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Category: AI Security

Kubernetes Runtime Security

AI Security Security Automation

Kubernetes Runtime Security: Protecting Modern Containerized Workloads

/ by Maria A. | Leave a Comment

Kubernetes is now the most common way to manage containerized apps. It automates the deployment, scaling, and management of workloads, which makes it a key part of modern cloud-native setups. But with tremendous power comes a lot of work, and with a lot of work comes peril. You can't just think about security in Kubernetes later. Network policies, RBAC (Role-Based Access Control), and secure configurations are all good ways to stop problems before they happen. Runtime security is the last line of defense.

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data risk management framework

AI Security Risk Management

Data Risk Management Framework Explained: Protect, Comply, and Thrive

/ by Maria A. | Leave a Comment

Data is an organization's most valuable asset in the contemporary digital economy; however, it also poses one of its greatest hazards. The potential consequences of inadequate data management are severe, ranging from accidental disclosures and compliance obligations to insider threats and cyberattacks. Organizations utilize a Data Risk Management Framework (DRMF) to identify, assess, mitigate, and monitor risks associated with data throughout its lifecycle in order to effectively navigate this landscape.

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SOC Agent

AI Security Security Automation

SOC Agent: Next Evolution of Security Operations

/ by Maria A. | Leave a Comment

A SOC agent is an AI-powered software worker that performs day-to-day Security Operations Center tasks—triage, enrichment, correlation, ticket updates, and even guided response—by reading data from your tools (SIEM, EDR/XDR, email security, IAM, CSPM), reasoning over it, and taking actions through automations (SOAR, cloud provider APIs, ITSM). Think of it as a junior analyst who never sleeps and learns quickly, paired with strict guardrails so it cannot cause harm.

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cloud migration security strategy

AI Security Cloud Computing

Cloud Migration Security Strategy: Safeguarding Data and Workloads in the Cloud

/ by Maria A. | Leave a Comment

Cloud adoption has accelerated over the last decade as organizations seek scalability, agility, and cost efficiency. Enterprises are moving critical workloads from on-premises data centers to public, private, or hybrid cloud environments to stay competitive in a digital-first economy. However, this shift comes with one critical challenge: security.

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Five Ways Quantum Computing Will Change Cybersecurity Forever

AI Security Cloud Computing

Five Ways Quantum Computing Will Change Cybersecurity Forever

/ by Maria A. | Leave a Comment

Cybersecurity has always been a race between defenders building walls and attackers finding ways to climb over them. Firewalls, antivirus software, intrusion detection systems, and encryption standards all represent attempts to stay one step ahead of malicious actors. For decades, classical computing has defined the rules of this cat-and-mouse game. But now, quantum computing is preparing to rewrite those rules entirely.

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