Cybersecurity, taught by people who actually broke things.
Most security writing picks one reader: an engineer, or an executive. Synthreat is written for both on the same page: real, evidence-based material, not rehashed tutorials, built for anyone starting out in the field and for anyone who has to explain why this matters to a client who isn't technical.
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AI Security
The security concerns specific to building and operating AI systems, across the data, the model, the infrastructure, and the application layer around it.
Domain OverviewApplication Security
The concepts, tooling categories, and practices that make up application security, and where it fits relative to network and infrastructure security.
Domain OverviewBlue Team & Security Operations
What defenders actually do day to day, detection, monitoring, and response, and how red teaming pressure-tests this discipline.
Domain OverviewCloud Security
What changes about security when infrastructure moves to the cloud, the shared responsibility model, and the misconfigurations that cause most real cloud incidents.
Methodology
AI Penetration Testing
How testing an AI-powered system fits into the target-surface taxonomy, and why most practitioners call this discipline "AI red teaming" instead.
AI Red Teaming
Why AI systems need their own adversarial testing discipline, what's actually being tested (the model, the surrounding application, or both), and how it differs from traditional red teaming.
Cloud Penetration Testing
Why cloud testing reviews configuration rather than hunting for code-level bugs, and what an IAM- and storage-focused engagement actually covers.
Continuous Threat Exposure Management (CTEM)
A structured, ongoing program for finding, prioritizing, and validating an organization's real exposure, instead of relying on one point-in-time test a year.
Frameworks & standards
Cybersecurity Frameworks & Standards
A map of the major frameworks referenced across this site, what problem each one actually solves, and how they relate to each other.
MITRE ATT&CK
What MITRE ATT&CK actually catalogs, how tactics and techniques differ, and why it's the shared vocabulary behind every attack-technique page on this site.
The CIS Critical Security Controls
A prioritized, actionable list of specific technical safeguards, and how it differs from a broader risk-management framework like NIST CSF.
The NIST Cybersecurity Framework (CSF)
Why the NIST CSF is a way of organizing a security program rather than a checklist of specific technical controls, and how organizations actually use it.
Compliance & regulations
Cybersecurity Compliance & Regulations
A working map of the major compliance regimes a business might face, who each applies to, what it requires, and the services a security practice offers to help meet them.
GDPR (General Data Protection Regulation)
Who the EU's data protection law actually applies to, what it requires from a security standpoint, and how it differs from a generic privacy policy.
HIPAA (Health Insurance Portability and Accountability Act)
Who counts as a covered entity or business associate under US health data law, and what the Security Rule actually requires in practice.
India's DPDP Act (Digital Personal Data Protection Act)
How India's own data protection law compares to GDPR, who it applies to, and what it requires from a security standpoint.
Attack techniques
Advanced Persistent Threat (APT)
What distinguishes a sustained, patient, multi-stage intrusion from a single opportunistic attack, and why detecting one takes a different posture than catching a fast, loud attack.
AI-Powered Attacks
How generative AI lowers the cost of convincing phishing and deepfake-enabled social engineering at scale, and what actually changes for defense as a result.
Brute Force
How systematic password guessing works against real-world rate limits and account lockouts, and why it succeeds almost exclusively against weak or default credentials.
Business Email Compromise (BEC)
Why targeted, researched impersonation of an executive or vendor causes some of the largest direct financial losses of any attack technique on this list, and how it's actually verified against.
Vulnerability classes
Misinformation
A model states false or unsupported information with the same fluent confidence as a correct answer, and a user or downstream system relies on it as fact.
AI Sensitive Information Disclosure
A model reveals fragments of its training data, another user's conversation context, or internal instructions it was never meant to disclose, through nothing more than an ordinary-looking query.
AI Model & Training Data Supply Chain Risks
A third-party model, dataset, or hosting component compromised before it reaches an application, the same supply-chain pattern as any other dependency, applied to the AI pipeline.
Identification and Authentication Failures
How weaknesses in confirming who someone is, not in what they're allowed to do once confirmed, open the door to account takeover at scale.