detection method Archives

Tech Optimizer

March 19, 2026

Federal Circuit Finds that Antivirus Software is Abstract and Remands for Alice, Step Two

Columbia University faced a setback in its patent dispute with Gen Digital Inc. regarding U.S. Patents 8,074,115 and 8,601,322, which relate to an innovative virus detection method developed in the early 2000s. The method involved evaluating the behavior of suspicious code using an emulator and a model of expected behavior derived from data across interconnected computers. Columbia initiated legal proceedings in 2013, and after various developments, a jury awarded Columbia over million in royalties for willful infringement in 2022. However, the Federal Circuit ruled that the patent claims were not sufficiently specific and remanded the case for further examination of whether the claims could constitute an inventive concept. The ruling emphasized that patent eligibility is determined by the precise language of the claims.

AppWizard

October 25, 2025

OWASP Mobile Top 10 for Android – How AutoSecT Detects Each Risk?

Mobile applications account for 70% of global interactions, with over 6.8 billion smartphone users. In 2023, 40% of data breaches are linked to vulnerabilities in mobile applications. The OWASP Mobile Top 10 outlines critical security risks for mobile apps, including: 1. Improper Credential Usage: Mishandling of passwords and session tokens. 2. Inadequate Supply Chain Security: Risks from unverified third-party components. 3. Insecure Authentication/Authorization: Failures in verifying user identities. 4. Insufficient Input/Output Validation: Lack of checks on incoming and outgoing data. 5. Insecure Communication: Unprotected data during transmission. 6. Inadequate Privacy Controls: Poor safeguards for personal data. 7. Insufficient Binary Protections: Lack of defenses against reverse engineering. 8. Security Misconfiguration: Improperly secured application settings. 9. Insecure Data Storage: Weak protection of sensitive information on devices. 10. Insufficient Cryptography: Use of weak or improperly implemented encryption. AutoSecT, an AI-driven mobile app security testing platform, detects these risks through various methods, including static code analysis, software composition analysis, and dynamic testing. It helps developers identify and mitigate vulnerabilities effectively.