Simplifying Digital Risk Protection With EBRAND

EBRAND’s X-RAY provides contextual AI-based detection, real-time risk scoring, and automated enforcement to identify and address threats across web, social, and code environments. Contextual detection helps distinguish relevant incidents from benign activity, while continuous risk scoring prioritizes issues based on severity and potential impact. Automated enforcement and workflow integration reduce manual effort and can accelerate remediation timelines. The platform is designed to scale with organizational needs, supporting broader coverage and increased data volumes as required.

Key Takeaways

• EBRAND’s X-RAY platform provides centralized, continuous monitoring of open, deep, and dark web sources to identify exposed assets and leaked credentials.
• The platform uses contextual AI detection and real-time risk scoring to prioritize identified threats and reduce the volume of low-priority alerts, which helps concentrate remediation efforts.
• Automated enforcement actions are available to remove phishing content, fraudulent ads, and counterfeit sites; automation can shorten remediation timelines compared with fully manual processes.
• Brand-specific configuration and centralized domain portfolio management address risks such as spoofing, unauthorized transfers, and DNS-based attacks by enabling targeted controls and oversight.
• Flexible onboarding options and the choice of managed or self-service support allow organizations to align deployment and operational responsibility with their internal capabilities and resource levels.

Why Digital Risk Protection Matters for Your Business

Organizations face a range of external threats observable across the public, deep, and dark web. Digital Risk Protection (DRP) solutions provide continuous monitoring and threat intelligence to identify exposed credentials, leaked data, brand impersonations, and other indicators of compromise before they escalate.

By detecting these signals early, DRP can reduce the likelihood of costly breaches, limit reputational damage, and support incident response efforts.

In addition to threat detection, DRP tools can contribute to operational resilience and regulatory compliance by preserving audit trails, informing recovery plans, and supplying contextual data for strategic risk decisions.

Implemented alongside other cybersecurity and governance controls, DRP is a practical component of a broader risk-management program.

How EBRAND’s X-RAY Platform Works

X-RAY uses contextual, AI-based detection to analyze signals and identify threats relevant to a brand.

It assigns real-time risk scores to help prioritize incidents.

When configured, the platform can initiate automated enforcement actions to mitigate or remove identified threats.

Contextual AI Detection

EBRAND’s X-RAY applies contextual AI detection to analyze digital threats in real time and produce actionable insights for incident response.

The system supports brand-specific tuning so models prioritize signals related to an organization’s digital footprint, which can reduce false positives.

Continuous monitoring and automated enforcement enable the platform to respond to identified risks without manual intervention.

Geofencing and analysis of keyword variations help uncover phishing, impersonation, and other abusive behavior that may not match exact known patterns.

The X-RAY portal provides options for self-service, managed service, and customization, and presents alerts with prioritization to support timely decision-making.

Real-Time Risk Scoring

Real-time risk scoring extends X-RAY’s contextual AI detection by providing an immediate, quantifiable measure of threat levels across an organization’s digital footprint.

The system performs continuous monitoring across web, cloud, social, and other digital assets and applies brand-specific tuning to improve relevance for a given environment.

Risk scores are calculated to reflect likely business impact, enabling teams to prioritize remediation efforts and allocate resources based on relative risk.

Findings and scores are shared through the X-RAY portal to support cross-team visibility and coordination.

Automated Enforcement Actions

EBRAND’s X-RAY uses automated detection and response with contextual AI and brand-specific tuning to identify and mitigate digital threats in real time.

The system targets phishing content, fraudulent ads, malicious domains, and counterfeit sites, and its automation can reduce the time required for removals compared with manual processes.

Continuous monitoring helps lower exposure to digital risks while maintaining oversight of brand protection.

The platform produces detailed reports and audit trails to support incident response and strategic decision-making.

Contextual AI tuning is designed to reduce false positives, enabling prioritization of verified incidents and preserving customer trust across channels.

Detecting Phishing, BEC and Advanced Social Engineering

Effective detection of phishing involves identifying indicators such as spelling and grammar errors, mismatched or suspicious URLs (including homograph and typosquatting domains), unexpected attachments, and anomalous sender behavior (unusual sending patterns, discrepancies between display name and sender address, or messages originating from uncommon geographies).

