GitHub Actions Security: Risks, Exploits, and Hardening
A comprehensive guide to GitHub Actions security vulnerabilities, common exploit patterns, and how to audit and harden your CI/CD pipelines …
A comprehensive guide to GitHub Actions security vulnerabilities, common exploit patterns, and how to audit and harden your CI/CD pipelines …
Frameworks for controlling who can access resources, including DAC, MAC, RBAC, and ABAC.
How evasion, poisoning, and model extraction attacks threaten ML systems, and the defenses available to mitigate them.
Security considerations for AI systems, covering prompt injection, data poisoning, model theft, access control, and building …
Verifying model weights, scanning dependencies, and securing the end-to-end supply chain for AI artifacts from training to deployment.
AI augments traditional security scanners by understanding code context, reducing false positives, and identifying vulnerabilities that …
A comprehensive reference for Amazon Fraud Detector: building fraud detection models, defining rules, and integrating real-time fraud …
What an API gateway is, how it manages API traffic, and when to use managed gateways versus custom solutions.
Public-key cryptography using mathematically related key pairs, including RSA and elliptic curve algorithms.
The distinction between verifying identity (authentication) and granting access permissions (authorization), including the AAA model.
Practical guide for implementing cloud governance on AWS for AI and ML workloads, covering Organizations, SCPs, tagging, cost management, …
Comparison of AWS and Azure governance capabilities for AI workloads, covering organization management, policy enforcement, cost control, …
AWS WAF is a web application firewall that protects web applications and APIs from common exploits, bot traffic, and malicious requests at …
The three fundamental objectives of information security that guide the design and evaluation of security controls.
Google Cloud Armor provides web application firewall (WAF), DDoS protection, and adaptive security policies for applications deployed on …
The framework of policies, processes, and controls that organizations use to manage cloud resources, ensure compliance, control costs, and …
What DevSecOps means, how it integrates security into every stage of CI/CD, and why shifting security left is essential for AI/ML systems …
Public key infrastructure (PKI) mechanisms for verifying authenticity and integrity using X.509 certificates and digital signature schemes.
A comprehensive framework for governing cloud environments that host AI workloads, covering organizational structure, policy enforcement, …
Network security devices and techniques that control traffic flow between networks, including packet filtering, stateful inspection, and …
Implementing input validation, output filtering, and safety layers that prevent AI systems from generating harmful, off-topic, or …
One-way functions that produce fixed-size digests from arbitrary input, including SHA-256, MD5, and bcrypt.
How homomorphic encryption enables computation on encrypted data, allowing ML inference without exposing sensitive inputs.
The foundational web protocols for transferring hypertext documents and resources, with HTTPS adding encryption via TLS for secure …
What Istio is, how it implements a service mesh on Kubernetes, and when the operational overhead is justified.
What NAT gateways do, how they enable private subnet internet access, and cost considerations for AWS deployments.
OAuth is an open standard for delegated authorization, originating from Blaine Cook and Chris Messina's work at Twitter in 2006-2007 and …
Practical guide to the OWASP Top 10 vulnerabilities for LLM applications, covering prompt injection, data leakage, supply chain risks, and …
Authorized simulated attacks on systems to identify security vulnerabilities before malicious actors exploit them.
An attack technique where malicious input manipulates an LLM into ignoring its instructions, executing unintended actions, or revealing …
Layered defense strategies against prompt injection attacks in production LLM applications: input validation, output filtering, privilege …
What red teaming is in AI, how adversarial testing discovers vulnerabilities and failure modes before deployment, and best practices for …
How to plan and execute red team exercises that systematically probe AI systems for vulnerabilities, biases, and failure modes before …
How to manage API keys, credentials, and sensitive configuration in AI pipelines using vault integration, rotation policies, and secure …
How to integrate security scanning into AI/ML CI/CD pipelines: dependency scanning, container image analysis, model file validation, secrets …
Structured approaches for identifying and prioritizing security threats, including STRIDE, DREAD, and attack trees.
What subnets are, how they segment VPC networks, and best practices for subnet architecture on AWS.
Cybersecurity practices for managing risks across the chain of vendors, open-source components, and third-party services that AI systems …
Encryption algorithms that use the same key for both encryption and decryption, including AES and DES.
Transport Layer Security and its predecessor Secure Sockets Layer, cryptographic protocols that provide encrypted communication and …
What a VPC is, how it provides network isolation on AWS, and essential VPC design considerations for AI workloads.
What zero trust means, how it replaces perimeter-based security, and why AI model serving and data access require zero trust principles.
Applying zero trust architecture to AI systems: securing inference endpoints, model artifact access, training data, and service-to-service …
The Well-Architected pillar covering IAM, encryption, network security, and detection - and how it applies to AI workloads including …
What the shared responsibility model is, how AWS, Azure, and GCP divide security duties, and special considerations for AI and ML workloads.
How AWS shared responsibility applies to AI and ML workloads: data, model, and infrastructure responsibilities across Bedrock and SageMaker.
Amazon Cognito User Pools and Identity Pools: JWT token structure and expiry, MFA options, SAML/OIDC federation, Lambda triggers, rate …
Authentication, authorization, encryption, the OWASP Top 10, and the zero trust model. The baseline security practices that every production …
The cloud architecture review methodology used by AWS, Azure, and Google Cloud to evaluate workloads against proven best practices across …