Cybersecurity Blog

Stay ahead with insights from Red Sentry’s team, covering penetration testing, compliance, and offensive security trends.

PARTNERSHIP ANNOUNCEMENT

The Compliance Reality Check: Shifting from ‘Tracking Issues’ to ‘Enforcing Security’

Traditional compliance platforms only track issues, leaving execution to teams. By pairing Rippling’s automated security enforcement with Red Sentry’s offensive penetration testing, companies achieve continuous, verifiable security instead of passive checklists.

PENTESTING TEAM, TOOLS AND TECHNIQUES

Securing the Pipeline: Why Standard Monitoring Fails Your Claude and OpenAI APIs

Traditional monitoring fails Claude and OpenAI integrations because it ignores semantic context, missing vulnerabilities like prompt injection and data exfiltration. Securing this pipeline requires context-aware API pentesting, not just uptime metrics.

PENTESTING TEAM, TOOLS AND TECHNIQUES

The 2025 OWASP Shift: From "Bad Code" to "Broken Ecosystems"

Modern web security has shifted from fixing isolated coding flaws to protecting interconnected ecosystems, requiring organizations to secure complex APIs, CI/CD pipelines, and third-party dependencies through continuous, holistic penetration testing.

INDUSTRY

The Attorney-Client Privilege Portal: Why Encryption isn't Security

Encryption only protects data in transit, not its integrity. Without validation, malicious files uploaded via client portals can bypass security, allowing hackers to compromise legal servers and exfiltrate confidential data.

PENTESTING TEAM, TOOLS AND TECHNIQUES

Identity is the New Perimeter: Bypassing MFA in Web Apps

Cybersecurity has shifted from firewalls to identity-based perimeters. However, attackers bypass traditional MFA through session hijacking, token theft, and fatigue tactics. Organizations must adopt phishing-resistant authentication to secure cloud-based applications.

PENTESTING TEAM, TOOLS AND TECHNIQUES

Securing the "Prompt": Defending Web Apps with Integrated LLMs

Integrating LLMs into web apps creates "Prompt Injection" risks, where malicious prose tricks models into bypassing security. Organizations must use privilege minimization and rigorous filtering to prevent AI from becoming a "confused deputy."