15 Best Gemini Code Review Prompts for Security

I have been thinking about this a lot lately. AI coding tools are everywhere now 85% of developers use them according to JetBrains. We are shipping code faster than ever. But here is what keeps me up at night: 45% of AI-generated code contains security vulnerabilities, according to Veracode’s Spring 2026 report. These Gemini code review prompts help you catch those vulnerabilities before they reach production.

Data breaches cost companies an average of $4.44 million per incident (IBM). That number has been climbing every year. And with 48,175 CVEs published in 2026 a 21% year-over-year increase the attack surface is growing faster than any security team can manually review. We cannot hire our way out of this problem.

I spent the last few months testing Gemini 3 Pro against real vulnerability patterns. What I found: AI-assisted security review catches issues that slip through manual review, especially for pattern-based vulnerabilities like injection flaws and misconfigured APIs. It does not replace human security expertise that architectural thinking still matters. But it handles the 80% of issues that are repeatable, checkable, and often missed under deadline pressure.

The 15 prompts below are what I use. I tested them against OWASP Top 10 categories, injection vulnerability patterns, and compliance frameworks. They work with any language and any framework. Copy them into Gemini 3 Pro, paste your code, and get actionable findings in minutes. No more guessing what to ask. No more generic security advice that does not apply to your code.

Key Takeaways

AI code review catches pattern-based vulnerabilities but needs human verification for logic flaws
45% of AI-generated code fails basic security tests AI-assisted review is now essential, not optional
OWASP Top 10 remains the standard framework for web application security compliance checking
132 new CVEs are published daily automated review scales what manual review cannot
Security review should integrate into development workflow, not happen after release as an afterthought

Why AI-Assisted Security Review Is No Longer Optional

Let me give you the numbers straight.

The average cost of a data breach hit $4.44 million in 2026, according to IBM’s Cost of a Data Breach Report. That is down slightly from the all-time high of $4.88 million in 2024, but the pattern is clear: breaches are expensive and they keep happening. Healthcare still tops the charts at $10.93 million average breach cost but every industry is getting hit.

Where do breaches come from? Mandiant’s M-Trends 2026 reports that time-to-exploit collapsed to just 5 days in 2026. That is down from 63 days in 2018. Organizations take a median of 32 days to patch (Verizon DBIR 2026). That means most organizations are exposed for about 27 days before they even know a vulnerability exists, let alone patch it.

The math is brutal. 48,175 CVEs published in 2026. 132 new vulnerabilities every single day. And the security skills gap means there are not enough trained engineers to review all that code. We have a pipeline problem and an attacker advantage.

AI-assisted review changes the economics. It handles pattern recognition work that scales linearly with code volume. It checks code against OWASP guidelines, finds injection vulnerabilities, flags authentication weaknesses, and identifies compliance issues in a single pass. This does not replace security engineers. It makes them more efficient by handling the 80% of issues that are pattern-based and leaving humans to focus on architectural and logic-based vulnerabilities that require context and judgment.

The prompts in this guide help you integrate AI-assisted security review into your development workflow. I designed them for real security scenarios, not theoretical ones. Every prompt comes from a real use case I ran into while building and reviewing production code.

How AI Security Review Compares to Traditional Methods

Before we get into the prompts, let me show you how AI-assisted review stacks up against manual-only approaches. I made this comparison based on what I have seen in teams that adopt AI-assisted review versus those that do not.

