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AI-Generated EDR Evasion: Detection and Defense Strategies Against Sophos-Identified Threats

SA
Security Arsenal Team
June 3, 2026
6 min read

The barrier to entry for sophisticated malware development has collapsed. Security Arsenal analysts are tracking a disturbing trend confirmed by recent Sophos research: threat actors are actively utilizing Large Language Models (LLMs) and AI coding assistants to generate and refine EDR (Endpoint Detection and Response) evasion tools.

This is not theoretical. We are observing malicious actors utilizing AI to rapidly iterate on code that unhooks userland API monitoring, bypasses AMSI (Antimalware Scan Interface), and obfuscates execution flows. For defenders, this means signature-based detection is becoming obsolete faster than anticipated. The time to pivot to behavioral and heuristic telemetry is now.

Technical Analysis

Affected Platforms: Primarily Windows environments utilizing modern EDR solutions, though the methodology is portable to Linux kernel module manipulation.

The Attack Vector: Generative AI is being used to author code that interacts directly with the Windows API to blind security agents. The specific techniques observed include:

  1. Direct System Calls (Syscalls): AI-generated code often implements "Hell's Gate" or "Halo's Gate" techniques. By dynamically resolving system call stubs, malware bypasses the user-mode hooks that EDRs place on functions like NtAllocateVirtualMemory or NtProtectVirtualMemory.
  2. AMSI Patching: The AI tools generate code capable of locating the AmsiScanBuffer function in memory and modifying its permissions (RWX) to patch the logic, ensuring that malicious scripts (PowerShell/C#) are never scanned.
  3. Polymorphic Padding: AI is exceptionally good at generating "junk code" or variable names that change with every compilation, creating unique file hashes for functionally identical malware, rendering static hash-based IOC lists useless.

Exploitation Status: Confirmed Active. Sophos has identified instances where threat actors used AI to debug and compile code specifically designed to evade analysis environments.

Detection & Response

Detecting AI-generated malware requires focusing on the intent of the code rather than its signature. We must hunt for the mechanics of evasion rather than the specific tool used to write it.

SIGMA Rules

These rules target the core mechanics of EDR evasion that AI-generated code inevitably relies upon.

YAML
---
title: Potential Direct System Call Usage via Stub Execution
id: 8c4e9f12-3a4b-4d5c-9e1f-2a3b4c5d6e7f
status: experimental
description: Detects patterns indicative of dynamic system call resolution (e.g., Halo's Gate/Hell's Gate) often generated by AI to bypass EDR hooks. This looks for processes accessing specific offsets in ntdll.
references:
  - https://attack.mitre.org/techniques/T1014/
author: Security Arsenal
date: 2026/04/06
tags:
  - attack.defense_evasion
  - attack.t1014
logsource:
  category: process_access
  product: windows
detection:
  selection:
    TargetImage|endswith: '\ntdll.dll'
    GrantedAccess: '0x10' # PROCESS_VM_READ
    SourceImage|contains:
      - '\powershell.exe'
      - '\python.exe'
      - '\cmd.exe'
      - '\wscript.exe'
  condition: selection
falsepositives:
  - Legitimate debugging by developers
level: high
---
title: AMSI Bypass Attempt via Memory Protection Change
id: 9d5f0a23-4b5c-5e6d-0f2a-3b4c5d6e7f8a
status: experimental
description: Detects attempts to modify memory protections of the AMSI DLL (amsi.dll) to RWX, a common technique in AI-generated evasion scripts.
references:
  - https://attack.mitre.org/techniques/T1562/
author: Security Arsenal
date: 2026/04/06
tags:
  - attack.defense_evasion
  - attack.t1562.001
logsource:
  category: process_creation
  product: windows
detection:
  selection:
    CommandLine|contains:
      - 'VirtualProtect'
      - 'amsi.dll'
    CommandLine|contains:
      - '0x40'
      - 'PAGE_EXECUTE_READWRITE'
  condition: selection
falsepositives:
  - Rare, legitimate system administration tools interacting with memory
level: critical
---
title: PowerShell Reflection Assembly Load
id: 1a2b3c4d-5e6f-7a8b-9c0d-1e2f3a4b5c6d
status: experimental
description: Detects PowerShell loading assemblies from memory or byte arrays, a technique frequently used by AI-generated malware to drop payloads without disk writes.
references:
  - https://attack.mitre.org/techniques/T1620/
author: Security Arsenal
date: 2026/04/06
tags:
  - attack.defense_evasion
  - attack.t1620
logsource:
  category: process_creation
  product: windows
detection:
  selection:
    Image|endswith: '\powershell.exe'
    CommandLine|contains:
      - '[Ref].Assembly.Load'
      - 'IEX'
      - 'Invoke-Expression'
  filter:
    CommandLine|contains:
      - 'Exchange-' # Known Exchange management scripts
      - 'LAPS' # Local Admin Password Solution scripts
  condition: selection and not filter
falsepositives:
  - Administrative scripts using reflection for legitimate management
level: medium

KQL (Microsoft Sentinel / Defender)

This hunt queries for processes manipulating the memory of critical system DLLs (like amsi.dll or ntdll.dll), a hallmark of evasion tooling.

