The Reflectiz Security Hub is a web exposure security platform that monitors and analyzes the live execution of websites inside a real browser environment. It detects security risks introduced by third-party scripts, tags, and external dependencies by observing actual runtime behavior – not by scanning code or inspecting network traffic. It operates at the website execution layer where modern web attacks occur: after deployment, after the WAF, and after the page loads.

Client-side security refers to the protection of the browser execution environment – the layer where JavaScript runs, third-party scripts load, and user interactions occur. Unlike server-side or network-layer security, client-side threats originate from code that executes inside a user’s browser, often introduced through third-party vendors, CDNs, tag managers, or open source libraries. Client-side attacks like Magecart web skimming, formjacking, and supply chain compromises operate entirely in this layer and are invisible to most traditional security tools.

A web supply chain attack occurs when an attacker compromises a third-party script, library, or vendor component that is loaded and executed on a target website. Because modern websites depend on dozens of external dependencies – analytics tags, payment widgets, chat tools, CDN-hosted libraries – an attacker who compromises any one of them gains execution access to every site that loads it. The site owner’s own codebase is never touched. This is why traditional vulnerability scanners and WAFs cannot detect these attacks: they never see them.

Magecart is a category of web skimming attack in which malicious JavaScript is injected into e-commerce checkout pages to silently capture payment card data as customers enter it. Magecart groups typically gain access through compromised third-party scripts or supply chain vulnerabilities rather than direct attacks on the retailer. Because the malicious code operates inside the browser and mimics legitimate behavior, it evades WAFs, DAST scanners, and most endpoint security tools. Detection requires monitoring live browser execution – which is what Reflectiz does.

 A WAF inspects HTTP traffic between users and servers. It protects against request-based attacks – injection, DDoS, and known exploit patterns in transit. Reflectiz operates after the page loads, inside the browser, where third-party scripts execute and interact with user sessions. WAFs protect the perimeter. Reflectiz protects execution. Both are necessary; neither replaces the other.

DAST tools scan applications for known vulnerabilities by probing inputs and analyzing server responses. They run periodically and focus on weaknesses in your own code. Reflectiz runs continuously and monitors live browser behavior – including changes introduced by third-party scripts that never touch your codebase and would never appear in a DAST scan.

SCA tools catalog open source components and flag known CVEs in your declared dependency tree. They analyze what you’ve declared – libraries, packages, versions. Reflectiz analyzes what actually executes in a browser at runtime, including dynamically loaded scripts, CDN-hosted code, and third-party tags that exist entirely outside your dependency tree. SCA closes the open source risk gap. Reflectiz closes the client-side execution gap.

Tag management security tools typically work by auditing the contents of a tag container or by using CSP headers to control what can be loaded. They see what is configured. Reflectiz observes what actually executes – including behavior introduced by tags after they load, such as downstream script calls, data transmissions, and dynamic DOM changes. A tag can appear legitimate in a container audit and still behave maliciously at runtime.

No. Reflectiz is fully agentless and non-intrusive. It operates externally via browser simulation and requires only a website URL to begin monitoring. No SDKs, no tags, no code changes, no IT dependency, and no access to company or user data. Most customers are operational within one business day of providing their URLs.

Security Hub detects web skimming and Magecart-style attacks, supply chain compromises, malicious script execution, unauthorized data exfiltration, domain and certificate anomalies, security misconfigurations, CVE-bearing frameworks in production, and behavioral changes in sensitive user flows, including login, checkout, and forms. Detection is behavioral – it does not rely on known signatures or static rule sets.

Reflectiz uses behavioral baseline detection rather than signature matching. It establishes a model of how each script and dependency behaves under normal conditions – what it executes, what it accesses, and where it transmits data. When observed behavior deviates from that baseline, it is flagged regardless of whether the threat has a known signature. This approach catches novel attacks and silently modified scripts that signature-based tools would miss entirely.

 Both. Not every exposure is an active vulnerability, but without visibility into every risk indicator, there’s no way to distinguish a harmless change from a real one. Reflectiz doesn’t wait for a known attack pattern to fire. It flags any behavior that could become a weak point in your security or compliance posture, giving security teams a complete picture of their web exposure – not just the incidents that already crossed a threshold.