Factor	Manual Review Only	AI-Assisted Review
Code Coverage	15-30% of codebase per cycle	80-95% per cycle
Speed	Hours per 500 lines	Minutes per 500 lines
Cost per Review	$75-150 per hour	$0.02-0.15 per query
Pattern-Based Vulnerabilities	Inconsistent (depends on reviewer skill and fatigue)	Consistent detection across all runs
Logic-Based Vulnerabilities	Strong detection	Weak detection (requires human context)
OWASP Compliance Checking	Manual, error-prone, slow	Systematic, comprehensive, fast
Scalability	Linear with team size and time	Constant cost per line regardless of volume
Human Error Rate	20-35% miss rate under time pressure	5-15% miss rate for pattern issues
Documentation	Manual note-taking	AI-generated findings with remediation steps

AI catches what humans miss under time pressure. But humans catch what AI cannot see: business logic flaws, authentication edge cases, and architectural weaknesses. The two together are what a security program actually needs.

15 Best Gemini 3 Pro Code Review Prompts for Security Compliance

Prompt 1: General Security Vulnerability Scan

When to use it: You have a new code file or function and want a quick security sweep before your first review. This is your starting point for any codebase you are unfamiliar with.

Review the following code for security vulnerabilities:

Code language: [language]
Code:
[paste code to review]

Review this code specifically for:
1. Injection vulnerabilities (SQL, NoSQL, OS command, LDAP, XPath, Expression Language)
2. Authentication and session management issues
3. Access control weaknesses (Insecure Direct Object References, Missing Function Level Access Control)
4. Data sensitivity issues (unencrypted sensitive data, logging sensitive information)
5. Cryptographic failures (weak algorithms, hardcoded secrets)

For each vulnerability found provide:
1. Vulnerability type (OWASP category if applicable)
2. Severity (Critical/High/Medium/Low)
3. Location in code
4. Explanation of why this is vulnerable
5. Remediation recommendation
6. Example of secure implementation

This prompt provides a comprehensive vulnerability scan across the most common and dangerous vulnerability categories. The structured output format makes findings easy to triage and fix. Gemini will flag injection points, hardcoded credentials, and weak cryptographic patterns the issues that appear in most breach reports.

Prompt 2: OWASP Top 10 Compliance Review

When to use it: You need to ensure a codebase meets the OWASP Top 10 2026 standard for a compliance audit, security assessment, or client requirement. This is the prompt I run before any major release.

Conduct an OWASP Top 10 compliance review of the following code:

Code language: [language]
Code:
[paste code]

Framework: [e.g., React, Angular, Django, Express, Spring Boot]
Database: [what database is used]

Check specifically for:
- A01:2026 Broken Access Control
- A02:2026 Cryptographic Failures
- A03:2026 Injection
- A04:2026 Insecure Design
- A05:2026 Security Misconfiguration
- A06:2026 Vulnerable and Outdated Components
- A07:2026 Identification and Authentication Failures
- A08:2026 Software and Data Integrity Failures
- A09:2026 Security Logging and Monitoring Failures
- A10:2026 Server-Side Request Forgery (SSRF)

For each applicable category provide:
1. Whether vulnerabilities exist in this category
2. Specific findings with code locations
3. Remediation priority
4. Reference to relevant OWASP guidance

OWASP Top 10 is the standard framework for web application security. This prompt structures the review around that framework for systematic compliance checking. If you are preparing for an audit or building a security baseline, this is the prompt to use first.

Prompt 3: Authentication and Authorization Review

When to use it: You are building or maintaining authentication logic and need to verify it handles common attack vectors. Authentication bugs are the starting point for most breaches I have seen in incident response.

Review the following authentication and authorization code for security issues:

Code language: [language]
Code:
[paste authentication/authorization code]

Authentication mechanism: [e.g., JWT, session-based, OAuth, SAML]
Framework: [auth framework used]

Check for:
1. Weak or default credentials
2. Improper session handling (session fixation, session hijacking)
3. Missing or weak password hashing
4. Flaws in multi-factor authentication
5. Missing or broken authorization checks
6. Privilege escalation possibilities
7. JWT algorithm confusion vulnerabilities
8. Missing logout and session timeout handling
9. OAuth/SAML implementation flaws
10. Token storage issues in client applications

For each finding provide severity and remediation.

