Crypto-Agility. Turbocharged.

Our approach

A New Breed of Crypto Resilience

Purpose-Built for Cryptography. Focuses exclusively on identifying and understanding cryptographic algorithms, keys, and configurations rather than treating them as generic security patterns.

AI-Driven Contextual Intelligence. Goes beyond vulnerability scanning for algorithmic weakness by using advanced AI (embedded ML, LLMs) to contextualize risks, infer ownership, and prioritize by business impact.

Deep Semantic Analysis. Interprets cryptographic intent, usage context, and key relationships to uncover vulnerabilities that general-purpose scanners miss.

Precise Remediation, Not Generic Advice. Generates specific, context-aware remediation suggestions including actual code patches and infrastructure configs.

Quantum-Aware Classification. Distinguishes between classically insecure and quantum-vulnerable implementations for precise risk prioritization. In addition to recognizing the standard asymmetric encryption and digital signatures upgrades.

Discovery

Full diagnostic on vulnerability types, including source code cryptography, key sizes and configurations.

Classification

Identify current vulnerable and quantum-insecure implementations.

Prioritization

Rank findings based on security impact, business context and data type.

Remediation

Automated code suggestions and actionable guidance to fix vulnerabilities.

Governance

Advanced metrics and customized dashboards for developers and executive leadership.

Key Features

Cryptographic Protection.
One Click Away.

Threat Point was built with security, simplicity and visibility in mind.

Source Code Scanning

Repository scanning that provides complete visibility into all cryptographic assets, algorithms, and configurations.

AI-Assisted Discovery & Classification

Discovery with AI-assisted classification to assess severity, exploitability, and quantum risk.

Automated Code Fixes

Identifies legacy or vulnerable source code and generates pull request recommendations that swap outdated primitives for verified, quantum-safe alternatives.

Cryptographic Risk Score

Quantifies enterprise vulnerability by mapping the presence of weak and legacy algorithms against real-world threat vectors like quantum computing and "Harvest Now, Decrypt Later" liability.