AI-Powered Defense for Brand, Domain, and Deep Web Threats
Brand monitoring, Look-alike domain scanning, keyword threats, Darkweb monitoring, Social Media Threats
TechOwl SHIELD facilitates a streamlined improvement in quick detection and takedown of suspicious phishing incidents and reporting processes. Our service will assist in maintaining your cyber security compliance and risk posture.
Techowl Sheild
Brand Monitoring: Brand monitoring involves tracking and protecting a company’s or organization’s brand identity online to prevent misuse, unauthorized activities, and fraud. It is essential for maintaining a positive brand reputation, ensuring customer trust, and mitigating the risks associated with online fraud, phishing, and rogue activities. It involves monitoring online platforms, social media, websites, and other digital channels to swiftly identify and respond to any misuse of the brand’s identity.
Domain Monitoring: Domain monitoring is often performed using specialized tools and services that track domain registrations, changes in domain status, and domain behavior. These tools may leverage threat intelligence feeds, domain reputation databases, and machine learning algorithms to identify and assess potential threats. Additionally, organizations implement domain monitoring as part of their cybersecurity strategy to proactively identify and mitigate threats from malicious domains.
Attack Surface Monitoring
TechOwl SHIELD facilitates a streamlined improvement in quick detection and takedown of suspicious phishing incidents and reporting processes. Our service will assist in maintaining your cyber security compliance and risk posture.
Our AI-based solution leverages artificial intelligence and machine learning techniques to detect, prevent, and mitigate the threat posed by rogue software. AI brings the advantage of automation, pattern recognition, and real-time analysis, enhancing the ability to identify and respond to evolving rogue software threats.
It refers to unauthorized or malicious applications that imitate legitimate software to deceive users into installing them. These applications often carry malware, spyware, or other harmful payloads that can compromise the security of a system or network. An effective anti-rogue solution employs various techniques to identify and combat these threats.
Deep Web Monitoring
Deep web monitoring involves the systematic surveillance and analysis of online content, activities, and interactions that occur in hidden or unindexed parts of the internet. These areas are not accessible through traditional search engines and require specialized tools and techniques to access. It aims to uncover valuable insights, potential threats, and relevant information that might not be readily visible on the surface web. This practice is often employed for cybersecurity, threat intelligence, brand protection, and early warning purposes.
Key Benefits
Behavioral Analysis with AI
TechOwl SHIELD integrated with AI algorithms analyses the behavior of running applications and processes to establish baseline patterns of normal behavior. Deviations from these patterns are flagged as potentially rogue behavior. AI models can be trained to recognize specific behavior associated with rogue software, such as attempts to modify system files, unauthorized network communications, or suspicious memory access.
Anomaly Detection
TechOwl SHIELD AI- powered anomaly detection systems continuously monitor software and system activities. They learn normal patterns and can quickly identify unusual behavior that might indicate rogue software. For instance, if an application suddenly starts making unexpected system changes or accessing sensitive data, the AI system can trigger an alert.
Dynamic Learning
TechOwl SHIELD’s AI systems continuously learns and adapts to new threats by analyzing data from various sources, including the latest malware samples, network traffic, and system logs. This adaptability allows the AI to stay effective against emerging rogue software variants.
Real-time Monitoring and Alerts
TechOwl SHIELD’s AI-based anti-rogue solutions provide real-time monitoring of system and network activities. When a potential rogue software threat is identified, the system can generate alerts for immediate response.
Look-alike domain scanning
Look-alike domain scanning refers to the process of identifying and analyzing domain names that closely resemble legitimate domain names with the intent to deceive or defraud users. This technique is often employed by cybercriminals for various malicious purposes, including phishing attacks, scams, and spreading malware.
Real-time Monitoring and Alerts
| Features | Core-Shield | Pro-Shield | Elite-Shield |
|---|---|---|---|
|
Included Identifiers |
5 Identifiers |
10 Identifiers |
50 Identifiers |
|
Brand Monitoring |
|||
|
Rogue Application |
✓ |
✓ |
✓ |
|
Code Repository |
✓ |
✓ |
✓ |
|
Phishing Domain |
✓ |
✓ |
✓ |
|
Keyword Threats |
✓ |
✓ |
✓ |
|
Social Media Threats |
✓ |
✓ |
✓ |
|
Website Impersonation |
✓ |
✓ |
✓ |
|
Website Takedown |
✓ |
✓ |
✓ |
|
Email Health |
✓ |
✓ |
✓ |
|
DNS Health |
✓ |
✓ |
✓ |
|
SMTP Issues |
✓ |
✓ |
✓ |
|
Phishing Email |
✓ |
✓ |
✓ |
|
Reports |
✓ |
✓ |
✓ |
|
Infrastructure Monitoring |
|||
|
IP Assets |
|
✓ |
✓ |
|
Web Applications |
|
✓ |
✓ |
|
Security Assessment |
|||
|
Vulnerabilities |
|
✓ |
✓ |
|
Open Ports |
|
✓ |
✓ |
|
App Misconfiguration |
|
✓ |
✓ |
|
SSL Scans |
|
✓ |
✓ |
|
Dead Domain |
|
✓ |
✓ |
|
Cyber Threats |
|||
|
Credential Leaks |
|
|
✓ |
|
Third Party Breach |
|
|
✓ |
|
Internal Breach |
|
|
✓ |
|
Customer Breach |
|
|
✓ |
|
Card Leaks |
|
|
✓ |