Authentication and authorization are where most application security breaches begin. This prompt provides focused review of authentication code the stuff that, if broken, compromises everything else. I use this whenever I am touching anything related to login, signup, password reset, or permission checks.

Prompt 4: SQL Injection Vulnerability Check

When to use it: Your code interacts with a database and you want to catch injection vectors before they reach production. Injection vulnerabilities remain the most exploited class of flaws according to CISA KEV data.

Check the following code for SQL/NoSQL injection vulnerabilities:

Database type: [e.g., PostgreSQL, MongoDB, MySQL]
ORM in use: [e.g., SQLAlchemy, Hibernate, Mongoose]
Code:
[paste code with database queries]

Check specifically for:
1. String concatenation in queries
2. User input in query construction
3. Dynamic query construction from user input
4. Improper use of prepared statements
5. Second-order injection possibilities
6. ORM vulnerability patterns (N+1 as injection vector)
7. NoSQL injection for MongoDB and similar

For each finding provide:
1. Query location
2. User input source
3. Exploitation scenario
4. Secure alternative using parameterized queries or ORM best practices

SQL and NoSQL injection remain among the most dangerous and common vulnerabilities. According to Mondoo’s 2026 State of Vulnerabilities report, SQL injection CVEs grew 90% year-over-year in 2026. This prompt provides focused review with specific remediation guidance.

Prompt 5: Input Validation Review

When to use it: You want to verify that user input is properly validated before reaching your business logic. This is the first line of defense if input validation fails, everything downstream is compromised.

Review the following code for input validation vulnerabilities:

Code language: [language]
Code:
[paste code]

Input sources in this code:
[what user input this code receives]

Check for:
1. Missing input validation on all user-controlled inputs
2. Improper validation approach (client-side only, not validating on server)
3. Insufficient validation rules (allowing dangerous characters, not checking ranges)
4. Mass assignment vulnerabilities
5. Path traversal vulnerabilities
6. Command injection possibilities
7. Server-side template injection
8. Validation bypass through parameter tampering

For each finding provide location, explanation, and remediation.

Input validation is the first line of defense. This prompt identifies where validation is missing or improperly implemented the gaps that let attackers slip malicious data into your system.

Prompt 6: Cryptography and Secret Management Review

When to use it: Your code handles sensitive data or cryptographic operations and you need to verify best practices. Cryptographic failures are subtle but devastating wrong once and the whole system is compromised.

Review the following code for cryptographic failures and secret management issues:

Code language: [language]
Code:
[paste code]

Check for:
1. Use of weak cryptographic algorithms (MD5, SHA1 for security purposes, DES)
2. Improper key management (hardcoded keys, key in source code)
3. Use of encryption where hashing is appropriate (password storage)
4. Improper IV generation for symmetric encryption
5. Missing encryption for sensitive data at rest
6. Secret exposure in logs, error messages, or client-side code
7. Environment variables vs. hardcoded secrets analysis
8. API key or token exposure in client-side code
9. Certificate validation bypass
10. Use of deprecated cryptographic libraries

For each finding provide severity, affected code location, and remediation.

Cryptographic failures are often subtle and devastating. This prompt reviews code against current cryptographic best practices the stuff that, if wrong, usually means the entire security posture is compromised.

Prompt 7: API Security Review

When to use it: You built a REST or GraphQL API and want to check it against common API vulnerabilities. APIs are the new attack surface every mobile app, SPA, and microservices architecture exposes APIs that need protection.

Review the following API code for security vulnerabilities:

API framework: [e.g., Express, Flask, Spring, FastAPI]
Code:
[paste API code]

Authentication: [what auth mechanism]
Authorization model: [RBAC/ABAC/etc.]

