How Augment Code Saved 743 Hours on Enterprise Security Reviews with Cyberbase

Why enterprise security reviews were consuming the team

Every enterprise deal came with a familiar pattern. A 200-question DDQ would land in the queue: encryption, access controls, incident response, and data handling. A security team member would start hunting across Confluence, Drive, and old Slack threads for the right policy version. Three days later, the answers were ready — assuming nothing had changed since last quarter.

Then the vendor contract would arrive. Liability clauses, DPAs, and security commitments that had to be cross-checked line by line against actual policy. The security team wasn't the blocker — the process was. And the real cost was measured in the strategic risk work the team couldn't get to while fielding the same questions from every new prospect.

How Cyberbase automates security compliance with your own documentation

Cyberbase is an AI-native compliance automation platform built for security teams. Its Context Engine ingests your ISMS policies, SOC 2 reports, ISO 27001 and ISO 42001 certifications, pentest results, and existing questionnaire response libraries — and turns them into one queryable source of truth.

Feed it a DDQ, and it returns answers grounded in the exact policy version — in seconds. Feed it a vendor contract, and it flags every clause that conflicts with your commitments, with a comment explaining what's misaligned and why. If a question has no policy coverage, Cyberbase leaves it open rather than guessing. In compliance, a confident wrong answer is worse than no answer.

Over six months, Augment Code used Cyberbase to:

• Auto-answer 8,356 DDQ questions, each one traceable to a source document and ready for security review.
• Flag 2,966 redlines across 155 contracts — liability gaps, data-handling conflicts, and security terms that needed negotiation.
• Recover 743 hours of security team capacity — time redirected to higher-impact risk and posture work.

At a fully loaded cost of $250/hour, that's $185,750 in recovered capacity against a $14,394 platform cost for the same period — a 13:1 ROI before counting the deals that closed faster because security answers landed in minutes instead of days.

Why generic AI tools fail on security compliance tasks

Most security teams that try to automate this with general-purpose LLMs hit the same wall: the model doesn't know your policies. It returns industry-standard boilerplate that doesn't reflect your actual commitments — and in a compliance context, a plausible wrong answer is a liability, not a shortcut.

Cyberbase is grounded in your documentation and designed to acknowledge its limits. It cites its sources, surfaces policy gaps instead of hiding them, and consolidates policies, runbooks, and prior responses scattered across drives and Slack threads into one current source of truth — so answers are always grounded in what's true today, not what someone remembered from last quarter.

Which security teams get the most value from Cyberbase

Security and GRC teams at Series A–C SaaS companies selling into the enterprise, especially where:

• Security reviews are a recurring part of every deal
• The team is repeatedly pulled off strategic work to answer similar DDQs
• Contract redlines need to be consistent with policy every time, not every other time

It works on the procurement side too — when your team is evaluating vendors and needs to cross-reference their documentation against your requirements.