Aptori Agentic AI Teammates for Security
Autonomous, AI-driven AppSec that transforms security— AI Agents to detect, triage, and fix vulnerabilities while ensuring security and development teams stay aligned.
Because compliance isn’t enough—protection is.
Aptori is your AI Security Engineer—built to secure modern applications at enterprise scale.
Aptori delivers the industry’s leading agentic AI for application security—purpose-built to meet the demands of modern security and compliance. Acting as a virtual security engineer, the Aptori AI Security Engineer autonomously identifies, prioritizes, and remediates vulnerabilities across code, APIs, applications, and cloud infrastructure—faster and more accurately than human teams. Embedded into developer workflows, it provides real-time risk visibility, enforces continuous compliance, and scales security operations without increasing headcount—empowering security leaders to drive secure innovation at enterprise speed.
Autonomous Security: AI-Powered from Discovery to Remediation
Aptori AI Security Engineer delivers advanced Application Security and API Testing by using semantic analysis to detect vulnerabilities across your code, applications, APIs and cloud environments—identifying risks with deep contextual understanding.
Unlike traditional static rule-based testing, Aptori goes beyond surface-level threats, uncovering complex business logic flaws that other tools miss.
Aptori's Agentic AI, intelligently triages issues and delivers precise fixes, enabling rapid remediation.
Build secure, reliable software with an intelligent agent that understands and remediates vulnerabilities in real time. Aptori is your trusted teammate in building secure, reliable software.
CODE
APIs
APPs
CLOUD
AI-Powered Detection
Uncover logic flaws, misconfigurations, and cloud risks
- Detect business logic flaws beyond traditional static scanning methods
- AI-driven security analysis identifies hidden runtime vulnerabilities
- Uncover cloud misconfigurations that expose sensitive data
- Continuous security testing ensures early threat detection
Auto Triage
Contextual risk scoring cuts through the noise
- AI-powered risk prioritization based on exploitability and impact
- Reduce alert fatigue with intelligent filtering
- Focus on vulnerabilities that truly matter
- Align security with development priorities for faster remediation
AI Auto Fix
Precise Code Fixes
- Secure-by-design fixes integrated directly into workflows
- Reduce manual debugging with precise, contextual suggestions
- Automate security patches to accelerate secure releases
- Provides clear, AI-driven remediation guidance.
Secure
Seamless SDLC integration
- Embedded security throughout development and deployment
- Works with CI/CD pipelines for continuous protection
- Aligns security, engineering, and compliance teams
- Ensures proactive risk management at every stage
Comply
Continuous Compliance
- Automate security controls to meet regulatory requirements
- Continuous scanning ensures adherence to standards like PCI DSS, NIST, NIS2, and SOC 2
- Real-time compliance reporting for audits and governance
- Reduce compliance burden with built-in security best practices
Aptori: Your AI Security Engineer
AI-Powered Detection
Aptori SMART uses AI and semantic modeling to detect logic flaws and risks missed by traditional scanners.
Auto Triage
AI-driven risk prioritization based on business impact—so your team focuses on what truly matters.
Auto Fix
Delivers code-level fixes directly in Git with clear, explainable reasoning for each finding. Engage with results, ask questions, and make informed decisions in real time.
SDLC Integration
Analyzes every code commit and change to catch vulnerabilities early—embedding security from the start. Accelerate remediation with automated fixes that seamlessly integrate into developer workflows.
Semantic Modeling for Application & API Security Testing
SMART uses advanced AI and semantic modeling to deeply understand your code, APIs, and application logic.
By mapping data flows, control paths, and auth logic across your stack, SMART builds a real-time, stateful model of your software — not just the code, but how it behaves.
Unlike traditional static analysis, SMART applies semantic reasoning to detect business logic flaws, misconfigurations, and runtime risks that scanners miss.
It sees what’s exploitable, not just what’s syntactically wrong — delivering deeper coverage and more actionable security insights across your CI/CD and runtime environments.
Effective
SMART uses deterministic, stateful analysis to model business logic and trace critical data flows — revealing vulnerabilities that static and dynamic tools miss.
Efficient
SMART optimizes path selection using data flow and operation context — reducing noise and false positives so security teams can act faster and with confidence.
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