Petronella Cybersecurity News

From Moats to Air Traffic Control: Building an AI-Ready Data Perimeter with DSPM, SSPM, and CIEM Why the Old Moats No Longer Work For decades, security teams built “moats and castles”: a hardened perimeter, a screened gateway, and a trusted interior. That model assumed we knew where the walls were and which assets lived inside. […]

NIST 800-50: Building an IT Security Awareness & Training Program Security breaches rarely begin with exotic zero-day exploits. More often, they start with human decisions—clicks, approvals, and oversights. NIST Special Publication 800-50, “Building an Information Technology Security Awareness and Training Program,” addresses this reality head-on by providing a practical blueprint for developing, operating, and improving […]

Prompt Injection Is the New SQL Injection: A Security Playbook for Enterprise LLMs and AI Agents Introduction Enterprises raced to adopt large language models (LLMs) and AI agents for customer support, internal search, document drafting, coding help, and automated workflows. Then came a rude awakening: adversaries could steer these systems with carefully crafted text hidden […]

Crypto-Agile by Design: Post-Quantum Readiness for Cloud, SaaS, and AI Pipelines Introduction: Why Crypto-Agile, Why Now Enterprises are standing on three converging tectonic plates: hyperscale cloud, software-as-a-service everywhere, and AI pipelines that connect data to decisions at breakneck speed. Each plate depends on cryptography—confidentiality, integrity, identity, and attestation—to function safely at scale. A looming fourth […]

Fixing “OpenAI Error: OpenSSL SSL_read: SSL_ERROR_SYSCALL, errno 104” Few errors are as unsettling as a cryptic, low-level failure message popping up in the middle of a perfectly ordinary API call. If you’ve seen “OpenAI Error: OpenSSL SSL_read: SSL_ERROR_SYSCALL, errno 104,” you’re dealing with a connection that fell apart at the transport layer while TLS was […]

Sovereign AI Is a Design Pattern, Not a Datacenter: Data Residency, VPC Isolation, and Multi-Cloud Control Planes for Regulated Enterprises “Sovereign AI” is often misunderstood as a costly, rigid infrastructure requirement—build your own datacenters, buy sovereign GPUs, keep everything on-prem forever. In reality, sovereignty is a design pattern: a set of architectural, operational, and governance […]

Confidential AI for the Enterprise: BYOK, Trusted Execution Environments, and Private Inference Patterns for HIPAA- and PCI-Ready ML Enterprises want the speed and creativity of modern AI without surrendering control of their most sensitive data. In healthcare and payments, that appetite is tempered by strict rules: HIPAA mandates rigorous protection of protected health information (PHI), […]

From Cloud to Edge: Building Offline-Capable, Privacy-First AI Agents for Frontline Operations The most transformative AI products of the next decade won’t sit in data centers; they’ll ride in ambulances, clip onto helmets, dock into forklifts, and live on ruggedized tablets in the hands of people doing real work. Frontline environments—field service, healthcare, retail, energy, […]

RAG vs Fine-Tuning vs Small Language Models: The ‘Spellbook’ Architecture Guide for Secure, Cost-Effective Enterprise AI Introduction: Why the Enterprise Needs a Spellbook Enterprises do not need one more chatbot. They need reliable, secure, cost-aware systems that can reason over proprietary knowledge, follow policy, and integrate with business processes. Three architectural levers dominate today’s choices: […]

AI FinOps: Turning Tokens into Outcomes—A Practical Playbook for Cost, Performance, and Risk Governance at Enterprise Scale AI capabilities are moving from pilot to production at a breakneck pace. With that shift comes a new reality: the most exciting AI prototypes can become the most expensive and operationally fragile services you run. Enterprise leaders are […]

Proving Your AI’s Receipts: Content Provenance (C2PA), Watermarking, and Deepfake Defense for Enterprise Marketing and Customer Communications Generative AI is now embedded in marketing and customer communications, accelerating creative production, personalization, and service interactions. Yet the same technologies that power growth also enable convincing misinformation, brand impersonation, and fraud. Executives are asking a new question: […]

From Fire Drill to Flight Check: A Business Continuity and Incident Response Playbook for Enterprise LLMs Large Language Models are moving from experimental pilots to production systems that route customer queries, draft contracts, summarize investigations, and guide internal decisions. That shift raises a practical question: How do you keep the business running and respond when […]

AI Governance That Scales: Nutrition Labels, SBOMs, and Data Lineage to Secure the Enterprise Model Supply Chain Enterprises are adopting AI at an accelerating pace, but the governance apparatus required to keep models safe, compliant, and trustworthy often lags behind. Traditional controls built for software fall short when the “product” includes probabilistic models learned from […]

From Black Box to Flight Recorder: AI Observability, RAG Security, and DSPM for Safer CRM and Customer Support Copilots Introduction Customer relationship management and support systems are the beating heart of many businesses, capturing interactions, issues, purchases, preferences, and sometimes the most sensitive personal data. When an AI copilot sits inside that flow, drafting replies, […]

Shadow AI Is the New Shadow IT: A Zero-Trust Playbook for Safe, High-ROI Automation Across Sales, Customer Service, and the Cloud Five years ago, CIOs were busy corralling unsanctioned SaaS tools and rogue cloud workloads. Today, the same pattern is repeating with generative AI and automation. Employees are stitching together public chatbots, browser extensions, and […]

Train the Model, Not the Risk: Federated Learning vs Data Clean Rooms for Privacy-Safe AI in the Enterprise Introduction Enterprises want the upside of AI without the downside of data leakage, regulatory penalties, and reputational harm. Two approaches have surged to the forefront: federated learning, which keeps data local and moves models instead, and data […]

Secure RAG for the Enterprise: How to Build Private, Compliant LLM Assistants with Data Governance and Zero Trust Retrieval-augmented generation (RAG) has emerged as the most pragmatic path for enterprises to harness large language models (LLMs). By grounding an LLM’s responses in your own knowledge base—policies, procedures, customer records, product docs—you get higher accuracy, more […]

Agentic AI in the Enterprise: Orchestrating Autonomous Workflows for Supply Chain, Finance, and IT Enterprises are no longer asking if AI can generate insights; they want AI that takes action. Agentic AI refers to systems of AI “agents” that plan, decide, and execute tasks autonomously across business processes—while staying within guardrails. When designed well, these […]

From SIEM to AI-Driven SOC: Orchestrating XDR, SOAR, and Copilots for Faster Incident Response Security operations centers have never lacked data; they’ve lacked time. The longstanding model—centralize logs in a SIEM, write correlation rules, and queue alerts to analysts—produced incremental gains but struggled under the weight of cloud sprawl, identity-centric attacks, and adversaries that iterate […]

Defeating Deepfake Fraud: AI Identity Proofing, Payment Protection, and Brand Defense for the Enterprise The Deepfake Tipping Point: Why Enterprises Must Rethink Trust Enterprises have spent decades building layered defenses around networks and data. Now a new class of risk has moved from the periphery to the center: synthetic media and AI-fueled social engineering. Audio […]