Implementing email authentication protocols (SPF, DKIM, DMARC) and URL/attachment sandboxing can reduce exposure.

Business Email Compromise (BEC) can be mitigated through controls that increase the difficulty of unauthorized account access and financial manipulation. Recommended controls include enforcing multi-factor authentication (MFA) for access to email and financial systems, requiring independent verification for payment or fund-transfer requests (for example, out-of-band confirmation or dual-approval workflows), and applying transaction controls such as payment limits and vendor change verification processes.

Real-time risk scoring that correlates indicators — unusual login locations, device anomalies, behavioral deviations, and message content patterns — can help flag likely impersonation attempts before transactions proceed.

Detection of AI-generated or manipulated audio/video (often called deepfakes) benefits from contextual, multi-modal analysis. Techniques include: automated analysis of media artifacts (inconsistencies in audio spectrograms, visual frame irregularities, temporal discontinuities), cross-referencing claims against known account behavior (sudden deviations in communication style, atypical request types), and correlating identity proof with independent signals (secure identity tokens, recent multi-factor authentication events, or direct confirmation via known channels).

Combining automated detection with human review for high-risk cases reduces false positives and false negatives. Regular updates to detection models and threat intelligence feeds are necessary to address evolving techniques.

Recognizing Phishing Indicators

Phishing attacks have increased substantially since 2019 (an estimated 150% rise) and remain frequent. Common indicators include unexpected sender addresses, urgent requests for sensitive information, unfamiliar links or attachments, and impersonation of executives or vendors. Targeted forms such as business email compromise (BEC), spear phishing, and deepfake-enabled attacks exploit these indicators.

Training should focus on recognizing specific signs: misspellings or grammatical errors, mismatched domains or email display names, unusual timing or sender behavior, and social-engineering cues that seek to bypass normal approval processes.

Digital Risk Protection (DRP) services can help detect brand impersonation and fraudulent domains across public channels for earlier identification of threats.

Operational controls include verifying unusual or high-risk requests through a separate, trusted channel; scanning and scrutinizing attachments and links before opening; and treating unsolicited offers or requests that appear unusually advantageous with caution.

Suspected phishing messages should be reported promptly through established incident-reporting channels for investigation and remediation.

Preventing BEC Attacks

Business email compromise (BEC) requires a layered defensive approach that addresses phishing, targeted social engineering, and unauthorized access before they escalate.

Deploy digital risk protection services to monitor external channels (dark web, forums, impersonation, and phishing sites), detect credential exposure and look‑alike domains, and generate alerts for suspected phishing or account compromise.

Prioritize near‑real‑time detection and correlation of indicators from multiple sources.

Operational controls should include mandatory multi‑factor authentication for email and remote access, strict approval processes for wire transfers and changes to payment instructions, and regular staff training on verification procedures (for example, out‑of‑band confirmation of financial requests).

Conduct periodic, targeted phishing simulations and red‑team exercises to identify gaps in controls and user behavior.

Combine automated monitoring and analytics with human review to identify subtle social‑engineering patterns and reduce false positives.

Maintain an incident response plan that specifies containment steps, notification requirements (including immediate notification to leadership and legal or compliance teams), evidence preservation, and post‑incident remediation and reporting.

These measures help limit dwell time, reduce financial and reputational impact, and improve resilience against sophisticated BEC attempts.

Detecting Deepfake Social Engineering

As attackers increasingly use synthetic audio, video, and highly tailored messages, detection approaches need to extend beyond traditional phishing filters.

Effective defenses combine monitoring for signs of synthetic media (visual or audio artifacts and contextual inconsistencies), analysis of metadata and provenance, and detection of unusual account behavior or communication patterns.

Reporting and threat data indicate an increase in incidents involving synthetic media since 2019, which has driven demand for proactive digital risk protection.

Products and services that provide real-time risk scoring and contextual AI analysis can help identify likely impersonations, trace brand misuse, and prioritize investigative and response efforts.

Implementing continuous monitoring and layered detection reduces the window of exposure to fraud and social engineering, and supports efforts to maintain organizational and customer trust.

