
Revolutionizing Product Security
Autonomous Proactive Product Security
AI-powered reasoning that delivers continuous & autonomous threat modeling and red-teaming with actionable remediation
AI-powered reasoning that delivers continuous & autonomous threat modeling and red-teaming with actionable remediation
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
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
Identifies product issues proactively, through exploitation, rather than waiting for post-breach detection and response.
Creates a 'product threat context graph' from generic as well as org-specific data sources, to make product security decisions.
Delivers clear product threat models and specific remediation recommendations for immediate implementation.
Provides continuous product security improvement across threat modeling, pull-request reviews, and control validation.
Uncover product weaknesses with autonomous red-teaming and threat modeling
Get clear and actionable recommendations for resolving product security issues
Foster Dev-Sec collaboration by eliminating friction through shared exploitation evidence and prioritization
Based on contextual inputs, (including documentation, Q&A, transcripts, and exploitation feedback) continuously refines threat model.
Uncovers new risks in AI-native apps (prompt injection, data leakage, etc.) going beyond traditional tooling that cannot test these edge cases.
Probes production controls (identity, WAF) for real-world effectiveness and verifies alignment with threat model & remediation steps.
Works standalone or integrates with AppSec tools to validate real exploitability, (re) prioritizing issues and reducing noise.
Team of repeat entrepreneurs, security practitioners, and experts in product security (application / API, network, and Cloud), DevSecOps, and AI/ML.
Headquarters: Menlo Park, CA
Phone: (408) 412 - 0964
Email: prodsec [at] appaxon.ai
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