DeepKeep Automated AI Red Teaming vs Filigran OpenAEV: Side-by-Side Comparison (2026)

DeepKeep Automated AI Red Teaming

Teams shipping GenAI applications into production need DeepKeep Automated AI Red Teaming because it catches prompt injection and jailbreak failures that static code review misses entirely. The platform tests across applications, models, and agents in a single workflow, and its impact-based categorization means you'll spend less time triaging false positives than you would with manual red teaming or generic vulnerability scanners. Skip this if your organization is still in the pilot phase with GenAI; the cost and operational overhead only make sense once you have multiple models or agents in active use.

Filigran OpenAEV

Mid-market and enterprise teams with mature EDR deployments will get the most from Filigran OpenAEV because it validates whether your existing detection stack actually catches real attacks instead of just assuming coverage. The platform's MITRE ATT&CK-aligned simulation library and AI-assisted scenario creation mean you're testing threats your environment actually faces, not generic templates, and the agentless architecture lets you start validating immediately without EDR replacement costs. Skip this if you need a turnkey solution that works without an EDR already in place; OpenAEV assumes you own the detection layer and want to stress-test it.