
AI workforce for product security automation, replacing multiple tools and human effort.
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$6000/month
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Nullify's AI reasons through access patterns, code, and business logic, generating exploit hypotheses that are then tested through real attacks. This allows it to uncover complex vulnerabilities like cross-tenant abuse and authorization bypasses, providing full proof-of-exploit including the path taken, inputs used, and code trigger points.
Vault serves as Nullify's long-term memory, continuously ingesting an organization's unstructured security knowledge, such as VMF policies, bug bounty reports, cloud architecture, and repository metadata. This context allows Nullify to make more intelligent decisions, suppress non-issues, escalate critical vulnerabilities, and tailor its logic to the unique risk posture of the environment.
Nullify uses 'Campaigns' to bundle validated vulnerabilities and assign merge-ready PRs to the correct developers based on ownership and team mappings. It tracks team capacity via GitHub and Jira signals, holding PRs if teams are overloaded, and escalates unmerged fixes in Slack as deadlines approach to ensure timely resolution and SLA compliance.
Nullify integrates context from various sources including codebases, cloud environments (e.g., AWS context, runtime reachability, network exposure), ticketing tools, documentation, and bug bounty programs. It also uses an organization's unique risk model stored in Vault, which includes sensitive repositories and VMF-defined priorities, to assess impact and prioritize findings effectively.
Source: nullify.ai