KQL — Microsoft Sentinel / Defender
DeviceProcessEvents
| where Timestamp > ago(7d)
| where InitiatingProcessFileName in~ ("powershell.exe", "python.exe", "cmd.exe", "cscript.exe", "wscript.exe")
| where ProcessCommandLine has_all ("VirtualProtect", "0x40") // PAGE_EXECUTE_READWRITE
| or ProcessCommandLine has_all ("amsi", "dll")
| project Timestamp, DeviceName, AccountName, InitiatingProcessFileName, ProcessCommandLine, FolderPath
| order by Timestamp desc

Velociraptor VQL

This artifact hunts for unsigned modules loaded into the memory space of critical processes (like LSASS or PowerShell), which often indicates manual mapping or injection techniques used to bypass EDR.

VQL — Velociraptor
-- Hunt for suspicious modules loaded into critical processes
SELECT 
  Pid, 
  Name as ProcessName, 
  Username, 
  Mod.Name as ModuleName, 
  Mod.Path as ModulePath,
  Mod.Company as ModuleCompany
FROM process(pslist=TRUE)
SELECT * FROM foreach(row=
  {
    SELECT Name, Path, Company, ModTime
    FROM process_modules(pid=Pid)
    WHERE Name =~ "amsi.dll" OR Name =~ "ntdll.dll"
      AND (Signed == FALSE OR IsSigned == FALSE)
  }
)
WHERE ModuleCompany != "Microsoft Corporation"

Remediation Script (PowerShell)

This script verifies the integrity of critical security components and ensures EDR Tamper Protection is enabled.

PowerShell
<#
.SYNOPSIS
    Audit system defenses against AI-generated EDR evasion.
.DESCRIPTION
    Checks for the presence of AMSI, verifies EDR tamper protection status,
    and hunts for suspicious memory manipulation attempts in Event Logs.
#>

Write-Host "[+] Starting Defense Audit..." -ForegroundColor Cyan

# 1. Check AMSI Providers Status
Write-Host "[+] Checking AMSI Providers..." -ForegroundColor Cyan
$amsiProviders = Get-ChildItem "HKLM:\SOFTWARE\Microsoft\AMSI\Providers"
if ($amsiProviders) {
    foreach ($provider in $amsiProviders) {
        $name = (Get-ItemProperty -Path $provider.PSPath -ErrorAction SilentlyContinue).Default
        if ($name) { Write-Host "    Found Provider: $name" -ForegroundColor Green }
    }
} else {
    Write-Host "    [WARNING] No AMSI Providers found!" -ForegroundColor Red
}

# 2. Check Windows Defender Tamper Protection (Registry Check)
Write-Host "[+] Checking Tamper Protection Status..." -ForegroundColor Cyan
$tamperPath = "HKLM:\SOFTWARE\Microsoft\Windows Defender\Features"
$tamperStatus = (Get-ItemProperty -Path $tamperPath -ErrorAction SilentlyContinue).TamperProtection
if ($tamperStatus -eq 5) {
    Write-Host "    Tamper Protection: Enabled" -ForegroundColor Green
} else {
    Write-Host "    [WARNING] Tamper Protection is not enabled or detected." -ForegroundColor Red
}

# 3. Hunt for recent suspicious process creation (Basic Event Log Check)
Write-Host "[+] Checking recent Security Event Logs for RWX memory requests..." -ForegroundColor Cyan
$events = Get-WinEvent -LogName Security -MaxEvents 100 -ErrorAction SilentlyContinue | 
    Where-Object { $_.Message -match "VirtualProtect" -and $_.Message -match "0x40" }

if ($events) {
    Write-Host "    [ALERT] Found potential RWX memory manipulation events:" -ForegroundColor Red
    $events | Select-Object TimeCreated, Id, Message | Format-List
} else {
    Write-Host "    No suspicious memory manipulation events found in recent logs." -ForegroundColor Green
}

Write-Host "[+] Audit Complete." -ForegroundColor Cyan

Remediation

There is no specific patch for "AI-generated code," as the attack vector is the abuse of legitimate OS functionality. However, the following steps are critical for defense:

  1. Enable Kernel-Level Detection: Ensure your EDR solution utilizes kernel callbacks and ETW (Event Tracing for Windows) rather than relying solely on user-mode API hooking, which AI-generated code targets for unhooking.
  2. Strict Application Control: Implement Microsoft AppLocker or Windows Defender Application Control (WDAC) to prevent the execution of unsigned binaries and unauthorized scripts.
  3. PowerShell Constrained Language Mode: Enforce System-Wide PowerShell Constrained Language Mode via Group Policy to prevent the manipulation of .NET APIs that AI-generated scripts often abuse.
  4. Audit AI Tool Access: Review corporate proxy and DLP logs to detect unauthorized access to public AI coding interfaces (web-based LLMs) from non-development endpoints.

Related Resources

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