Monitoring the Open, Deep and Dark Web for Exposed Assets

EBRAND continuously scans the open, deep, and dark web to identify exposed assets such as leaked credentials, phishing URLs, fraudulent domains, suspicious or expiring certificates, and improperly shared documents.

Findings are compiled into tailored reports on brand impersonation and trademark risks, enabling prioritized remediation of identified exposures.

Continuous monitoring detects credential leaks, phishing and fraudulent domains, and certificate issues; automated alerts support faster response to incidents.

Delivered reports include actionable details for containment, steps for remediation, and guidance relevant to regulatory compliance, helping reduce the risk of data harvesting and limit reputational and security impacts.

Protecting Domains, DNS and SSL Infrastructure

Centralize management of your domain portfolio to reduce the risk of unauthorized transfers and configuration errors. Use registrar locks, role-based access controls, multi-factor authentication, and an inventory that records ownership, renewal dates, and administrative contacts.

Keep WHOIS/contact information current and automate renewals and transfer timelines to avoid accidental lapses.

Harden DNS to reduce the chance of spoofing and cache-poisoning attacks. Deploy DNSSEC to provide origin authentication for DNS records, use multiple geographically distributed authoritative name servers (preferably via Anycast or multiple providers), and apply minimal necessary TTLs consistent with operational needs.

Protect DNS provider accounts with strong access controls and monitoring for configuration changes.

Manage TLS/SSL certificates to prevent unauthorized issuance and to maintain uninterrupted secure connections. Publish CAA records to limit which CAs may issue certificates for your domains, monitor Certificate Transparency logs for unexpected certificates, and require strict CA validation procedures for any manual issuance.

Automate certificate issuance and renewal where appropriate (for example via ACME), enable OCSP stapling and appropriate cipher suites, and maintain centralized inventory and expiration monitoring with alerting and test renewals.

Operational controls and monitoring reduce residual risk: log and alert on registrar and DNS configuration changes, periodically audit certificate inventories and trust relationships, and maintain incident response procedures for domain and certificate compromises.

These measures help maintain availability and integrity of domain, DNS, and TLS infrastructure while reducing the chance of configuration or credential-related failures.

Domain Portfolio Governance

Consolidating global domains under centralized governance reduces administrative complexity and can lower the risk of domain hijacking by standardizing processes and controls.

Key practices include enforcing DNSSEC to protect DNS integrity, automating SSL/TLS certificate renewals to avoid service interruptions, and maintaining accurate WHOIS/contact records to support rapid incident response and legal actions when required.

Centralized inventory and asset tracking make it easier to identify exposed or unmanaged names and to assess legal and compliance exposure.

These measures tend to shorten detection and remediation times for DNS-related incidents and can reduce the operational and financial impact of outages.

Solutions that enforce policy, consolidate renewals, and provide audit trails support consistent application of these controls and help demonstrate compliance during audits.

DNS and SSL Hardening

The resilience of a domain and certificate infrastructure depends on hardened DNS and TLS/SSL practices that reduce the risk of hijacking, outages, and data exposure.

Deploy DNSSEC to provide cryptographic validation of DNS responses and mitigate spoofing and cache-poisoning attacks. Centralize domain registration and DNS configuration to improve visibility, simplify change control, and reduce the chance of unauthorized modifications.

Consider Anycast DNS to distribute query load, lower latency for geographically dispersed users, and provide additional resilience against some types of DDoS traffic.

Maintain up-to-date TLS certificates and implement automated issuance and renewal processes to avoid expirations that can interrupt service or degrade trust. Complement certificate management with mechanisms such as OCSP/CRL checks and appropriate key sizes and cipher suites to preserve confidentiality and integrity.

Together, these controls reduce operational risk and support compliance with security best practices and regulatory requirements.

