The Boardroom Debate: How Cyber Risk Hits Your Bottom Line
You don’t need to be an expert to use cyber risk quantification. TrendAI™ automates data collection to deliver real-time financial risk insights and clear next steps for remediation.

You don’t need to be an expert to use cyber risk quantification. TrendAI™ automates data collection to deliver real-time financial risk insights and clear next steps for remediation.
OpenAI’s GPT cyber models help TrendAI™ close the exposure window, from vulnerability to fix, faster than ever.
The U.S. Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF) has reportedly appeared on the Qilin ransomware group’s leak site. Explore how Qilin operates and what organizations can learn from its past tactics.
TrendAI™ Research tracked three campaigns that ship completely different decoy applications and unrelated payloads, all riding one shared toolkit. This analysis covers the full chain, from the pixel data that hides the first stage, through a flexible shared loader to deliver multiple payloads, revealing how adversaries are standardizing their delivery mechanisms.
You don’t need to be an expert to use cyber risk quantification. TrendAI™ automates data collection to deliver real-time financial risk insights and clear next steps for remediation.
OpenAI’s GPT cyber models help TrendAI™ close the exposure window, from vulnerability to fix, faster than ever.
The U.S. Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF) has reportedly appeared on the Qilin ransomware group’s leak site. Explore how Qilin operates and what organizations can learn from its past tactics.
TrendAI™ Research tracked three campaigns that ship completely different decoy applications and unrelated payloads, all riding one shared toolkit. This analysis covers the full chain, from the pixel data that hides the first stage, through a flexible shared loader to deliver multiple payloads, revealing how adversaries are standardizing their delivery mechanisms.
The new threat hunting component of the TrendAI™ agentic exploit-remediation engine, code name AESIR, extends visibility beyond vulnerability disclosure. Its first published investigation links over a year of honeypot data to the LF3 loader framework.
The TrendAI™ agentic exploit-remediation engine, code name AESIR, ranks first on CyberGym at 97% — more than 12 points ahead of both GPT-5.6 Sol and Claude Mythos 5. AI system architecture beats raw model capability.
A reported cyberattack on a UK power-generation facility in July 2026 shows that even disruptions at a single site can raise broader questions about critical infrastructure resilience.
TrendAI™ Research provides a comprehensive analysis of the RedC2 Linux Implant, a sophisticated threat recently discovered in the npm open-source ecosystem.
In this blog entry, researchers at TrendAI Vision One™ Services – Managed Detection and Response (MDR) walk through how attackers deliver, install, and operate a reconfigured ScreenConnect client, and why it slips past defenses built to catch conventional malware.