Aligned Technology Advisers gives buyers access to real-world cybersecurity testing data from SE Labs and helps directly apply it to the decisions that matter most.

These are the most common ways enterprises use ATA.

Renewal Negotiations With Leverage

Security renewals are often driven by "value" selling rather than evidence of real-world protection.

Buyers use SE Labs testing data to:

• Validate whether renewal price increases are justified

• Compare incumbent products against alternatives

• Identify overpaid or underperforming controls

• Explain decisions to maintain, reduce, or replace spend

Faster, More Focused POCs

Shorten or eliminate POCs by starting with real-world results.

Many POCs exist to answer questions that independent testing has already resolved.

Buyers use SE Labs data to:

• Eliminate vendors before a POC begins

• Enter POCs with a narrow, informed scope

• Focus validation on environment-specific questions

• Reduce POC timelines from months to weeks

Confident Product Selection and Shortlisting

Choose products based on how they stop real attacks.

SE Labs testing evaluates full attack chains using live threats, not simulated visibility
exercises.

Buyers use this data to:

• Compare competing products using scored outcomes

• Understand where products fail under real attacker behavior

• Avoid tools that introduce protection gaps or false confidence

• Justify selections to security leadership, procurement, and the board

This enables faster, more defensible buying decisions.

Improve Threat Detection and Response

ATA can provide clients with access to vendor's most recent testing configurations and threat forensics

Buyers use these outputs to:

• Improve internal threat detection engineering

• Validate SOC visibility against real attacker techniques

• Strengthen incident response readiness

• Align internal detections to observed failure modes

Reduce Operational Friction

Security tools often introduce instability, noise, or workflow disruption.

SE Labs testing explicitly measures:

• False positives

• Detection accuracy

• Operational side effects of protection controls
  

Buyers use this data to select products that deliver protection without unnecessary friction.

Architecture Review and Stack Rationalization

Find gaps, overlaps, and unnecessary redundancy.

Enterprises often accumulate overlapping tools without clear evidence of incremental value.

Buyers use comparative testing data to:

• Identify redundant controls

• Surface protection gaps hidden by layered tooling

• Simplify architecture without increasing risk

• Prioritize future testing where it matters most
  

This enables rational, evidence-based security stack decisions.