Expands its Insider Release for its Next-Generation Platform

Key Findings

AI-enhanced malware is making malware even more difficult to detect
AI is used by adversaries to assess, adapt, and move faster than any cyber stack can keep up
The industry is trapped in a futile chase, piling on detection tools and adding AI enhancements that still fail to close the foundational gap
Enterprises now face an overwhelming flood of alerts, with many organizations reportedly beginning to limit the amount of data they ingest

AppGuard has released a new Top 10 Cybersecurity Innovators profile, spotlighting growing concerns over AI-enhanced malware
The report advocates for a fundamental change in approach, highlighting the limitations of reactive security measures
Rather than constantly adding or changing detection layers of cyber stacks, the profile emphasizes the importance of reducing endpoint attack surface

CEO Fatih Comlekoglu mentions that "You can't keep trying to tell good from bad among infinite possibilities. Not even the most magical AI can parse infinity."
The industry is trapped in a futile chase, piling on detection tools and adding AI enhancements that still fail to close the foundational gap
Enterprises now face an overwhelming flood of alerts, with many organizations reportedly beginning to limit the amount of data they ingest

Once remote control is established on an endpoint, adversarial AI reportedly adjusts the malicious process's activities in real-time to evade detection and adapt to the environment
This dramatically shortens the time defenders have to respond and exacerbates flaws in detection-based security that depend on human approvals or interventions

AI cannot parse infinity; AI can only parse what it can, faster
"Default-deny" or Zero Trust enforced within endpoints shrinks the attack surface by restricting what can run and what the running can do
AppGuard does this with 10 to 100 times fewer policy rules than alternatives, and it uniquely auto-adapts to endpoint changes and malware technique variations

AppGuard affirms that it does not rely on AI for malware detection
Instead, the company sees AI enhancing its controls-based approach to endpoint protection, including improving attack surface management, minimizing disruption to legitimate workflows, and providing clearer visibility

Following recognition in the recent cybersecurity innovators profile, AppGuard has reopened its Insider Release program
The initiative seeks experienced endpoint security professionals, particularly those at MSSPs and MSPs, to provide hands-on feedback on AppGuard's upcoming reengineered endpoint protection platform
Selected participants will have early access to deploy the new agent and cloud console, and direct influence on final features and roadmap priorities

AppGuard stops what other layers miss entirely or detect too late: zero-days, ransomware, process injection, credential theft, info-stealers, living-off-the-land techniques
Its effectiveness has been proven repeatedly in the field, including at one of the world's largest airlines, which experienced no successful malware breaches after implementing AppGuard

https://securityonline.info/appguard-critiques-ai-hyped-defenses-expands-its-insider-release-for-its-next-generation-platform/
https://hackread.com/appguard-critiques-ai-hyped-defenses-expands-its-insider-release-for-its-next-generation-platform/
https://www.devopschat.co/articles/appguard-critiques-ai-hyped-defenses-expands-its-insider-release-for-its-next-generation-platform
https://news.backbox.org/2026/01/15/appguard-critiques-ai-hyped-defenses-expands-its-insider-release-for-its-next-generation-platform/
https://x.com/shah_sheikh/status/2011847925215973635