Combating Domain Shadowing and Unauthorized Subdomains

Domain shadowing occurs when attackers use a compromised legitimate domain to create unauthorized subdomains for phishing or other malicious activity. To reduce this risk, organizations should implement the following measures:

• Use Digital Risk Protection (DRP) tools and similar discovery mechanisms to detect unexpected or malicious subdomains early and maintain an up-to-date inventory of subdomains and DNS records.
• Enforce strong authentication (e.g., multi-factor authentication) and strict access controls for accounts and systems that can modify DNS or issue certificates, limiting the number of users with such privileges and logging changes.
• Maintain DNS and certificate hygiene by removing stale records, monitoring certificate issuance (including via Certificate Transparency logs), and ensuring certificates are issued only by trusted authorities under controlled processes.
• Run continuous threat monitoring that correlates signals from DNS, certificate logs, web traffic, and external threat feeds to identify anomalous activity, and establish alerting and incident response procedures so potential compromises are investigated promptly.
• Conduct regular audits of DNS configurations, account privileges, and third-party integrations, and provide employee training on relevant security practices to reduce the likelihood of compromise and to maintain customer trust.

These measures, applied together, help detect and mitigate unauthorized subdomains and reduce the operational impact of domain shadowing.

Automated Takedowns, Enforcement and Remediation Options

After implementing DNS and certificate hygiene, organizations can use automated takedown and enforcement tools to remove active digital threats.

EBRAND’s X-RAY platform provides continuous monitoring that can trigger takedowns of phishing sites, counterfeit domains, fraudulent ads, and impersonating accounts in near real time.

Contextual AI detection supports remediation by prioritizing and automating routine steps, which can reduce manual intervention and shorten response time.

When automated remediation is combined with consolidated threat intelligence, security teams gain situational visibility that helps limit impact and reduce the likelihood of escalation across channels and regions.

Customizing Protection With Brand-Specific Tuning and Geofencing

When detection is tuned to a specific brand and combined with geofencing, monitoring can be focused on the assets and markets that matter to the organization. EBRAND’s X-RAY implements three principal capabilities:

• Brand-specific tuning: Monitoring rules and models are configured to recognize an organization’s assets (domains, product names, social profiles, trademarks), which reduces signals unrelated to the brand and lowers false positive rates. This makes alerts more relevant to business concerns.
• Contextual AI and real-time risk scoring: Contextual analysis prioritizes signals based on factors such as the type of impersonation, target asset criticality, and known threat patterns. Real-time scoring assigns risk levels that can be used to route and prioritize responses according to business impact and geography.
• Geofencing and regional mapping: Geofencing associates detected threats with geographic areas, which helps identify localized spoofing, fraud campaigns, or concentration of activity in specific markets.

Operational outcomes from these capabilities include the ability to assign protection levels to individual assets, align detection sensitivity with organizational risk appetite, and focus investigative effort where it will have the greatest business effect.

These approaches require ongoing maintenance—regular updates to asset inventories and tuning parameters, quality data for model training, and attention to privacy and regulatory constraints in different jurisdictions—to remain effective as threat patterns change.

Integration, Reporting and Actionable Threat Intelligence

EBRAND’s X-RAY combines contextual AI detection with brand-specific tuning to produce real-time risk scores and actionable insights for decision-making.

Continuous monitoring and automated enforcement support identification, neutralization, and reporting of threats. Tailored reports consolidate threat intelligence and enable prioritization of responses by criticality and geography.

X-RAY integrates with incident-management tools to provide centralized reporting and shared threat intelligence across teams.

Customizable dashboards and exportable summaries support risk-management workflows, including takedowns and policy updates, and help maintain consistent security operations across multiple attack surfaces.

Onboarding, Support and Managed Service Options

EBRAND provides a tailored onboarding process to help teams adopt X-RAY’s tools and risk-scoring workflows. The onboarding includes step-by-step guidance and access to the X-RAY portal for threat detection and risk analysis.

Ongoing support is provided by a dedicated team that can assist with configuration, incident response, and policy tuning.

For organizations with limited internal resources, a managed service option is available for continuous digital risk monitoring and rapid response.

Both self-service and managed models allow adjustment of coverage to align with business priorities. Choosing between them typically involves weighing factors such as internal staff expertise, desired level of operational responsibility, acceptable response times, and budget.

Organizations with mature security teams may prefer the self-service approach to retain control and reduce service costs; organizations seeking to minimize operational burden or lacking specialized staff may prefer the managed service for consistent monitoring and faster incident handling.