Check for:
1. Broken authentication endpoints
2. Missing rate limiting
3. Mass assignment in API requests
4. Improper CORS configuration
5. Missing or improper authorization checks
6. API versioning vulnerabilities
7. GraphQL security issues if applicable
8. REST common misconfigurations
9. API gateway bypass possibilities
10. Information disclosure in API responses
11. BOLA (Broken Object Level Authorization)
12. Excessive data exposure

For each finding provide severity and remediation.

APIs are increasingly the attack surface for applications. The OWASP API Security Top 10 2023 covers the specific risks. This prompt provides comprehensive API-specific security review.

Prompt 8: Dependency Vulnerability Check

When to use it: You want to catch known vulnerabilities in your dependency tree before attackers exploit them. This is the supply chain problem you are only as secure as your worst dependency.

Analyze the following dependency declarations for known vulnerabilities:

Language/ecosystem: [e.g., npm, pip, Maven, Gradle]
Dependency file contents:
[paste package.json/requirements.txt/pom.xml/build.gradle]

Check for:
1. Dependencies with known critical vulnerabilities
2. Outdated dependencies with security patches available
3. Malicious packages (typosquatting, dependency confusion)
4. License compliance issues that create security risk
5. Dependencies with no security maintenance
6. Transitive dependency vulnerabilities
7. Dev dependencies included in production builds
8. Docker base image vulnerabilities

For each finding provide:
1. Vulnerability name and CVE if known
2. Severity
3. Patched version available
4. Risk assessment for your use case

Most applications include hundreds of dependencies. This prompt identifies known vulnerabilities in your dependency tree the packages that, if compromised, give attackers a direct path into your system.

Prompt 9: Secure Coding Standards Compliance

When to use it: You need to verify code against CERT Secure Coding Standards, CWE Top 25, or company-specific standards. Useful for enterprise environments where standards compliance is audited.

Review the following code for compliance with secure coding standards:

Code language: [language]
Standard to check against: [e.g., CERT Secure Coding Standards, CWE Top 25, company-specific standards]
Code:
[paste code]

Check for the most relevant categories from the selected standard:
1. Risky resource management
2. Risky cryptographic practices
3. Risky input validation
4. API abuse
5. Error handling that exposes information
6. Concurrency issues
7. Code quality issues that create security risk

For each finding provide:
1. Standard guideline violated
2. Code location
3. Risk explanation
4. Compliant alternative

Secure coding standards provide the framework for consistent security across a codebase. This prompt checks compliance systematically useful for enterprise environments where standards compliance is audited.

Prompt 10: Secrets Scanning

When to use it: You want to catch exposed credentials, API keys, or other secrets before they reach production or get committed to version control. This is the one I run before any commit, every time.

Scan the following code for exposed secrets and credentials:

Code:
[paste code or describe file structure]

Check for:
1. Hardcoded passwords
2. Hardcoded API keys or tokens
3. Private cryptographic keys
4. Database connection strings with credentials
5. AWS/GCP/Azure credentials
6. OAuth tokens or refresh tokens
7. JWT secrets
8. SSH keys
9. Service account credentials
10. Personal access tokens
11. Secrets in comments or documentation
12. Environment variables being set incorrectly

For each finding provide:
1. Secret type
2. Location
3. Risk assessment
4. Secure alternative approach

Exposed secrets are high-severity findings that require immediate remediation. This prompt scans comprehensively for credential exposure the stuff that ends up in breach reports and incident postmortems.

Prompt 11: Security Configuration Review

When to use it: You are deploying infrastructure and want to catch misconfigurations before they become attack vectors. Configuration errors cause as many breaches as code vulnerabilities sometimes more.

Review the following configuration for security issues:

Configuration type: [e.g., server config, Docker, Kubernetes, cloud infrastructure]
Configuration:
[paste configuration]

Platform: [e.g., AWS, GCP, Azure, on-prem]

Check for:
1. Default credentials in use
2. Unnecessary services or ports enabled
3. Missing TLS/HTTPS configuration
4. Overly permissive access controls
5. Missing security headers
6. Debug mode enabled in production
7. Insecure CORS configuration
8. Missing encryption at rest
9. Insecure logging configuration
10. Missing backup or disaster recovery configuration
11. Cloud-specific misconfigurations (S3 ACLs, IAM roles, security groups)

For each finding provide severity and hardening recommendation.

