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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.

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.

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.

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.

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.

Traditional security tools focus on specific channels rather than analyzing the complete attack chain across multiple platforms. When attackers start with email but shift to Teams, SMS, or phone calls, your siloed security solutions miss the complete picture. Additionally, most tools don't analyze code execution when web pages load, leaving your browser—essentially an operating system—vulnerable to sophisticated JavaScript attacks. Organizations deploying The ONE Platform have consistently reported improved detection rates for these multi-channel attacks, as it provides integrated protection that follows attackers across their entire kill chain.

Attackers have developed sophisticated techniques to evade standard email security, including shifting between communication channels (email to SMS to phone), hiding malicious content in legitimate cloud apps like DocuSign, using multiple redirectors to shake off security tools, implementing "Am I Human" verification pages that block security scanners, and embedding text inside images to bypass text analysis. Our clients have found that implementing Zero Trust Architecture principles significantly improves their ability to detect these cross-channel attacks by verifying every access request regardless of which communication platform it originates from.

Black Basta has developed a sophisticated attack method using AI to sign victims up for hundreds of legitimate newsletter subscriptions, overwhelming their inbox for 30-90 minutes. This creates confusion and frustration, after which attackers contact targets through Teams messages or spoofed phone calls, impersonating IT support and offering to "fix" the email problem. Once victims download the supposed fix, their systems become compromised with ransomware. Organizations that trust us as their MSSP benefit from advanced frequency pattern analysis that detects and blocks these psychological smokescreens before they can establish a foothold in your environment.

Unlike large language models that require massive infrastructure, attackers are shifting to Small Learning Models (SLMs) that can run on a single gaming PC. This means they don't need data centers—they can operate completely anonymously using just a computer with a high-end graphics card like an NVIDIA 4080. These specialized AI models can be trained for specific attack tasks, chain together for complex operations, and operate with minimal footprint. Many of our clients have found that The ONE Platform's distributed AI detection capabilities provide the visibility they need across their entire messaging landscape to identify these emerging threats.

Traditional cybersecurity has focused heavily on email protection, but attackers are now using AI to target communication channels beyond your inbox. We're seeing sophisticated AI tools like Xanthorox emerging as "the killer of WormGPT and all EvilGPT variants," designed specifically for offensive cyber operations across multiple messaging platforms. These new threats can analyze your personal data, craft highly convincing messages, and execute attacks with minimal infrastructure requirements. Our military-grade protection framework identifies these cross-platform attack patterns before they compromise your organization, something our clients find particularly valuable when implementing our managed IT solutions.