The AI brain in cyber defense: Why humans still need helmets.

The new battlefield: AI vs AI in cybersecurity

Artificial intelligence has quietly shifted from hype to reality in security. And it’s playing both sides.

On one hand, attackers are using AI to become faster and more convincing. A cloned voice urging an urgent wire transfer. Malware that rewrites itself to slip past defenses. Phishing emails that feel eerily personal. What used to take weeks of preparation can now be launched in a matter of hours.

 

On the other hand, defenders are leaning on AI as well. Modern tools analyze behavior instead of just static rules, catch anomalies in real time, and even roll back the damage from ransomware. Good AI is helping security teams cut through the noise and focus on real threats before they spiral.

 

The truth is, the battlefield is now AI against AI: bad AI attacking, good AI defending.

 

But there’s a missing piece in this picture. Even the best defensive AI can’t replace human judgment. The ability to question a request that feels “off,” to pause before trusting a familiar voice, to lead when the dashboard doesn’t give a clear answer. Technology can stop malware, but only people can build resilience.

 

What this shift means for security teams

  1. AI solves problems but creates new ones too.
    For every clever defense, attackers find a counter. It’s an arms race with no final winner.
  2. Automation can hide blind spots.
    AI reduces noise, but it can also leave teams blind to what the system doesn’t catch. Over-trusting “the black box” is a risk on its own.
  3. People are still the difference.
    A trained employee who hesitates before acting on a suspicious request can prevent damage before any tool kicks in.

 

 

Building resilience beyond the dashboard

This is where many organizations fall short. AI tools add speed and coverage, but they don’t build the instincts a real incident demands. When pressure is high and the attack doesn’t look like the last one, teams need practice, not just policy. Without that readiness, even the most advanced security stack becomes fragile.

 

 

How Cyber Helmets fits in

That’s where Cyber Helmets comes in. Our mission is to prepare professionals for this new era of AI-powered threats, not with theory, but with live-fire training that mirrors the chaos of real attacks.

  • Voice-phishing (vishing) simulations that teach how to spot AI-generated voices
  • Endpoint defense drills that show what happens when ransomware hits
  • Decision-making exercises under pressure, where judgment matters more than dashboards

 

Schedule your briefing

AI may defend your endpoints, but only trained people can defend your business. If your team is facing AI-powered threats, don’t just rely on tools, equip them with training that builds confidence under fire. At Cyber Helmets, we prepare professionals to think and act when AI can’t.

 

Book a Cyber Helmets briefing and see how live-fire training delivers resilience you can measure in real results.

 

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Syllabus:

Intro to GCP

  • GCP Hierarchy
  • Google Workspace
  • gcloud config
  • Basic Hacking Techniques

Exploitation of GCP Services

  • IAM
  • KMS
  • Secrets 
  • Storage
  • Compute Instances & VPC
  • Cloud Functions
  • CloudSQL
  • Pub/Sub
  • App Engine
  • Google APIs
  • Cloud Shell

Methodologies

  • White box

Security Services

  • GCP Logging & Monitoring

Syllabus:

Intro to AWS

  • AWS Organization
  • AWS Principals
  • Basic Hacking Techniques

Exploitation of AWS Services

  • IAM
  • STS
  • KMS
  • Secrets Manager
  • S3
  • EC2 & VPC
  • Lambda
  • RDS
  • SQS
  • SNS

Methologies

  • White box

Common Detection Mechanisms

  • CloudTrail

Syllabus:

Azure Basics

  • Azure Organization
  • Entra ID
  • Azure Tokens & APIs
  • Basic Enumeration Tools

 

Exploitation of Azure Services

  • Entra ID IAM
  • Azure IAM
  • Azure Applications
  • Azure Key Vault
  • Azure Virtual Machine & Networking
  • Storage Accounts
  • Azure File Share
  • Azure Table Storage
  • Azure SQL Database
  • Azure MySQL & PostgreSQL
  • Azure CosmosDB
  • Azure App Service
  • Basic Azure Research Technique
  • Azure Function Apps
  • Static Web Apps
  • Azure Container Registry
  • Azure Container
  • Instances, Apps & Jobs
  • Azure Queue
  • Azure Service Bus
  • Azure Automation Account
  • Azure Logic Apps
  • Azure Cloud Shell
  • Azure Virtual Desktop

 

Methologies

  • White box
  • Black box
  • Pivoting between Entra ID & AD

 

Common Detection Mechanisms

  • Azure & Entra ID Logging & Monitoring
  • Microsoft Sentinel
  • Microsoft Defender for Cloud & Microsoft Defender EASM

Fundamentals and Setup

  1. Overview of Android’s architecture and ecosystem dynamics.
  2. Exploration of security features native to Android using Java, Kotlin, C++, and Rust.
  3. Mobile Application Threat Model
    a) Differences between mobile and web application threat models.
    b) Applying threat modeling techniques specifically to mobile applications.
    c) Case studies highlighting potential threats and vulnerabilities.
    d) How do we secure and test cross platform apps (e.g. ReactNative, Xamarin, etc).
  4. Introduction to industry mobile security standards
    a) OWASP Mobile Application Security (MAS) project
    b) Effective usage of the Mobile Application Security Verification Standard (MASVS).
    c) Effective usage of the Mobile Security Testing Guide (MSTG).
    d) Overview of the OWASP top 10 for mobile.
  5. Setting up and preparing a mobile security testing lab
    a) Configuration of industry-standard tools and guidance on their appropriate use.
    b) Setup of virtual mobile devices using Corellium, including its advantages.
    c) Introductory exercises to familiarize with the tools.
  6. Secure Coding Overview
    a) Exercises to identify vulnerabilities in code examples
    b) Discussion of the appropriate mechanisms for remediation
    c) Practical session on remediation and re-testing the app
  7. Secure storage
    a) Overview of application storage mechanisms.
    b) Introduction to cryptographic storage solutions on Android.

