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The CISO’s Guide: When AI Helps vs. Hurts Security – new Secure.com guidance

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David Marshall | Published: April 1, 2026

While AI can speed up the SOC, it can also quietly create a plethora of new risks.

Dubai-based Secure.com has published “The CISO’s Guide: When AI Helps vs. Hurts Security,” examining both sides of the issue.  

Uzair Gadit, Founder & CEO of Dubai-based Secure.com, said: “Security vendors will tell you AI solves everything. Your analysts will tell you it sometimes makes things worse. Both are right. The real job is knowing which situation you are in because the problem CISOs face isn’t whether to deploy AI, it’s misplaced trust.”

With research revealing that 76% of CISOs reporting that they expect a material cyberattack in the next 12 months, most report that their organizations are already using AI in some form.

The Guide examines issues such as:

  • Where AI Best Delivers for the SOC:  AI doesn’t think, it predicts, and every model’s no better than the data it was trained on.

Successful AI adoption isn’t about replacing L1 analysts, it’s augmenting them with a Digital Security Teammate that never sleeps and never gets tired. The AI gathers context, correlates events, filters duplicates, and hands your analyst a ready-to-review case file instead of a raw alert.

  • Where and How AI Can Quietly Hurt an Organization: AI failing loudly isn’t the main problem. AI failing quietly is.

The CISO’s Guide discusses both sophisticated attacks that fall outside the training data, and the implications of shadow AI.

  • Important Questions to Ask Before Deploying Any AI Security Tool: Every AI system makes mistakes. The question is whether mistakes are recoverable.
  • Building a Security Program Where AI and Humans Work Together: 73 percent of security decision-makers said they are more likely to consider a security solution using AI, up from 59 percent a year ago, according to a recent CSO Online Security Priorities Study. That number shows that the market is moving fast.

Moving fast without guardrails creates problems that this guide helps CISOs avoid through guardrails, governance and clear accountability.

  • Metrics: Achieving successful deployment at scale requires assessment at every step.  

The Guide provides concrete steps for building a security program where AI and humans work together. It stresses the importance of building internal AI policies *before* employees build workarounds, and how Secure.com’s SOC Teammate aids organizations with human-in-the-loop governance with full explainability, auditability and override/rollback ability for any automated action.

The SOC Teammate works as an AI-driven teammate inside existing SOC workflows, not as another dashboard to check. It connects to SIEM, EDR, cloud platforms and identity systems through Secure.com’s integration platform (supporting 200+ integrations), pulling everything into one unified view.

When an alert fires, the SOC Teammate immediately starts working: it triages the alert, enriches it with context from across the stack, correlates it with related events, and surfaces a ready-to-review case file for the analyst. What used to take 30 minutes of manual work happens in under three minutes.

The real question is no longer “Ahould we use AI?”

It’s “Are we using it in the right places?”

“The CISO’s Guide: When AI Helps vs. Hurts Security” answers that pivotal question clearly, concisely and candidly.