RESOURCES
Black Hat minded security exploit development
Cybersecurity Library, VerSprite Security Resources, Threat Modeling, Ebooks & Guides
PASTA Threat Modeling for Integrated Risk Management
PASTA is the Process for Attack Simulation & Threat Analysis and is a risk-centric threat modeling methodology aimed at identifying viable threat patterns against an application or system environment.
Read About PASTA Threat Modeling
Attacking Your Assumptions: How Criminal Tactics Can Save Your Organization
In this article, VerSprite’s Offensive Security team explore the difference between common security risk assessments (vulnerability assessment, penetration testing, and red teaming) as we walk you through real exploits we have used to test organizations’ security protocols.
Read About Criminal Tactics
Threat Modeling
PASTA Threat Modeling for Security Architecture
Penetration Testing
HL735TER: An Open Source Burp Suite Extension for HL7 Penetration Testing
AI, Security Awareness, Security Training
The Current State of Social Engineering: 8 Threats Security Leaders Must Prioritize in 2026
Security Awareness
Deepfake Attacks: Why Phishing Training Isn’t Enough
News
PASTA vs. Other Threat Modeling Methodologies: Choosing the Right Approach
Threat Modeling
How Advanced Threat Modeling Helps CISOs Prioritize AI, Cloud & Third-Party Risk in 2026
Compliance Automation
How to Prioritize Security Risks by Business Impact Using Threat Modeling
Application Security
From Control Validation to Risk Understanding: The Case for Threat Modeling
Threat Modeling
Banking Threat Modeling Services for Compliance
AI, In The News
VerSprite Becomes a CREST AI Charter Signatory
Application Security, Threat Modeling
Why Attack Simulations Miss Business Logic Threats
Threat Modeling
7 Threat Modeling Services for Risk-Based Remediation
Mobile Security Testing, Threat Modeling
Scaling Threat Modeling for Banking Apps
Threat Modeling
9 Threat Modeling Deliverables CISOs Should Demand
AI, Regulatory Compliance, Security Governance
Compliance Automation for AI Security: Why Manual Evidence Collection Weakens Cloud Security
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