Advanced Techniques and Practical Application

  • Mobile penetration testing methodology
    a) Methodologies used in real-world scenarios with practical tips and tricks.
  • Identifying issues with backend APIs
    a) Examination of client-side trust issues.
    b) Analysis of insecure communications including certificate validation and pinning.
  • Cryptography in Android apps
    a) Utilization of Android’s Crypto APIs.
    b) Implementation of native cryptography using libraries like libnacl and OpenSSL.
    c) Management of cryptographic keys.
  • Authentication and Authorization
    a) Testing client-side authentication mechanisms, including secure usage of biometrics.
    b) Strategies to detect and bypass authentication flaws.
    c) Security measures for API authentication.
  • Android IPC
    a) Detailed exploration of Intents, deep links, Binders/services, and broadcast receivers.
  • Webviews
    a) Identifying and resolving common security issues in Android Webview configurations.
  • Software Composition Analysis (SBOM)
    a) Techniques to determine the components of an Android app.
    b) Identifying known vulnerabilities within these components.
  • Mobile Device Management (MDM)
    a) Introduction to Mobile Device Management: definition, core features, and its role in enhancing organizational security.
    b) Discussion on the benefits and practical applications of MDM in controlling and securing mobile devices across an enterprise.
  • Mobile Application Management (MAM)
    a) Overview of Mobile Application Management: what it entails and its significance in enterprise environments.
    b) Exploration of how MAM contributes to managing and securing applications specifically, detailing its utility for enterprise security strategies.

Advanced Techniques and Practical Application

  • Mobile penetration testing methodology
    a) Methodologies used in real-world scenarios with practical tips and tricks.
  • Identifying issues with backend APIs
    a) Examination of client-side trust issues.
    b) Analysis of insecure communications including App Transport Security issues & certificate pinning.
  • Cryptography in IOS apps
    a) Utilization of iOS’s CryptoKit & CommonCrypto APIs.
    b) Implementation of native cryptography using libraries like libnacl and OpenSSL.
    c) Management of cryptographic keys and leveraging the secure enclave.
  • Authentication and Authorization
    a) Testing client-side authentication mechanisms, including secure usage of Local Authentication (biometrics).
    b) Strategies to detect and bypass authentication flaws.
    c) Security measures for API authentication.
    d) Using Device Check and App Attest
  • iOS IPC
    a) Detailed exploration of URL schemes, deep (universal) links, and extensions.
  • Webviews
    a) Identifying and resolving common security issues in iOS Webview configurations.
  • Software Composition Analysis (SBOM)
    a) Techniques to determine the components of an iOS app.
    b) Identifying known vulnerabilities within these components.
  • Implementing App Integrity
    a) What to look for
    b) How to implement
  • Mobile Device Management (MDM)
    a) Introduction to Mobile Device Management: definition, core features, and its role in enhancing organizational security.
    b) Discussion on the benefits and practical applications of MDM in controlling and securing mobile devices across an enterprise.
  • Mobile Application Management (MAM)
    a) Overview of Mobile Application Management: what it entails and its significance in enterprise environments.
    b) Exploration of how MAM contributes to managing and securing applications specifically, detailing its utility for enterprise security strategies.

Fundamentals & Setup

  1. Overview of iOS’s architecture and ecosystem dynamics.
  2. Exploration of security features native to to iOS using Objective-C, Swift, and C(++).
  3. Mobile Application Threat Model
    a) Differences between mobile and web application threat models.
    b) Applying threat modeling techniques specifically to mobile applications.
    c) Case studies highlighting potential threats and vulnerabilities.
    d) How do we secure and test cross platform apps (e.g. ReactNative, Xamarin, etc).
  4. Introduction to industry mobile security standards
    a) OWASP Mobile Application Security (MAS) project
    b) Effective usage of the Mobile Application Security Verification Standard (MASVS).
    c) Effective usage of the Mobile Security Testing Guide (MSTG).
    d) Overview of the OWASP top 10 for mobile.
  5. Setting up and preparing a mobile security testing lab
    a) Configuration of industry-standard tools and guidance on their appropriate use.
    b) Setup of virtual mobile devices using Corellium, including its advantages.
    c) Introductory exercises to familiarize with the tools.
  6. Secure Coding Overview
    a) Exercises to identify vulnerabilities in iOS code examples
    b) Discussion of the appropriate mechanisms for remediation
    c) Practical session on remediation and re-testing the app
  7. Secure storage
    a) Overview of application storage mechanisms.
    b) Introduction to cryptographic storage solutions on iOS.