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Nullify is the first complete AI AppSec engineer-in-a-box for small security teams

Agents Security AI Detection

Overview


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Nullify is the first complete AI AppSec engineer-in-a-box for small security teams. Smart, simple, and streamlined, backed by leading investors.

Key Features:
  • Save hours finding, prioritising, and fixing security vulnerabilities across your entire stack.
  • Auto-prioritise, investigate, assign, and track vulnerabilities from one place.
  • Prioritise by risk, investigate and contextualise findings, manage SLAs, fix, allowlist, ticket, and track.

    Use Cases:
  • Security teams can efficiently manage and prioritize vulnerabilities.
  • Security leaders can gain visibility into risk trends and improve key metrics.
  • Developers can build securely without leaving their codebase.

    Benefits:
  • Save time and resources by automating vulnerability management processes.
  • Gain insights into risk posture and improve AppSec program metrics.
  • Efficiently fix vulnerabilities and manage exceptions seamlessly.

    • Capabilities

    • Automates security vulnerability detection across the entire stack.
    • Prioritizes security vulnerabilities based on risk and exploitability.
    • Remediates security vulnerabilities across development lifecycles.
    • Integrates with GitHub, Bitbucket, Azure DevOps, Jira, and Slack.
    • Manages SLAs for vulnerability remediation and tracks out-of-deadline findings.
    • Creates Jira issues with two-way integration and tracks vulnerabilities over their lifecycle with event-based audit logs.
    • Provides 100% secure code review coverage with one click across the entire codebase.
    • Eliminates the manual integration and maintenance work required for adding security tools into CI/CD pipelines.
    • Detects security weaknesses and possible exploit vectors in application code using SAST and IAST.
    • Identifies known vulnerabilities present in third-party libraries and dependencies using SCA.
    • Detects common credential types such as secrets and API keys, and performs OCR and NLP-based analysis to search for PII in files.
    • Performs payload-based dynamic testing on live API endpoints using DAST.
    • Creates pull requests with recommended fixes for detected vulnerabilities.
    • Provides organization-wide metrics to measure adoption and coverage.
    • Analyzes code in context, taking into account the specific programming languages, frameworks, and libraries used in projects.
    • Manages exceptions and false positives.
    • Provides AI Risk Insights Copilot to discover insights into risk posture.

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