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CybersecuritySecurity NewswireCybersecurity News

6 Cyber Experts Share Their Greatest Security Scares

By Jordyn Alger, Managing Editor
Halloween Cyber Scares
XH4D / iStock / Getty Images Plus / Via Getty Images
October 30, 2026

1. Triple-Threat Convergence

Randolph Barr, Chief Information Security Officer at Cequence Security:

What keeps me up at night isn’t a single exploit. It’s three things converging, and the first is the one that haunts me most: distraction. Every week brings a new headline about AI-driven attacks, and some of it is pushing companies into panic, even to the point of considering pulling services off the internet. That fear travels from the Board to the ELT to me, and then to my team. Sometimes it’s faster to address a concern than to debate it, but each detour pulls us away from the real work of revisiting our foundational security program for the AI era. The scariest outcome is a team so busy reacting to the hype that it neglects the fundamentals.

Second, the speed of agent adoption worries me heading into the holidays. Connected agents are being introduced faster than policies and processes can keep up, which means controls are often missed or applied after the fact. And this isn’t just about the company I advise. It’s every business I rely on when I order or transact online. Finally, it gets personal: my family. Phishing is now easy to personalize using information found online, and the instincts I built 25 years ago no longer apply. The people I love most are often the least aware of how sophisticated these attacks have become.

2. Digital Ghosts 

Morey Haber, Chief Security Advisor at BeyondTrust:

What scares me most in cybersecurity today is not ransomware, zero-day vulnerabilities, or even artificial intelligence itself. It is the growing number of non-human identities and autonomous AI agents operating inside organizations with privileges that nobody fully understands, monitors, or controls. These digital ghosts can access sensitive information, execute transactions, modify configurations, and interact with critical systems, often without meaningful human oversight. Unlike traditional insider threats, these identities do not sleep, take vacations, or necessarily stop when their original purpose disappears. They can become the ultimate invisible insider threat, especially when compromised by a threat actor.

The real nightmare begins when an organization cannot distinguish between a legitimate AI agent performing an authorized task and a compromised identity operating with excessive privileges. Imagine a haunted house where every door is unlocked, every ghost has a master key, and nobody knows how many ghosts are inside. That is the emerging reality of unmanaged machine identities and agentic AI. As we approach Halloween, my biggest concern is that organizations are creating digital monsters faster than they can establish the guardrails to control them. The scariest threat is not the ghost in the machine. It is discovering that we gave the ghost privileged access and forgot how to revoke it.

3. The Gulf Between Vulnerability and Protection

Diana Kelley, Chief Information Security Officer at Noma Security:

My “scare” is the gap between how quickly attackers and defenders, assisted by AI, can find vulnerabilities vs how quickly organizations can address them. AI is accelerating discovery, but companies still have years of legacy security debt to untangle. Patches don’t always exist, and even when they do, deploying them safely can take time, leaving a window of opportunity for attackers. And closing exploit paths often requires finding and fixing multiple software vulnerabilities and configuration errors. Turning findings into protection takes prioritization and time to fix what matters most.

4. Wave After Wave of Attacks

Andy Boyd, CEO at REDLattice:

Nation-states with the right infrastructure, experienced talent, and ongoing AI literacy are positioned to use AI as a force multiplier, enabling these organizations to greatly increase the amount of malicious software generated and deployed with minimal to no increase in their workforce. This means that attacks will be coming at a much greater pace, providing less time to react and correct before the next wave of attacks occur. That’s scary.

5. Insufficient Legacy Practices 

Sean Malone, Chief Information Security Officer at BeyondTrust:

What scares me most are the legacy practices and operational debt that continue to put major enterprises and critical infrastructure operators at significant risk of a material cyber event. There’s an accelerating flood of AI-discovered and weaponized critical vulnerabilities fed into AI-enabled exploitation campaigns operating at machine speed. Technical debt and poor security practices were accepted for many years because they required substantial human effort to find & exploit — but that is no longer the case.

There are solutions to all these problems, but it requires that organizations evolve more quickly than ever before. To rise to this challenge, leaders must take bold, decisive action to reduce the attack surface, drive down tech debt, patch immediately when updates are available, and embrace AI in cyber defense operations. Above all, plan resiliency into business operations and ensure that your organization can withstand a higher level of disruption. 

6. A Haunting Paradox: Doing More, Getting Less

 Lisa Bilawski, Risk Operations Center at Qualys:

There’s a haunting paradox that should be top of mind for security teams everywhere. Security teams are doing more vulnerability remediation than ever before. They’re patching faster, scanning deeper, and closing more tickets than any team in history, however, attackers exploit systems at an alarming rate, faster than ever before.

Research by the Qualys Threat Research Unit found that while the effort to address vulnerabilities went up, exposure still rose alongside it. According to the research, effort was allocated by volume and severity score instead of by evidence of what attackers were using. As a result, enterprises did far more work and ended up further behind. Closures rose from 73 million in 2022 to 473 million in 2025, a 6x increase in output, while the share of critical vulnerabilities still open at day seven rose from 56% to 63%. More effort produced less coverage where it counted.

The reason traces back to how that effort gets allocated in the first place. Less than 1% of vulnerabilities are actively exploited, which means a program built around volume and severity score spends most of its effort on vulnerabilities attackers were never going to use. The 6x increase didn’t close the gap since most of that work was never aimed at the 1% that mattered.

In a digital age where attacks are happening faster than teams can keep up, the teams still haunted by their own remediation metrics are the ones still asking the old questions: how many vulnerabilities can we close? What’s the CVSS score? How long before we remediate? The organizations that are getting safer are asking a different set of questions: Is this actively being exploited? What’s the evidence? Which assets are at risk? What can we automate?

It’s crucial to remember that diligence is non-negotiable; the real key lies in prioritizing the vulnerabilities that wield the greatest impact.

A Few Scary Stats That Should Keep Everyone Up at Night

  • AI-generated attacks have increased 56% between March 2025 and February 2026, adding $1 million in cost per breach to the baseline cost.
  • Every hour a breach remains active costs organizations roughly $1,100 in operational disruption, lost productivity, and incident response overhead. Globally, a breach averages about $5 million per incident, up 12% from last year.
  • Research by the Qualys Threat Research Unit found that effort was allocated by volume and severity score instead of by evidence of what attackers were using. Closures rose from 73 million in 2022 to 473 million in 2025, a 6x increase in output, while the share of critical vulnerabilities still open at day seven rose from 56% to 63%.
  • Across the most critical, actively exploited vulnerabilities over the past four years, manual remediation processes failed to keep pace with attackers 88% of the time, and half were weaponized before a patch existed.
KEYWORDS: artificial intelligence (AI) convergence identity (ID) management nation-state attack vulnerability management

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Jordynalger

Jordyn Alger is the managing editor for Security magazine. Alger writes for topics such as physical security and cyber security and publishes online news stories about leaders in the security industry. She is also responsible for multimedia content and social media posts. Alger graduated in 2021 with a BA in English – Specialization in Writing from the University of Michigan. Image courtesy of Alger

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