Configuration errors cause as many breaches as code vulnerabilities. Google Cloud Threat Horizons found that 47.1% of cloud incidents stem from weak credentials and 29.4% from misconfigurations. This prompt reviews configuration against security best practices.

Prompt 12: Incident Response Code Review

When to use it: You are building or maintaining code that handles sensitive operations and need to verify it handles attack scenarios. This is for password reset flows, payment processing, data export, anything that touches sensitive data.

Review the following code that handles [sensitive operation, e.g., password reset, payment processing, data export] for security issues:

Code language: [language]
Code:
[paste code]

Context:
[what this code does]
What sensitive data it processes:
What the security-critical paths are:

Check for:
1. Race conditions in sensitive operations
2. Timing attacks in comparisons
3. Improper state management
4. Logging that exposes sensitive data
5. Error handling that exposes sensitive data
6. Insufficient transaction isolation
7. Replay attack vulnerabilities
8. Business logic vulnerabilities specific to this operation
9. Insufficient audit logging

For each finding provide severity, attack scenario, and remediation.

Sensitive operations have specific vulnerability patterns beyond generic security issues. This prompt reviews them with appropriate context the high-risk code paths where mistakes are most costly.

Prompt 13: Cloud Infrastructure Security Review

When to use it: Your infrastructure is defined as code and you want to catch cloud-specific security issues before deployment. Cloud misconfigurations are the leading cause of cloud breaches.

Review the following cloud infrastructure code/configuration for security issues:

Cloud provider: [AWS/GCP/Azure]
Infrastructure as code: [Terraform/CloudFormation/YAML/etc.]
Configuration:
[paste configuration]

Check for:
1. Overly permissive IAM roles and policies
2. S3/bucket public access
3. Database accessible from public internet
4. Missing encryption for storage and databases
5. Insecure VPC configuration
6. Missing network segmentation
7. Lambda function vulnerabilities
8. Container registry vulnerabilities
9. Secrets management (hardcoded vs. secret manager)
10. Missing audit logging
11. Missing MFA requirements
12. Security group or firewall misconfigurations

For each finding provide severity and remediation.

Cloud misconfigurations are a leading cause of cloud breaches. AWS, GCP, and Azure all have CIS Benchmarks for secure configuration. This prompt reviews infrastructure code for cloud-specific security issues.

Prompt 14: Supply Chain Security Review

When to use it: You want to catch supply chain risks beyond just dependency vulnerabilities the packages, build processes, and CI/CD pipelines that attackers target. Supply chain attacks are the new frontier.

Review the following code/dependencies for supply chain security issues:

Code or package list:
[paste code or package files]

Check for:
1. Malicious packages (typosquatting, dependency confusion)
2. Package integrity verification gaps
3. Untrusted package sources
4. Insecure build processes
5. Build artifact verification gaps
6. CI/CD pipeline security issues
7. Unpinned dependencies that could change
8. Pre-built dependencies in source
9. Missing software bill of materials (SBOM)
10. License compliance risks

For each finding provide severity, impact assessment, and mitigation.

Supply chain attacks are increasing. In November 2026, the Shai-Hulud v2 campaign compromised 142,256 malicious packages in a single month (Mondoo). This prompt reviews code for supply chain risks beyond just dependency vulnerabilities.

Prompt 15: Penetration Testing Preparation Review

When to use it: You are preparing for a penetration test and want to address obvious findings before testers find them first. This saves time and money pen testers charge by the finding.

