CYBERDISE launches Behavioral Defense Engineering for AI-era cyber threats

10 hours ago
By AI, Created 08:10 UTC, Jun 23, 2026, AGP -

CYBERDISE said June 23, 2026, it is introducing Behavioral Defense Engineering and version 3.2 of its platform to turn employee behavior into a live security signal. The company says the approach is designed to help organizations respond faster to phishing and other AI-driven social engineering attacks.

Why it matters: - CYBERDISE is betting that cybersecurity needs to measure behavior, not just train people to recognize threats. - The company says AI-driven social engineering has made personalized attacks harder to stop with traditional awareness programs alone. - The shift is aimed at turning employees into a faster source of security intelligence when technical defenses miss an attack.

What happened: - CYBERDISE introduced Behavioral Defense Engineering, or BDE, as a new operating model for human-focused cyber defense. - The company launched CYBERDISE V3.2 to provide the platform layer for the new approach. - The announcement was made June 23, 2026, in Zug, Switzerland. - CYBERDISE said the goal is to make human behavior a measurable part of active IT security processes.

The details: - CYBERDISE said BDE continuously measures live behavior in real-world scenarios instead of relying on training videos or multiple-choice quizzes. - The company said human reactions are turned into an early warning framework called a Cyber Defense Intelligence System. - Palo Stacho, founder of CYBERDISE, said traditional awareness changes knowledge while BDE changes how people act. - Stacho said AI-driven social engineering now reaches people through multiple channels and can bypass the Security Operations Center. - Dr. Carlo Pugnetti of HSLU said employees can be an effective first line of defense when the right tools are deployed at the right time. - CYBERDISE said version 3.2 adds multi-channel attack simulations for phishing, smishing, vishing, quishing and Microsoft Teams threats. - CYBERDISE said its Educational Vulnerability Profiles use AI-powered OSINT to analyze publicly available employee data and run personalized attack simulations in real time. - CYBERDISE said SOC infrastructure integration automates workflows and shortens the time from a reported signal to active incident response. - CYBERDISE said the platform can convert a real phishing attack into a safe simulation after the SOC identifies and removes the threat from user mailboxes. - The company said that process exposes employees to a copy of the live attack in real time and helps inoculate them against that threat vector. - CYBERDISE said it continues to offer a fully functional Freemium Edition for download. - The company said it has more than 500,000 licensed users. - CYBERDISE said it was founded in 2023 and is headquartered in Zug, Switzerland. - The company said it combines behavioral science with AI-powered tools for incident reporting, attack simulation, rapid incident response and traditional training. - More information is available in the company's announcement. - CYBERDISE also shared its LinkedIn page.

Between the lines: - The announcement positions human behavior as an operational control, not a soft-skills issue. - That framing suggests CYBERDISE is targeting the gap between awareness training and real-world response. - The focus on live attack conversion and real-time simulations points to a product strategy built around immediate reinforcement, not periodic training.

What's next: - CYBERDISE is making the Freemium Edition available to broaden adoption across organizations of different sizes. - The company is likely to lean on the V3.2 platform to show that behavioral signals can improve incident response speed and resilience against AI-assisted attacks. - Wider uptake will depend on whether security teams see measurable gains in reporting speed and user response quality.

The bottom line: - CYBERDISE is trying to redefine awareness training as an active defense layer, with software that reacts to real attacks in real time.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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