Nullify
Claim this toolAI workforce for product security automation, replacing multiple tools and human effort.
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Paid plans only
Biggest pro
Replaces multiple security tools and human effort, streamlining operations.
Biggest con
Requires integration with existing codebases, cloud environments, and ticketing tools.
TL;DR - Nullify
- Automates product security with an AI workforce that mimics human security engineers.
- Finds and auto-triages all bug classes, including business logic flaws, with proof-of-exploit.
- Generates merge-ready fixes and manages the remediation workflow to meet SLAs.
Pricing: Paid only
Best for: Enterprises & pros
What is Nullify?
Nullify is an AI-powered platform designed to automate product security, acting as an AI workforce that mimics the reasoning and actions of a human security engineer. It identifies and resolves a wide range of vulnerabilities, including complex business logic flaws, by analyzing code, access patterns, and cloud configurations. The platform goes beyond simple detection by investigating and auto-triaging every bug, generating proof-of-exploit, and assessing impact based on an organization's unique context.
Nullify is built for security teams looking to enhance their efficiency and coverage. It automates the entire vulnerability lifecycle from discovery and investigation to response and learning. The system generates merge-ready fixes, assigns them to the correct developers, and escalates unmerged fixes to ensure compliance with SLAs. By continuously learning from feedback and adapting to the environment, Nullify aims to provide the outcomes of a fully staffed security team, reducing manual effort and accelerating the remediation of exploitable vulnerabilities.
Available on: Web
Pros & Cons
Pros
- Replaces multiple security tools and human effort, streamlining operations.
- Identifies hard-to-find vulnerabilities like business logic flaws with reproducible proof-of-exploit.
- Automates the entire fix lifecycle from discovery to merged PR, improving efficiency.
- Continuously learns and adapts to an organization's specific environment and risk posture.
- Reduces false positives through context-rich triage and impact assessment.
Cons
- Requires integration with existing codebases, cloud environments, and ticketing tools.
- Specific pricing details are not publicly available, requiring a demo or waitlist inquiry.
Preview
Key Features
AI-driven vulnerability discovery (including business logic flaws, unauthenticated endpoints, secrets, misconfigurations, code issues, dependency risks)Automated vulnerability investigation and proof-of-exploit generationContext-rich triage based on runtime reachability, network exposure, AWS context, and organizational risk modelAutomated generation of merge-ready fix PRsCampaigns for automated vulnerability resolution and SLA complianceVault for continuous ingestion and utilization of organizational security knowledge (VMF policies, bug bounty reports, cloud architecture, repo metadata)Adaptive learning from triage decisions, fix reviews, and escalation pathsDeveloper capacity tracking via GitHub and Jira signals
Pricing Plans
Pricing checked Jul 1, 2026
Full coverage
$6000 / month
Everything in all plans, plus:
- Code-to-cloud exploit and impact analysis triage (all finding types)
- Mass auto-resolution via Jira, GitHub, and Slack (Campaigns)
- Business logic flaw detection (auth, access, and more)
- 50k tokens included/year (Consumed on every generation of an exploit hypothesis, Vault updates, investigations, and more)
Enterprise
Custom pricing
Everything in all plans, plus:
- Orchestrate exploit discovery and interface with complex engineering orgs to remediate.
- Code-to-cloud exploit & impact triage (all types)
- Mass auto-resolution via Jira, GitHub & Slack (Campaigns)
- Business logic flaw detection (auth, access & more)
Included in all plans
- Find code, dependency, secrets, APIs, and container risks
- Validation of hardcoded secret credentials
- Vault for long-term memory of agents
Reviews
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Nullify FAQ
How does Nullify's AI workforce identify business logic flaws that traditional scanners miss?
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.
What role does 'Vault' play in Nullify's ability to adapt and make smarter decisions?
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.
How does Nullify ensure that generated fixes are actually merged and vulnerabilities are resolved within SLA?
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.
What types of organizational context does Nullify integrate to prioritize vulnerabilities?
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