AI-Assisted

AI-Assisted & Automated Mitigations

Make your developers more effective by automating security effort. Take the hard work out of risk mitigation and secure coding by empowering developers with AI-code suggestions and automated mitigations.

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The Challenge with AppSec Risk Mitigation

Eliminating Risk is Hard

Even if you effectively prioritize the most important risks, between new risks being added to code and existing risks in your backlog, eliminating risk within your development environment takes a tremendous amount of focus, coordination, and effort.

Developer Disruption

Application security teams are dependent on their engineering counterparts to mitigate the risks identified and prioritized by the prescribed AppSec tools and processes. Disruptions to development velocity from new tools, poor prioritization, lack of clear ownership, or high effort mitigations can result in strained developer-security relations.

Validating Application Security Fixes

Risks identified in the build pipelines are added to the security backlog. If a developer does get around to fixing that risk, Application Security teams need to validate the fix pushed by the developer to ensure that the risk is effectively mitigated.

Automate Away the Risk Mitigation Effort

Automation

AI-Generated Mitigation Suggestions

Automatically identify and mitigate SAST & IaC risks with AI-powered suggestions that leverage your unique code context to provide fast automated remediation paths. These capabilities are essential for closing security gaps within the codebase quickly. By reducing the need for manual intervention, you can accelerate your product development while ensuring that application vulnerabilities are neutralized at the source. This type of automated remediation is the key to maintaining high velocity in a modern development environment.

More About SAST
Deliver SAST & IaC mitigations to developers

AI-driven code recommendations are tailored to your organization’s specific context, minimizing SAST and IaC remediation effort. By embedding vulnerability detection directly into developer workflows, you empower your teams to act as their own security champions. This proactive approach strengthens your posture against exploits and ensures that security issues are resolved within the feature branch before they ever reach a production environment or trigger a critical security incident.

AI-generated fixes that are context aware

Use AI to analyze code intent and deliver accurate, context-aware fixes that effectively address identified vulnerabilities. Our mitigation workflows go beyond simple alerts by providing the actual code changes required to fix complex logic flaws. This level of auto-remediation ensures that even the most intricate application risks are handled with precision, reducing the likelihood of errors that often occur when manual fixes are rushed or poorly informed.

Reduce mean-time-to-resolution

Speed up vulnerability patching and reduce Mean-Time-to-Remediation (MTTR) with AI-powered enhancements. If you would like to see these capabilities in action, you can book a demo to see our automated workflows. Our platform shows you how to close security gaps in real-time, providing automatic updates to your security posture and ensuring that code integrity is maintained across every repository and microservice you manage.

Empower developers to fix on demand

Enable developers to generate on-demand AI code risk mitigation suggestions whenever needed. By removing the traditional security bottlenecks, you allow for faster risk mitigation and more efficient AppSec operations. This empowerment is a core feature of modern Application Security, where the goal is to integrate security so deeply into product development that it becomes a seamless part of the daily git workflows for all your engineering teams.

A static application security testing (SAST) finding and an AI generated fix within Arnica's product UI
A static application security testing (SAST) finding and an AI generated fix within Arnica's product UI
A static application security testing (SAST) finding and an AI generated fix within Arnica's product UI
A static application security testing (SAST) finding and an AI generated fix within Arnica's product UI
Secrets

Automatic Secret Mitigation

Automatically mitigate validated secrets in real-time as developers push code, eliminating threats from commits and history without requiring any effort from your developers. This is a critical component of data security, as it prevents attack vectors from being exposed in public or private repositories. By using vulnerability management automation, you can ensure that sensitive credentials never become a foothold for attacks or lead to a major security incident.

More About Secret Mitigation
Slack message with a fixed secret finding from Arnica
Slack message with a fixed secret finding from Arnica
Slack message with a fixed secret finding from Arnica
Slack message with a fixed secret finding from Arnica
Automated Secret Threat Detection and Validation

Instantly detect and validate secrets the moment they are pushed and daily thereafter, minimizing false positives and simplifying remediation in cybersecurity. Our threat detection engine uses threat intelligence to verify if a secret is active, reducing the number of unnecessary alerts. This allows your teams to focus on genuine complex threats while our auto remediation handles the routine cleanup, ensuring your defenses remain impenetrable.

Establish Your ‘No New Secrets’ Defenses

Automatically eliminate newly added validated secrets from their commit and all git history to prevent exposure. This automated remediation policy serves as a primary security measure for modern software development. By removing the possibility of human intervention errors, you create a "fail-safe" workflow that protects your supply chain and endpoint security, ensuring that no cyber threats can exploit forgotten credentials in your history.

