Autonomous Proactive Product Security

Revolutionizing Product Security
AI-powered reasoning that delivers continuous & autonomous threat modeling and red-teaming with actionable remediation

AppAxon Terminal

CURRENT STATE OF PROD SEC

THEORETICAL SCANS & ANALYSIS

Most security tools perform theoretical scans or attack path analyses, without demonstrating how that leads to actual exploitation.

POST-BREACH REACTIONS

Current solutions react only after breaches, missing proactive exploitation capability.

MANUAL PENTESTING -OR- RULES-BASED APPROACHES

Slow (4-6 weeks), expensive, not continuous, not integrated with dev workflow, and lacks remediation guidance.

THE APPAXON DIFFERENCE

PROACTIVE (NOT REACTIVE)

Going beyond post-breach detection and response with continuous threat modeling & red-teaming.

VERIFIABLE EXPLOITATION EVIDENCE

Reducing guesswork, alert fatigue, and false positives with real-world security testing and exploitation.

AUTONOMOUS & AGENTIC (REASONING-BASED)

Leverages the reasoning power of AI to deliver product security autonomously, at agentic speed and scale.

KEY PRODUCT FEATURES

Proactive

Identifies issues proactively, through exploitation, rather than wait for post-breach detection and response.

Context Graph

Creates a 'threat context graph' from generic as well as org-specific data sources, to make product security decisions.

Actionable

Delivers clear threat models and specific remediation recommendations for immediate implementation.

Continuous

Provides continuous security improvement across threat modeling, pull-request reviews, and control validation.

PRODUCT SECURITY FLYWHEEL

Our process for continuous improvement.

1. Identify Issues

Uncover vulnerabilities with autonomous red-teaming and threat modeling.

2. Provide Remediation

Clear, actionable recommendations for resolving security issues.

3. Promote Alignment

Foster Dev-Sec collaboration through shared evidence and priorities.

USE CASES

Continuous Product Threat Modeling

Based on contextual inputs, including documentation, Q&A, and transcripts, continuously refined via exploitation feedback.

LLM/AI Application Red-teaming

Uncovers risks in AI-native systems like prompt injection and data leakage, going beyond traditional tooling that cannot test these edge cases.

Compensating Controls Testing

Probes production controls (identity, WAF) for real-world effectiveness and verifies alignment with threat model remediation steps.

AppSec Tool Output Validation

Works standalone or integrates with AppSec tools to validate real exploitability, prioritizing issues and reducing noise.

MEET THE TEAM

Chiradeep Vittal

Chiradeep Vittal

CTO & Co-Founder

Pratik Roychowdhury

Pratik Roychowdhury

CEO & Co-Founder

Team of repeat entrepreneurs, security practitioners, and experts in product security (application / API, network, and Cloud), DevSecOps, and AI/ML.

Learn more about us

Get in Touch

Headquarters: Menlo Park, CA

Phone: (408) 412 - 0964

Email: prodsec [at] appaxon.ai