Risk management, continuity, supply chain, training, MFA, management oversight (Art. 20) and incident reporting (Art. 23) need internal evidence, and Guard cannot tell whether NIS2 applies to this organisation.
GDPR is indicative only, based on publicly visible signals: Articles 7, 12, 13 and 32 of Regulation (EU) 2016/679 and Article 5(3) of the ePrivacy Directive. Not a certification or legal assessment.
Priority findings
8 findings rated critical or high. Fix these first.
Security headers
Security headers are instructions your web server sends to every visitor’s browser. Missing ones leave visitors more exposed to attacks such as clickjacking and injected scripts.
High
Missing Strict-Transport-Security header
Forces HTTPS connections
What to do: Add "Strict-Transport-Security: max-age=31536000; includeSubDomains; preload"
This scan found 22 issues across 6 checks. Monitoring re-runs those checks daily, emails you when something material changes and records each fix, so you can show progress.
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TLS certificates and expiry
DNS records
SPF, DKIM and DMARC
Security headers
GDPR and NIS2 posture
Exposed services
Third-party trackers
Security score drift
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Results by check
Each check with its score, findings and the evidence it collected.
How this score is calculated
The security score runs 0–100, higher is better. It is the plain average of the security checks that completed in this scan, each counted equally. A check that could not run is left out: it counts neither as a pass nor as a fail.
Counted in this score
SSL/TLS
42
Security headers
35
Email security
80
DNS health
85
Network security
20
GDPR outside view
50
Average
52
Not counted
NIS2 outside view: Re-weights evidence from the TLS, email, DNS, network and hygiene checks, so counting it would count that evidence twice. Shown on its own.
OffSeq Observations: An AI reading of the site, useful context but not reproducible evidence. Shown on its own.
Findings that cap the score at 49
Each of these is serious on its own, so while any is present the site cannot rate better than high risk, however good the other checks are.
The certificate is not trusted by browsers
The website is not served over HTTPS
A database, remote desktop, file-sharing or Telnet service is reachable from the internet
The page loads a script from a compromised source
The domain registration has expired
SPF authorises every server to send mail as the domain
Partial scans
When the site blocks Guard or most checks cannot run, the score covers only the checks that ran (usually DNS and email), is capped at 75 and is shown as partial, without a risk level.
Risk levels
Critical0–25
High26–49
Medium50–75
Low76–100
Breach exposure
Leaked credentials and lookalike domains from OffSeq Breach. The counts are free; the detailed lists are paid add-ons.
Dark web exposure
Add-on
Leaked records that mention forecasts.cloud, from OffSeq Breach.
No leaked records found
Breach holds no records for forecasts.cloud right now. New leaks arrive continuously, so monitoring on Breach alerts you if that changes.
Business context, site observations and technical notes gathered during the scan, and the standards behind each reference.
Business context
Business profile
Forecasts.cloud operates in a specialized niche providing B2B meteorological predictive analytics tailored to multiple industry sectors. Their competitive advantage lies in combining machine learning with extensive historical weather data to deliver hyperlocal and customized forecasts. The business model focuses on subscription or service-based revenue streams targeting medium to large enterprises in energy, insurance, retail, and transportation. The company demonstrates a strong partnership ecosystem with clients showcased on the website, indicating market traction. Growth indicators include continuous data updates every 10 minutes and a professional team of AI engineers. The company’s operations are centralized in the Czech Republic with no visible subsidiaries or parent companies. Strategic observations suggest opportunities for expanding privacy compliance and incident response capabilities to enhance trust and regulatory adherence.
Security posture
The current security maturity level is moderate. HTTPS is enforced, and domain transfer protections are active, which are positive indicators. However, the absence of key security headers such as Content-Security-Policy, X-Frame-Options, and X-Content-Type-Options reduces defense-in-depth. No privacy or cookie policies are published, indicating GDPR compliance gaps. There is no visible incident response or vulnerability disclosure mechanism, which limits readiness for security events. No exposed sensitive data or vulnerable libraries were detected in the provided content. The security culture appears to prioritize operational security but lacks transparency in privacy and incident management. Addressing these gaps would significantly improve the security posture and compliance standing.
Recommendations
Publish comprehensive privacy and cookie policies with clear GDPR compliance statements.
Implement standard security headers including Content-Security-Policy, X-Frame-Options, and X-Content-Type-Options.
Establish and publicize an incident response contact channel and vulnerability disclosure policy.
Enable DNSSEC for the domain to enhance DNS security.
Consider adding contact phone numbers and physical addresses to improve business credibility and trust.
Site observations
Automated reading of the public site. Ratings are indicative.
Business
Company
IFYS, s.r.o.
Description
Creates tailored applied predictive models using machine learning to increase company efficiency and reduce costs. Provides B2B weather data and forecasts tailored to various industries.
Key services
Tailored weather forecasts, Predictive modeling for energy demand and production, Severe weather warnings for insurance, Marketing and retail consumer behavior insights, Agricultural weather impact minimization, Construction planning optimization, Transportation safety and route optimization
HTTPS enforced (implied by URL and no indication of HTTP)
Domain status clientTransferProhibited and clientUpdateProhibited set
Analytics and tracking
Tracking level
minimal
Privacy practices
poor
Advertising
Transparency
poor
Site quality
Design
good
User experience
good
Content relevance
good
Navigation
good
Professionalism
good
Trustworthiness
moderate
Key observations
Website is fully accessible with no blocking or WAF challenge
No privacy or cookie policies found, indicating compliance gaps
Professional and consistent branding and content
Focus on B2B meteorological predictive services across multiple industries
Use of modern JavaScript libraries and frameworks
No visible analytics or tracking scripts detected
No contact phone numbers or physical addresses explicitly provided
Email contact provided for sales only
No social media links found
Technical notes
Notes
The website uses a modern and stable technology stack with jQuery, Slick Carousel, and Nette PHP framework components. Hosting is provided by VSHOSTING, a Czech hosting provider, consistent with the business location. Performance is moderate with asynchronous loading of scripts and responsive design for mobile devices. SEO optimization is basic with meta description and viewport tags but lacks Open Graph or JSON-LD structured data. Accessibility features are minimal but present. No CMS or analytics platforms are detected, reducing potential attack surface but limiting marketing insights. Technical debt appears low, but modernization opportunities include adding structured data and improving accessibility compliance.
Standards and sources
Reference chips under each finding point to the standard, regulation or specification the finding relates to. They are taken from the official datasets below and mapped conservatively: a finding with no defensible link shows none. NIS2 and GDPR references mark where a finding is relevant evidence, not a compliance verdict. Implementing Regulation (EU) 2024/2690 binds digital infrastructure and digital service providers; for other entities it is the most detailed public reading of the Article 21 measures. WCAG, EN 301 549, European Accessibility Act and Web Accessibility Directive references name the requirement an automated accessibility rule relates to; they are not a conformance verdict.
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