Always Updated Risk Severity and Intelligence

Assess and update the risk severity of each secret with Arnica’s built-in validation engine. This provides real-time threat intelligence that helps you prioritize your remediation work. By understanding which security issues pose the greatest risk, you can focus your incident response resources where they matter most. This level of vulnerability management is essential for maintaining high-level data security in a landscape filled with advanced cyber threats.

Eliminate Threats Before They Are Exposed

Reduce Mean Time to Mitigation (MTTR) for secrets with real-time detection, alerts, and automated mitigation for validated secrets. This proactive threat mitigation ensures that you are always one step ahead of potential attacks. By using automatic updates to your security state, you close security gaps before they can be exploited, providing a robust layer of protection that requires zero manual intervention from your already busy development teams.

See Agentic Rules Enforcement in Action.

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Code Risks

Eliminate Developer Effort for SCA Mitigations

Automate the heavy lifting. By running every package upgrade path, Arnica empowers developers to make informed package upgrade decisions based on security impact and operational risk.

More about SCA
Deprioritize SCA Risks with No Known Remediation

When SCA findings do not have an upgrade path, avoid sending the finding to a developer. Effective security operations mean not wasting time on security issues that cannot be fixed. This prevents developer burnout and ensures that your remediation work is always focused on actionable threats. By filtering out the noise, you can focus on incident response for attacks that have a clear automated remediation path.

Help Developers Find the Best Threat Mitigation Path

Offer multiple options for SCA vulnerabilities, highlighting the impact of version updates. This provides the threat intelligence needed to make operational decisions without extensive manual intervention. By showing the safest workflows, you help your teams maintain data security while minimizing the risk of breaking changes, effectively closing security gaps in your defenses with minimal friction to the product development cycle.

Identify Important Internal Package Workflows

Automatically detect internal packages and assign remediation work to the relevant maintainers. This ensures that security issues in proprietary code are handled with the same rigor as open source vulnerabilities. By mapping these workflows, you ensure that your incident response is comprehensive and that no cyber threats can hide in internal libraries, providing a total defense strategy for your entire software ecosystem.

Consolidate Transitive Risks for Automated Remediation

Consolidate transitive SCA vulnerabilities under their associated direct dependencies for improved visibility. This simplifies vulnerability management by allowing teams to see the root cause of complex threats. By providing a clear view of your supply chain, you enable faster automated remediation and more effective threat mitigation, ensuring that your defenses are robust enough to withstand even the most sophisticated advanced cyber threats.

Software Composition Analysis finding in Arnica showing different fix paths
Software Composition Analysis finding in Arnica showing different fix paths
Software Composition Analysis finding in Arnica showing different fix paths
Software Composition Analysis finding in Arnica showing different fix paths

Customer testimonials

Hear what Arnica users have to say about how pipelineless security helped them build their own world-class application security program.

See case studies
When one of our developers pushes a valid hardcoded secret, we send a message in Slack to the developer immediately letting them know that Arnica fixed it for them.
Mark Stanislav
VP of Security Engineering & GRC
View Case Study
Developers appreciate that we’re able to, with Arnica, provide feedback early and provide it with the tools they’re already using.
Mali Gorantla
VP of Security
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We’ve upleveled across developer experience, secure coding practices, and of course our application security posture as a result of bringing Arnica into the fold.
Everett Odom
Director of Information Security
View Case Study

Give your developers security super powers.

Take the work out of secure development with AI-assisted and automated risk mitigations.

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FAQ

This capability represents a shift from simple detection to proactive resolution. Arnica leverages artificial intelligence and specialized automation to assist developers throughout the entire remediation lifecycle. By analyzing the specific nature of a security finding, the platform can suggest precise code fixes, automatically implement changes for high-confidence risks like secrets, or validate that a developer's manual fix actually solves the underlying problem. This approach transforms security from a bottleneck into a streamlined part of the development process. Ultimately, it reduces the manual burden on engineering teams, allowing them to focus on feature delivery while maintaining a robust and resilient security posture across the organization.

Arnica is designed to handle a diverse range of common application security risks with varying levels of automation. For hardcoded secrets, the platform can perform fully autonomous mitigation by removing exposed credentials from the git history in real-time. When dealing with Static Analysis (SAST) or Infrastructure as Code (IaC) misconfigurations, the system generates intelligent code suggestions that developers can apply with a single click. Additionally, for Software Composition Analysis (SCA), Arnica simplifies dependency management by identifying safe upgrade paths for vulnerable packages. This multi-layered approach ensures that the most frequent and critical security gaps are addressed efficiently across the entire software supply chain.

