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AI-Powered Risk Detection
Stay Secure by Design with pre-development risk detection
Apiiro uses a native private LLM model to analyze every feature request for risks, providing automated threat modeling stories and contextual migrations before any code is written.
WHY APIIRO
Secure software development begins with a secure design.
Avoid potential vulnerabilities and expensive fixes and material changes by proactively embedding risk detection and mitigation at the design phase.
Proactive secure-by-design
Integrate security into the earliest stages of the SDLC. Apiiro leverages a private LLM model to automatically analyze feature requests in ticketing systems and detect potential risks. As a result, security becomes a foundational element of the design process.
Shift left, even further
The “shift left” paradigm in DevSecOps aims to integrate security early, but Apiiro takes it a step further. By embedding security in the pre-development stage, Apiiro minimizes the likelihood and impact of risks, optimizes resource allocation, and reduces costs by cutting down the need for costly runtime fixes
AI-generated threat stories and mitigations
Apiiro automatically categorizes risks (data handling, permissions) and uses software architecture context to generate threat modeling stories and mitigation strategies. This contextual approach saves developer time and enhances risk prevention effectiveness.
HOW IT WORKS
Set the diamond standard in ASPM
Apiiro’s innovative platform shifts security considerations to the earliest stages of software development, empowering AppSec teams to prioritize, remediate, and prevent risks effectively before getting into runtime.
Seamless integration with ticketing systems
Connect your organization’s ticketing system with Apiiro to automatically pull relevant tickets and issues. Apiiro supports popular systems like Jira, GitHub Issues, Azure DevOps Boards, etc. to streamline the process of identifying risks at the design phase.
Advanced risk analysis
Apiiro uses advanced AI algorithms and a private LLM model to analyze the context and content of tickets. This analysis extends to the associated code components to ensure comprehensive risk detection.
Tailored remediation strategies
Apiiro generates detailed explanations and remediation suggestions for each detected risk, including contextual threat modeling stories and mitigation suggestions. These insights help AppSec experts understand the specific security implications and streamline the remediation process with security review questions.
Risk graph explorer
The Risk Graph Explorer allows customers to define and create customized risk policies and toxic combinations to ensure their organizations can focus on the most relevant risks to their business, minimizing irrelevant alerts and prioritizing impactful ones.
Contextual mapping of risks
Enhance the content of identified risks by mapping them to specific commits, branches, pull requests, and code components like APIs, GenAI frameworks, PII fields, etc. This mapping provides deeper insights into how potential security issues might manifest in the codebase.
Data privacy and security
Apiiro is committed to data privacy and operates on a secure, in-house infrastructure. All data is sanitized and anonymized so sensitive information remains protected. The Risk Detection at Design Phase feature is opt-in and fully configurable, allowing each organization to control their participation and data inclusion.
Introducing AI-Driven Risk Detection at Design Phase: Revolutionizing AppSec with AI-Powered Pre-Code Security
New from Apiiro: Detect and Address AppSec Risks with Apiiro Native LLM Models Before Code is Even Written
Imagine a world where security flaws are caught before writing a single line of code.
With Apiiro, that world isn’t just possible—it’s already here
