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.

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

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-generated fixes that are context aware

Reduce mean-time-to-resolution

Empower developers to fix on demand

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

Automated Secret Threat Detection and Validation

Establish Your ‘No New Secrets’ Defenses

Always Updated Risk Severity and Intelligence

Eliminate Threats Before They Are Exposed

Customer testimonials

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

Arnica has been a piece of allowing us to accelerate like that. As I've taken my team and split it up into smaller groups - some two-person teams tackling fairly big functionality - Arnica being part of it has been really successful for us.

Brad Young, VP of Technology

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

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

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

FAQ

1. What is AI-assisted and automated mitigation?
   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.

2. Which types of security risks can be mitigated automatically?
   Arnica is designed to handle a diverse range of common application security risks with varying levels of automation.

3. How are AI-generated mitigation suggestions tailored?
   Rather than offering generic, one-size-fits-all fixes, Arnica uses advanced context-awareness to tailor every suggestion to your specific environment.

4. Will the system ever make changes without human approval?
   Arnica prioritizes developer control and code integrity, meaning autonomous changes are highly restricted.

5. How does automatic secret mitigation work?
   The process begins the moment a developer attempts to push code containing a potential secret. Arnica instantly detects and validates the credential.

6. Can automatic mitigation reduce the time it takes to remediate vulnerabilities?
   Absolutely. The traditional manual remediation process often involves long delays.

7. How does this feature help with SCA (dependency) risks?
   Arnica assists with Software Composition Analysis (SCA) by automatically evaluating various package upgrade paths.

8. Does AI-assisted mitigation work with Infrastructure as Code (IaC)?
   Yes, Arnica extends its intelligent mitigation capabilities to Infrastructure as Code templates.

9. What safeguards exist to prevent incorrect fixes?
   Arnica includes multiple layers of validation to ensure that every suggested fix is both safe and effective.

10. How does Arnica avoid generating noisy or irrelevant mitigations?
    To prevent "alert fatigue," Arnica uses sophisticated filtering to ensure that only meaningful and actionable mitigations reach your developers.