Rather than offering generic, one-size-fits-all fixes, Arnica uses advanced context-awareness to tailor every suggestion to your specific environment. The AI engine analyzes the surrounding code logic, the specific language syntax, and your organization's unique internal coding standards to ensure compatibility. By understanding the intent behind the code, the system produces remediation paths that feel natural to the developer and do not introduce breaking changes or technical debt. This deep level of integration means that the suggestions are highly accurate and relevant, significantly increasing the likelihood that developers will adopt the fix immediately without needing extensive manual adjustments or lengthy peer reviews.

Arnica prioritizes developer control and code integrity, meaning autonomous changes are highly restricted. The system only executes changes without direct human intervention in the specific case of validated secrets, and only when your internal security policies explicitly permit it. For almost all other findings, such as those related to SAST, IaC, or dependency upgrades, the platform acts as an intelligent advisor. It generates the necessary fix and presents it to the developer, who then has the final authority to approve, modify, or integrate the code. This "developer-in-the-loop" philosophy ensures that automation enhances productivity without sacrificing the oversight required for complex software architecture.

The process begins the moment a developer attempts to push code containing a potential secret. Arnica instantly detects and validates the credential to ensure it is a real risk. If a policy for automatic mitigation is active, the platform intervenes to remove the secret not just from the current commit, but from the entire git history to prevent future exposure. The developer is immediately notified through their preferred communication channel, such as Slack or email, with details about the action taken. This real-time response closes the window of opportunity for attackers and ensures that sensitive credentials never stay in the source control system.

Absolutely. The traditional manual remediation process often involves long delays as security findings sit in a backlog waiting for developer attention. By generating immediate fix suggestions and automating routine tasks like secret removal or dependency patching, Arnica drastically slashes the Mean Time to Resolution (MTTR). Developers no longer need to spend hours researching the root cause of a vulnerability or determining the correct syntax for a fix; the answer is provided to them instantly. This acceleration prevents security debt from accumulating and ensures that critical vulnerabilities are closed in minutes or hours rather than weeks, significantly strengthening your overall defensive posture.

Managing vulnerable third-party libraries is often a tedious task that disrupts development velocity. Arnica assists with Software Composition Analysis (SCA) by automatically evaluating various package upgrade paths. The platform identifies which version updates resolve known vulnerabilities while minimizing operational risk, such as breaking changes. It also helps prioritize work by deprioritizing findings that have no known fix or are not reachable in the code's execution path. By presenting developers with the most stable and secure upgrade options, Arnica takes the guesswork out of dependency management, ensuring that your software supply chain remains secure without requiring constant manual research by your engineering teams.

Yes, Arnica extends its intelligent mitigation capabilities to Infrastructure as Code templates, such as Terraform, CloudFormation, or Kubernetes manifests. Security misconfigurations in infrastructure are a leading cause of cloud breaches, so the platform proactively scans these files for risks like overly permissive permissions or unencrypted storage. When a flaw is found, Arnica proposes the exact configuration changes needed to align the template with security best practices. Developers can review these changes and apply them directly within their existing workflows. This ensures that the underlying cloud environment is born secure and stays compliant with your organization's infrastructure policies throughout the entire deployment lifecycle.

Arnica includes multiple layers of validation to ensure that every suggested fix is both safe and effective. Before a suggestion is even presented to a developer, it is cross-referenced against the existing code context and your organization's predefined security rules. The AI is trained to recognize patterns that might introduce logic errors or performance regressions. Furthermore, because the platform follows a developer-centric model, no code-level fix is merged without a human review. Developers can inspect the proposed changes within their standard IDE or version control environment, providing a final layer of expert oversight that ensures all automated suggestions meet the high standards of your production environment.

To prevent "alert fatigue," Arnica uses sophisticated filtering to ensure that only meaningful and actionable mitigations reach your developers. The system evaluates the reachability of a vulnerability—determining if the flawed code can actually be executed in a production scenario. It also considers the business context and the severity of the risk. By deprioritizing low-impact findings or those that do not have a viable resolution path, the platform reduces noise and ensures that developer effort is always focused on the most critical threats. This precision builds trust with engineering teams, as they know that every notification they receive from Arnica is worthy of their attention.