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Head-to-head · Intrusion Detection and Prevention Software

Trellix Intrusion Prevention System vs AhnLab AIPS

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Trellix Intrusion Prevention System #4 in Intrusion Detection and Prevention Software 8.8/10 Pricing on request ✓ 4 of 4 features Visit Trellix
AhnLab AIPS #5 in Intrusion Detection and Prevention Software 8.6/10 Pricing on request ✓ 3 of 4 features Visit AhnLab

Trellix Intrusion Prevention System leads on 1 check, AhnLab AIPS on 0, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreTrellix Intrusion Prevention System · 8.8/10
  • Most featuresTrellix Intrusion Prevention System · 4 of 4

Trellix Intrusion Prevention System scores higher on our rubric for intrusion detection and prevention software: 8.8 against 8.6 out of 10; our editors rank them #4 and #5.

On deployment model, Trellix Intrusion Prevention System gives you Hybrid where AhnLab AIPS offers Appliance. On network scope, Trellix Intrusion Prevention System gives you Multi-scope where AhnLab AIPS offers Network. Trellix Intrusion Prevention System offers cloud workload support; AhnLab AIPS doesn't. On supported platforms, Trellix Intrusion Prevention System gives you Cloud where AhnLab AIPS offers Network.

Trellix Intrusion Prevention System is the better fit for broad hybrid IPS and malware defense. AhnLab AIPS is the better fit for network appliances with detailed IPS controls.

  • Trellix Intrusion Prevention System fits best

    Broad hybrid IPS and malware defense

  • AhnLab AIPS fits best

    Network appliances with detailed IPS controls

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Trellix Intrusion Prevention System 8.8/10 Visit ↗ AhnLab AIPS 8.6/10 Visit ↗
At a glance
Editor score 8.8 8.6
Ranking #4 in Intrusion Detection and Prevention Software #5 in Intrusion Detection and Prevention Software
Best for Broad hybrid IPS and malware defense Network appliances with detailed IPS controls
Pricing model Paid Paid
Starting price Pricing on request Pricing on request
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web, Linux, Windows Web
Integrations 5 integrations 1 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Trellix Intrusion Prevention System 4/4 · AhnLab AIPS 3/4
Inline blocking ✓ ✓
Encrypted traffic inspection ✓ ✓
Cloud workload support ✓ (best) —
Threat intelligence ✓ ✓
Specs
Deployment model Hybrid Appliance
Network scope Multi-scope Network
Supported platforms Cloud Network
Our review
Pros
  • Combines inline blocking with signatureless, behavioral, and reputation-based detection
  • Inspects inbound and outbound SSL traffic and supports malware emulation
  • Integrates with Trellix security tools and AWS Gateway Load Balancer
  • Combines signature and behavior-based network attack detection
  • Inspects SSL traffic and supports inline, SPAN, and TAP modes
  • Controls applications, zones, URLs, and policies centrally via AhnLab TMS
Cons
  • Requires a sales contact for pricing
  • Its broad feature set may exceed the needs of focused IPS deployments
  • Centralized web management does not replace deployment planning across environments
  • Designed for network appliances rather than cloud workloads
  • Purchasing requires a contact-sales process
  • Centralized management is provided through the AhnLab TMS integration
Our verdict

Trellix Intrusion Prevention System protects network traffic across on-premises, virtual, hybrid, and cloud environments. It is designed for organizations that need more than basic signature matching, with detection and prevention for…

Read the review →

AhnLab AIPS is a network intrusion prevention system for organizations and data-center environments. It detects and blocks network attacks, malware, vulnerability exploitation, malicious behavior, and command-and-control connections…

Read the review →
  1. Trellix Intrusion Prevention SystemIntrusion Detection and Prevention Software 8.8Pricing on request
  2. AhnLab AIPSIntrusion Detection and Prevention Software 8.6Pricing on request

Strengths and trade-offs

  • Trellix Intrusion Prevention System — where it wins

    • Combines inline blocking with signatureless, behavioral, and reputation-based detection
    • Inspects inbound and outbound SSL traffic and supports malware emulation
    • Integrates with Trellix security tools and AWS Gateway Load Balancer

    Where it doesn't

    • Requires a sales contact for pricing
    • Its broad feature set may exceed the needs of focused IPS deployments
    • Centralized web management does not replace deployment planning across environments
  • AhnLab AIPS — where it wins

    • Combines signature and behavior-based network attack detection
    • Inspects SSL traffic and supports inline, SPAN, and TAP modes
    • Controls applications, zones, URLs, and policies centrally via AhnLab TMS

    Where it doesn't

    • Designed for network appliances rather than cloud workloads
    • Purchasing requires a contact-sales process
    • Centralized management is provided through the AhnLab TMS integration
  • Trellix Intrusion Prevention System8.8/10 · Pricing on request

    A broad hybrid IPS for organizations needing inline blocking and malware defense.

    Visit TrellixFull verdict →
  • AhnLab AIPS8.6/10 · Pricing on request

    A focused network IPS for appliance-based deployments and granular policy control.

    Visit AhnLabFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update