AppSec Is a Data Problem

In today’s AI-accelerated development world, application security often feels like chasing shadows: endless alerts, manual checklists before delivery, and dashboards so noisy they drown out real risk. At the root of the problem? A lack of structured, actionable data. Without it, every scanner, workflow, and platform falls short.

Three Critical AppSec Challenges in Large Enterprises

1. Missing Software Inventory: Scanning every repository and application generates mountains of findings—but no clarity. This isn’t a classic vulnerability prioritization problem; it’s fundamentally a data problem. You can’t prioritize risks if you don’t know what software you have, what it does (e.g., APIs, PII, GenAI), or how it changes daily.

2. Manual, Self-Attestation Processes: Risk questionnaires, threat models, and manual code reviews can’t keep pace with the speed of AI-driven development. These labor-intensive steps slow down teams that need to design, develop, and deliver faster to meet business demands.

3. Noise Overload: Security teams waste critical time sifting through findings, trying to identify vulnerabilities that truly pose business risk, while manually validating security controls across sprawling environments. This unsustainable cycle stalls real risk reduction and burdens developers.

Why Data—and Structure—Are the Answer

Automate Manual Workflows

Replace error-prone questionnaires, interviews, and manual code reviews with automated workflows built on accurate, structured data.

Continuous Compliance

Feed structured, real-time data into compliance processes, eliminating reliance on periodic self-attestations and audits.

Targeted Scanning and Testing

Trigger automated scanners and penetration testing only on your most critical repositories and applications—those tied to sensitive data, APIs, and material code changes—eliminating blanket scans and wasted effort.

Prioritize and Fix Based on Real Business Risk

Focus developer time on remediating vulnerabilities that genuinely impact the business, using your architecture, data flows, and compensating controls as context, not generic scoring.

Proactively Prevent Risk

Block risky pull requests and builds based on actual business context, before issues reach runtime, without slowing down delivery velocity.

Choose Data Over Features

Don’t evaluate AppSec platforms by counting features. Evaluate the quality of the data they produce and how well they structure and act on it. The right platform:

• Reveals Your Software Inventory & Architecture: Automatically and continuously identifies and prioritizes your crown-jewel repositories and applications.
  
• Guides Risk-Based Prioritization & Remediation: Ranks vulnerabilities by real business risk and provides automated, actionable and in-context fix guidance.
  
• Prevents Future Risk: Proactively stops threats before they reach runtime, based on your unique software architecture, environment and risk profile.

A unified AppSec platform that continuously structures, visualizes, and acts on your data—from design through delivery across first- and third-party code—turns security from a bottleneck into a business advantage.

AppSec isn’t about scanners and manual checklists—it’s about making sense of the data that your platform can generate.

That’s why we built Software Graph Visualization: a living, real-time map of your software inventory, architecture, and risk.

Structured data becomes actionable insight—finally making proactive AppSec a reality.