AI That Actually Accelerates Security

Automate triage, remediation, prioritization, reporting, and ticketing across AI-generated and human-written code. Hopper’s AI AppSec Suite scales security coverage without adding headcount or developer friction.

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Why Hopper is Better

Scale AppSec without growing your team

Automate triage, root cause analysis, and policy enforcement across both human- and AI-generated code.

Secure AI-generated code at the speed it ships

Identify vulnerabilities, insecure patterns, and license violations as AI-assisted code is written, without developer disruption.

Gain visibility into AI model usage and risk

Generate AI-BOMs, find risky or non-compliant models in your code, and give developers clear guidance to fix issues quickly.

Built for Enterprise AppSec

Coding Companion Support

Flag vulnerable, deprecated, hallucinated, or slopsquatted packages suggested by AI tools like Cursor, Copilot and ChatGPT.

Why It Matters:

Developers write secure code from the start without changing how they work.

Grace, Your AI AppSec Engineer

Answer complex security questions like CVE impact, SLA status, or exposure across services, instantly and with full context.

Why It Matters:

Security teams get accurate, evidence-backed answers in seconds without digging through dashboards or reports.

"Using Hopper, we were alerted to a critical issue in Java, before our runtime tool, and we were able to fix it in 20 repositories within a few hours, rather than the days or weeks it used to take to remediate."

Omri Vaizman, Security Software Engineer, Mesh Payments

AI-BOM and Model Risk Visibility

Build full AI Bill of Materials and trace embedded and external model usage, including insecure deserialization and policy violations.

Why It Matters:

Teams gain visibility into model risk, improve governance, and meet compliance requirements across AI-powered systems.

Real-World Risk Prioritization Signals

Delivers architecture-aware fix plans with root causes, breaking change risks, and remediation effort estimates.

Why It Matters:

Developers resolve the right issues faster, reduce MTTR, and meet remediation SLAs without guesswork or delays.

Hopper Use Cases

Noise-Free, Evidence-Based SCA

  • Identify function-level reachable vulnerabilities
  • Eliminate 93% of security noise
  • Evidence-based findings developers trust
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AI AppSec Suite

  • Detect vulnerable AI-generated code and model risks early with AI-BOMs, file-level mapping, and insecure behavior detection
  • Accelerate fixes with intelligent, AI remediation guidance
  • Extend your AppSec team with AI that automates triage, prioritization, and policy enforcement across your workflows
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Container Scanning

  • Scan images for vulnerable packages used by active services
  • Trace each vulnerability from source code to base image to the final container image, and the service it impacts
  • Continuous observability without agents or CI/CD modifications
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License Scanning

  • Automatic Asset Discovery: Detects new projects and applications in real-time.
  • Build Without CI/CD Deployment: Test security impacts before deployment.
  • Advanced Runtime Simulation: Reproduce real-world execution conditions for deeper insights.
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Remediation and Insights

  • Identify and remediate high-impact issues across multiple projects with a targeted fix
  • Track SLA adherence, MTTR, and fix velocity with performance insights
  • Deliver personalized, actionable remediation plans including quick fixes
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