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WEBINAR

Zero Trust – Stealth. Defend. Recover.

Cross-Platform Security

Targetted Protection

Across Every Channel

The Expanding Attack Surface Beyond Email

Modern businesses communicate across multiple platforms, each creating potential entry points for sophisticated attacks. While email security blocks traditional phishing, attackers target unprotected channels like social media, sms and recognized cloud utilities like Docusign.

Emerging AI Threats

What questions should I ask my security vendors about AI threat detection?

As AI-powered attacks evolve, you need to ensure your cybersecurity vendors are prepared.

Ask them:

  1. Are you using distributed AI or still relying on a single large model?
  2. How do you detect attacks across multiple communication channels?
  3. Do you analyze code execution when web pages load in browsers?
  4. Can you detect unusual message frequency patterns like subscription bombing?
  5. How do you handle encrypted cloud app abuse through services like DocuSign?

Our Zero Trust Architecture, with AI threat detection, protects even the most complex environments against emerging AI-powered threats.

How can I protect my organization from LinkedIn-based attacks?

With a 245% surge in LinkedIn-based attacks, organizations need dedicated protection strategies. Start by creating clear policies for external communication, implement security awareness training focusing on social media threats, deploy solutions that can monitor message patterns across platforms, and implement browser-level protection that analyzes code execution when pages load. Teams implementing our managed security infrastructure have reported significantly improved detection rates for LinkedIn-based attacks through our multi-channel threat monitoring capabilities.

When will we see fully automated AI generated attacks?

Based on dark web research and observed development patterns, we anticipate the first fully automated AI-generated attacks to emerge within the next 6-12 months. These will likely use chained Small Learning Models (SLMs) to research targets, craft personalized messages, and execute multi-channel attacks without human intervention. The affiliate structure of cybercriminal organizations means once this capability becomes available, it will rapidly proliferate across thousands of attackers simultaneously. Our clients leveraging The ONE Platform have already begun preparing their defenses for this next evolution of threats.

What security gaps exist in mobile device protection?

Mobile devices represent a significant blind spot in most security architectures. Traditional SSL inspection tools often break applications due to SSL pinning, leaving smartphones vulnerable to phishing attacks via SMS, social media, and messaging apps. As attackers increasingly target these channels—with a 187% increase in SMS phishing in 2024 alone—organizations need dedicated mobile protection solutions. Companies implementing our Zero Trust Architecture consistently report improved visibility into mobile threats that previously remained undetected in their security stack.

How realistic are AI-generated voice impersonations?

AI-generated voice technology has reached concerning levels of realism. Modern voice synthesis can create natural-sounding speech that mimics human conversation patterns, complete with natural pauses, filler words, and authentic intonation. These voices are increasingly capable of deceiving people on phone calls, particularly in high-pressure scenarios when combined with other social engineering tactics. Our clients implementing military-grade security services have found that cross-channel behavior analysis significantly improves their ability to identify these sophisticated voice-based social engineering attempts.

Cross platform security threats showing AI-powered ransomware attacks using ChatGPT Deepseek Gemini and Claude for advanced social engineering across multiple communication channels
Cross platform security showing Bitcoin cryptocurrency ransomware attacks targeting small businesses through AI-powered social engineering across multiple communication channels

Phishing Attacks

How should security awareness training evolve to address non-email threats?

Traditional security awareness training focuses heavily on email threats, creating dangerous blind spots. Modern training must evolve to include:

  • Platform-specific phishing scenarios (LinkedIn, Teams, Slack, WhatsApp)
  • Recognition of cross-channel attack patterns
  • Authentication and verification procedures for all communication methods
  • Personal device security for BYOD environments
  • Social media privacy and security best practices
  • Recognition of deepfake and AI-generated content
  • Response procedures for suspected messaging-based attacks

Our comprehensive training programs address the full spectrum of modern communication threats beyond traditional email security.

What are the warning signs of a non-email phishing attempt?

While sophisticated attacks are becoming harder to detect, key warning signs of non-email phishing attempts include:

  • Unexpected message requests through platforms like LinkedIn, Teams, or SMS
  • Urgent requests that require immediate action
  • Messages containing unexpected attachments or links
  • Slight variations in usernames or account details
  • Requests for sensitive information or authentication credentials
  • Communication that creates a sense of opportunity or fear
  • Messages that bypass normal business processes

Our platform's behavioral detection capabilities can identify these suspicious patterns even in sophisticated attacks.

What makes SMS and messaging app phishing (smishing) so dangerous?

SMS and messaging app phishing, or "smishing," is particularly dangerous for several reasons:

  • Limited security controls compared to email
  • High trust factor (messages typically come from known contacts)
  • Urgency in responses (90% of text messages are read within 3 minutes)
  • Simplified messages that hide suspicious elements
  • Difficult to verify sender authenticity
  • Lack of corporate visibility into personal devices

In 2024, smishing attacks increased by 312%, with targeted messages often impersonating executives or IT support. Our platform's advanced threat detection identifies and blocks suspicious messages across all channels.

How are attackers exploiting LinkedIn for social engineering?

LinkedIn has become a prime target for sophisticated social engineering attacks with a 245% surge in 2024. Attackers create convincing professional profiles, build relationships over time, and exploit professional trust. Common tactics include sending malicious files through LinkedIn messaging, creating fake job opportunities, and impersonating trusted colleagues to request sensitive information. These attacks bypass traditional email security entirely. Our Managed IT team can help identify and block these sophisticated social platform threats.

What cybersecurity threats exist beyond email phishing?

Today's threat landscape extends far beyond traditional email phishing. Attackers are increasingly targeting messaging apps (Slack, Teams, WhatsApp), social media platforms (LinkedIn, Facebook), SMS/text messaging, collaboration tools, and even calendar invites. These channels often lack the robust security controls found in email systems, creating dangerous blind spots. Our military-grade security platform delivers comprehensive protection across all communication channels, not just email.

How attackers exploit LinkedIn, SMS and Social Platforms

The stakes couldn’t be higher as attack patterns evolve dramatically. In one recent incident documented by SlashNext, attackers launched 1,165 emails at just 22 target mailboxes within 90 minutes—over 50 messages per user—attempting to overwhelm inboxes and trigger panic-clicking. These rapid-fire tactics create the perfect environment for follow-up attacks through alternative messaging channels, bypassing traditional email security entirely. In this expert cybersecurity panel, Ridge IT and SlashNext reveal how attackers are exploiting LinkedIn, SMS, and social platforms while bypassing traditional email security.

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