Post-quantum cryptography refers to cryptographic algorithms designed to resist attacks by quantum computers. SecurityX covers post-quantum considerations when planning long-term cryptographic strategy.
Zero Trust is a security model that verifies every request explicitly, enforces least privilege, and assumes breach rather than trusting the network perimeter.
SASE (Secure Access Service Edge) converges networking and security services — such as SD-WAN, SWG, CASB, and ZTNA — into a single cloud-delivered service.
Microsegmentation divides a network into small, isolated zones so that workloads can be secured and access controlled individually.
PKI (Public Key Infrastructure) is the framework of certificate authorities, keys, and policies that issues and manages digital certificates.
The certificate lifecycle is the full set of stages a digital certificate passes through — issuance, deployment, renewal, and revocation.
Post-quantum cryptography refers to cryptographic algorithms designed to resist attacks by quantum computers.
Prompt injection is an attack that plants adversarial instructions in the input to a generative AI system to subvert its intended behavior.
Model poisoning is an attack that corrupts an AI/ML model by tampering with its training data or parameters to degrade or manipulate its outputs.
AI security is the practice of protecting AI/ML systems and the data they use from threats such as prompt injection, model poisoning, and data leakage.
DevSecOps integrates security practices — such as scanning, secrets management, and policy-as-code — directly into the DevOps CI/CD pipeline.
Secrets management is the secure storage, rotation, and controlled access of credentials, keys, and tokens using tools such as vaults.
IaC (Infrastructure as Code) provisions and manages infrastructure through version-controlled definition files rather than manual configuration.
Threat hunting is the proactive search through networks and endpoints for threats that evade automated detection.
UEBA (User and Entity Behavior Analytics) detects threats by modeling normal behavior and flagging anomalies for users and entities.
Attack surface management is the continuous discovery, inventory, and reduction of an organization's exposed assets and entry points.