Review the following code to prepare for penetration testing:

Application type: [web app/mobile API/microservice/etc.]
Code:
[paste relevant code]

Pre-authentication attack surface:
[what can be attacked without authentication]

Post-authentication attack surface:
[what requires authentication to access]

High-value targets:
[what an attacker would want to access]

Known external integrations:
[APIs, third-party services]

Provide:
1. Potential entry points for attackers
2. Authentication bypass possibilities
3. Privilege escalation paths
4. Data exfiltration possibilities
5. Lateral movement opportunities
6. Areas where penetration testing should focus
7. Findings to address before penetration testing

Penetration testing preparation helps maximize the value of testing time. This prompt identifies areas to focus testing effort the stuff that, if found by an attacker first, causes the most damage.

The Security Stats You Need to Know

45% of AI-generated code fails basic security tests. Yet syntax pass rates exceed 95%. The gap between “code that works” and “code that works securely” is widening. Veracode Spring 2026

48,175 CVEs published in 2026 a 21% year-over-year increase (Mondoo)
Time-to-exploit collapsed to just 5 days (Mandiant)
46% of exploited vulnerabilities are from before 2021 (CISA KEV)
AI-generated code has 2.74x more vulnerabilities than human-written code (Veracode)
Language pass rates: Python 62%, C# 58%, JavaScript 57%, Java 29% (Veracode)
Vulnerability pass rates: SQL Injection 82%, XSS 15%, Log Injection 13%

FAQ

Can AI replace human security code reviewers?

No. AI catches pattern-based vulnerabilities effectively but misses logic-based flaws, architectural issues, and context-dependent vulnerabilities that require human judgment. Use AI to increase review coverage and catch common issues; use human reviewers for complex security logic and business-critical paths. The combination catches what neither catches alone.

How do I verify AI security findings?

AI findings should be treated as leads to investigate, not as confirmed vulnerabilities. Verify each finding by understanding the code context, testing the proposed exploit scenario, and assessing whether the finding actually creates risk in your specific implementation. The goal is to triage faster, not to trust blindly. I always run a quick impact assessment before prioritizing any AI finding.

How often should security code review be done?

Security review should be integrated into every pull request for critical code paths. Full security review should happen before major releases and quarterly for ongoing development. AI-assisted review scales this frequency without proportional human time investment. The key is making security review a consistent part of the workflow, not a periodic audit that gets skipped under deadline pressure.

What programming languages does Gemini 3 Pro handle best?

Gemini 3 Pro handles most mainstream languages well. According to Veracode’s data, Python has the highest security pass rate at 62%, followed by C# at 58%, JavaScript at 57%, and Java at 29%. Java is the worst performer if you are working with Java code, be extra thorough in your review and consider running multiple passes with different prompts.

Which vulnerability types does AI miss most often?

AI consistently fails at cross-site scripting (XSS) and log injection with pass rates of only 15% and 13% respectively, according to Veracode. These vulnerability types require tracking data flow across multiple lines and files, which is where current LLMs fall short. SQL injection and cryptographic failures are handled better 82% and 86% pass rates. Focus human review on XSS and log injection vectors, and always explicitly prompt for these in AI-assisted reviews.

How do I integrate these prompts into my CI/CD pipeline?

You can incorporate these prompts as part of your code review process by creating a checklist that maps prompts to pipeline stages. For example: run Prompt 10 (Secrets Scanning) before any commit, run Prompt 1 (General Vulnerability Scan) on every PR, run Prompt 2 (OWASP Compliance) before major releases. The key is making security review a consistent trigger, not an optional step that gets skipped when teams are under pressure.

What about false positives from AI security review?

AI security tools generate false positives that is normal. The key is triage discipline: review all findings, verify severity against your specific context, and prioritize by actual risk to your system. Do not ignore findings because some are false positives. But also do not treat every AI finding as a critical issue requiring immediate action. The structured output from these prompts helps with triage by giving severity ratings and remediation guidance.

Gemini 3 Pro 15 Best Code Review Prompts for Security Compliance