TrendAI™
Security Blog

AI Frontier Labs Can Slow Down. Defenders Can’t Afford To.

The AI Frontier pacing argument assumes enterprise risk comes from frontier models being too powerful or misaligned. But that argument assumes that if labs build safer models, enterprises will be safer. That's not exactly how it works. AI frontier labs can slow down, but defenders can’t afford to.

September 23rd, 2026 3 min read Rachel Jin

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Global Public Sector Under Siege: Threat Intelligence for Q2 2026

In the second quarter of 2026, threats to the public sector have become increasingly persistent: from AI-generated ransomware, nation-state espionage, supply chain attacks, and many more, critical institutions face a rapidly growing range of risks.

September 16th, 2026 Jon Clay, VP of Threat Intelligence, TrendAI™

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Zero Breaches Out of 50: TrendAI Vision One™ Endpoint Security Essentials Earns AV-Comparatives Certified Leader Status

September 15th, 2026 Jay Yaneza

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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.

September 11th, 2026 Sanjana Sadh

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TrendAI™ Brings OpenAI's GPT Cyber Models Into the Race to Shrink Exposure Time to Zero

OpenAI’s GPT cyber models help TrendAI™ close the exposure window, from vulnerability to fix, faster than ever.

September 3rd, 2026 Rachel Jin

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ATF Reports Breach After Qilin Leak Site Appearance: Insights from TrendAI™

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.

August 28th, 2026 TrendAI™ Research

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Inside SHADOW-WATER-084: A Steganographic Loader-as-a-Service Delivering Remcos, LXBASE, and More

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.

August 27th, 2026 30 min read Ahmed Mohamed Ibrahim, Ashish Verma, Deep Patel

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TrendAI™ Advances Threat Hunting to Dynamic, Real-World Exploitation of AI Infrastructure

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.

August 26th, 2026 20 min read Deep Patel, Ashish Verma

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Ranked First on CyberGym: TrendAI™ Agentic Exploit-Remediation Engine Scores 97% on the Top Exploit Benchmark

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.

August 26th, 2026 3 min read Peter Girnus

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UK Power Facility Cyberattack Shutdown: What Critical-Infrastructure Operators and Defenders Need to Know

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.

August 24th, 2026 6 min read TrendAI™ Research

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