Yes. Fourth-party risk refers to dependencies introduced by your third-party vendors, code that your vendors load that you never approved or inventoried. Reflectiz traces the full execution chain from every script on your page, including the dependencies those scripts introduce at runtime. This is how Castore discovered a vulnerable library loaded by a customer service chat widget through a dependency chain neither they nor the vendor had been tracking.

Yes. Reflectiz’s browser-based simulation reconstructs real user sessions including dynamic content, lazy-loaded scripts, and JavaScript-driven page changes. It does not rely on static crawling or server-side analysis, so it captures behavior that only appears after user interaction or during specific page states, including checkout flows, login sequences, and form completions.

No. Reflectiz observes browser-side behavior without accessing or storing user PII. It monitors execution patterns, network calls, and script behavior – not personal data entered by real users. The architecture is designed to provide behavioral visibility without requiring access to production data or internal systems.

Security Hub streams structured security events into SIEM, SOAR, and SOC workflows via REST API. It is designed to complement existing perimeter and code-level security tools – not replace them. Reflectiz closes the client-side execution gap that WAF, DAST, SCA, and EDR tools cannot cover, and delivers its findings in a format that feeds directly into existing investigation and response workflows.

Security Hub is used across industries where websites handle sensitive user interactions at scale: e-commerce and retail (checkout and payment flows), financial services (banking portals, authentication pages), healthcare (patient portals, appointment forms), travel and hospitality (booking flows, loyalty account pages), and gaming and entertainment (payment and account management pages). Any organization running third-party-heavy websites with sensitive user flows has exposure that Security Hub is designed to address.

AI has lowered the skill threshold and raised the scale ceiling for web-layer attacks. Attackers now use AI to generate polymorphic skimming scripts that change their signature on every execution, making static detection rules obsolete. AI is also used to automate supply chain reconnaissance – identifying vulnerable third-party components across thousands of target sites simultaneously. AI-generated obfuscation wraps malicious payloads in legitimate-looking code to evade deobfuscation tools trained on known patterns. The result is a new category of threat that is faster to deploy, harder to attribute, and specifically engineered to be invisible to signature-based detection.

Reflectiz does not rely on signatures, so polymorphic and AI-generated threats do not have an inherent evasion advantage against it. Regardless of how a malicious script is packaged, it must still execute in the browser, still interact with page elements, and still transmit data somewhere. Reflectiz’s AI behavioral models observe what scripts actually do – not what they look like – and flag deviation from established baselines in real time. AI-powered deobfuscation then deconstructs the payload to reveal its true intent, even through multiple obfuscation layers, including those generated by AI tooling.

AI tools, chatbots, and third-party AI integrations running in the browser introduce a distinct category of risk: they interact with form inputs, may capture sensitive user data, and create potential entry points for attackers – often without clear visibility into what data they access or where it goes. Reflectiz monitors these tools the same way it monitors any third-party script: by observing their actual runtime behavior, mapping their data access patterns, and flagging any behavior that falls outside approved baselines.

Yes. AI-generated code introduced by non-engineers – often without standard development review – is more prone to misconfigurations, unintended data flows, and compliance gaps. Reflectiz monitors the live execution behavior of all code on your website, regardless of how it was authored. Misconfigurations and unauthorized data flows are flagged based on what the code does at runtime, not how it was written or reviewed before deployment.

Reflectiz goes beyond detection with on-demand script blocking. When a threat is confirmed, security teams can initiate domain-level blocking directly from the Reflectiz UI using the Idle Blocking Script – a lightweight, CSP-based mechanism that requires no developer involvement and no code deployment. The key distinction from always-on blocking agents: it sits completely idle by default, with zero performance impact and zero compliance risk. No code runs on user browsers until a block is explicitly triggered by a confirmed alert. Once the threat is resolved, it reverts with a single click. Blocking is deliberate and human-initiated – not an automated rule that can misfire against legitimate site functionality.