SafeGuard Cyber
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SafeGuard Cyber
Additional Info
| Company | SafeGuard Cyber |
| Website | https://www.safeguardcyber.com/ |
| Company size (employees) | 50 to 99 |
| Headquarters Region | North America |
Overview
SafeGuard Cyber is the most comprehensive integrated cloud communications security platform to address cybersecurity threats and compliance risks across the modern cloud workplace. Through a combination of unified visibility, contextual analysis, and multi-channel investigations and detections, SafeGuard Cyber mitigates risks in email, mobile, and web messaging apps, collaboration apps, and social media apps across M365, Teams, Slack, LinkedIn, WhatsApp, Telegram, and other messaging channels. Powered by Natural Language Understanding and patented Social Engineering Detection technologies, the SafeGuard Cyber platform reduces time-to-discovery and resolution of social engineering and language-based attacks in over 50 languages. The platform’s API-first, agentless deployment ensures enterprise protection is in place no matter the network or device.
SGC stands out in a crowded cybersecurity market because it can detect, isolate, and prevent social engineering attacks through unified visibility, contextual analysis using its patented Natural Language Understanding (NLU), and cross-channel detection.
In summary, the SafeGuard Cyber Platform combats social engineering by providing:
1. Unified visibility: allows for transparency across the organization’s communication channels which assures SOC analysts are not “stuck in swivel chair mode” or constantly chasing threats across the company’s communication channels.
2. Contextual analysis of communications: in-depth insights make it possible to detect and alert on social engineering indicators earlier in the kill chain, such as false urgency, coercive language, persuasion techniques, etc. This analysis adds a crucial layer where defenders can act when training falls short.
3. Cross-channel detection: Often, enterprises face “low and slow” attacks. These may start in one channel and then move to another. SGC provides a holistic view into cross-channel detection so that security teams can quickly and efficiently identify suspicious activity.
How we are different
• Working digitally and remotely increases employee productivity; however, it also increases threats in the messaging channels they use to communicate internally and externally, such as Zoom, LinkedIn, Slack, and more. In fact, businesses increased the number of communication channels used by 79% during the pandemic. This growing trend has introduced new attack vectors into corporate environments leaving companies needing help to figure out how to maintain productivity without compromising security, compliance, or risk. This trend amplifies SGC's mission to safeguard human connection.
• Email remains the most common attack channel, despite attackers adopting other communication platforms rapidly. SGC's software minimizes risks efficiently, reducing the resources and costs associated with protection. It gives you deep visibility to protect your infrastructure from phishing, fraud, credential theft, and other social engineering attacks. The software protects, prevents, and detects possible threats to organizations creating a secure infrastructure within the organization's security.
• An organization adopted Microsoft Teams for collaboration and used SGC to detect threats and mitigate risks to protect its data and employees. Security realized they couldn’t detect communications patterns, content, and intent and were blind to phishing, social engineering, or malware indicators in their Teams. SGC automatically captured 10,000+ messages/day, flagged seven instances of malware and malicious links in chats in the first ten days, and isolated 1,989 risk events in various languages with language-agnostic risk analytics. As a result of SGC, they can now detect social engineering in 50+ languages, prevent Microsoft Teams malware and ransomware from spreading, and reduce risk to the organization in human communications.
How we are different
- The use of NLU-based contextual analytics helps SOC teams understand the context and intent of communications. By combining NLU-derived context and intent with message metadata, sophisticated machine learning (ML) models can identify threats accurately. It allows security teams to act earlier in the kill chain before a harmful payload is delivered or credentials are compromised. This approach serves as an added detection layer that complements existing email security, allowing organizations to detect and respond to threats earlier, preventing theft and loss before they occur.
- Companies can use SGC to detect social engineering in 50+ languages, prevent malware and ransomware from propagating the business, and reduce risk to organizations in human communications. Recently, SGC detected impersonation threats in Telegram – a communication channel often used overseas – that delivers malware.
- The SafeGuard Cyber platform uses NLU and ML to understand the context and intent of human digital communications. Its design uses API integration with communication channels and security infrastructure, and the platform is easy to deploy, simple to use, and quick to operationalize for the SOC. Using SGC's patented detection engine, social engineering attacks are accurately identified through the analysis of a comprehensive set of message features, including:
• Digital Identity - verifying the sender's identity
• Semantic Analysis - understanding the content of the message
• Metadata Traits - analyzing the characteristics of the message
• Behavior Analytics - identifying abnormal behavior
• Social Graph Analysis - analyzing the history of past communication
