Beyond the Model: The Build vs. Buy Decision for AI Pentesting
Most security teams can stand up an AI pentesting proof of concept in a matter of weeks. The harder challenge is turning that POC into a dependable, production-grade capability, and deciding whether to build it in-house or bring in an established platform.
Read how Dow's Cybersecurity Engineering team worked through that decision alongside Synack Co-Founder and CTO Mark Kuhr and Solutions Architect Tim Nordvedt.
3 Voices
Dan Lacher of Dow joins Synack's Mark Kuhr and Tim Nordvedt to unpack the build vs. buy decision.
5 Hidden Costs
The token spend, re-testing, orchestration and standing headcount that a build estimate often leaves out.
5 Questions
A checklist to pressure-test any AI pentesting POC before you commit to building or buying.
"Force Multiplier"
How Dow's Dan Lacher describes extending his internal red team with Synack, rather than building in-house.
Read the Build vs. Buy Executive Brief
Explore the full breakdown of hidden build costs, the questions to ask before committing engineering headcount and Dow's own path through the build vs. buy decision.
No form required.
See What a Production-Ready AI Pentesting Capability Looks Like
Before you commit engineering headcount to a build, see how Synack's platform, AI models and human validation work together in practice.
Watch the Conversation
Hear the complete customer fireside chat between Dow and Synack on how they approached the build vs. buy decision.
Request a Build vs. Buy Assessment
Talk through how the build vs. buy considerations in this brief apply to your own environment.
Start Your Sara AI Pentest
Experience the harness, guardrails and human validation layer that a build decision has to replicate from scratch.
AI Finds More.
Humans Prove What Matters.
Continuous Pentesting at Scale
Synack combines Sara AI Pentesting, the Synack Red Team and the Synack Platform to expand testing coverage, prove real-world exploitability and turn trusted findings into action.
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