Petronella Cybersecurity News

Crypto-Agile by Design: The Enterprise Playbook for Post-Quantum Cryptography Migration Across TLS, PKI, and Code Signing Quantum computing changes the risk calculus for every enterprise that depends on cryptography—which is to say, every enterprise. Even before fault-tolerant quantum machines exist, adversaries can capture encrypted traffic and sensitive binaries today in a “harvest-now, decrypt-later” strategy, waiting […]

From Farm to Thanksgiving Table: Blockchain, IoT Cold Chain, and FSMA 204 Traceability for Safer, Smarter Food Supply Chains Every Thanksgiving, a sprawling, time-critical supply chain springs into synchronized motion. Turkeys leave farms for processors, cranberries and leafy greens move from fields to packers, and refrigerated trucks crisscross the country delivering ingredients to retailers and […]

Carving Truth at the Table: How C2PA Content Provenance and Watermarking Safeguard Enterprises from Deepfakes and Fraud In an age when a convincing fake face, voice, or document can be assembled in minutes, enterprises need a way to carve truth at the table—to present evidence of what happened to a piece of content, who touched […]

Clear the Plate: Machine Unlearning for Enterprise AI—Operationalizing the Right to Be Forgotten Across LLM Fine-Tunes, RAG Pipelines, and Vector Databases Enterprises building AI capabilities are coming to terms with a difficult truth: it is not enough to delete data; AI systems must forget it. The “Right to Be Forgotten” is no longer a privacy […]

From Table Stakes to Tabletop: AI Incident Response and Kill-Switch Playbooks AI is now threaded through customer support, search, code generation, fraud detection, content moderation, and more. As organizations scale beyond pilot experiments, they inherit a new kind of operational risk: models that behave unexpectedly, agents that act autonomously, prompts that are weaponized, and data […]

Stop Overstuffing the Cloud: On-Device AI with NPUs and Small LLMs for Private, Low-Latency Enterprise Apps The last few years turned “put it in the cloud” into a reflex for anything involving machine learning. But as generative AI moves from demos to mission-critical workflows, many enterprises are discovering that funneling everything through remote APIs is […]

Set the Table for Developer Velocity: Platform Engineering and Internal Developer Platforms for Secure, AI-Ready Delivery Introduction: Lay the Table Before Serving the Meal High-performing software teams look fast from the outside, but the secret to their speed is rarely heroics or hustle. It’s mise en place: having everything ready, organized, and within reach before […]

The Shadow AI Potluck: How to Inventory, Govern, and Channel GenAI Tool Sprawl Without Killing Innovation Walk into almost any organization today and you’ll discover a buffet of GenAI tools already on the table—chatbots in browsers, code assistants in IDEs, AI meeting note-takers, writing copilots in office suites, and a dozen browser extensions quietly summarizing […]

Trim the AI Cost Turkey: An AI FinOps Playbook for LLM Cost Optimization, Token Budgets, Caching, Model Right-Sizing, and ROI Guardrails Generative AI unlocked whole categories of experiences—natural language search, instant analytics, copilots, dynamic personalization. It also unlocked a new line item on your cloud invoice that can balloon faster than your user base. The […]

From Pilots to Co-Pilots: An AI Operating Model That Scales Across CRM, Sales, and Customer Service Introduction AI is no longer a side project tucked into a lab; it is becoming the connective tissue across customer-facing teams. The shift that matters most now is from isolated pilots to durable, trusted “co-pilots” embedded in daily workflows—recommendations […]

Glass-Box AI: LLM Observability, Evals, and Feedback Loops for Reliable Production Systems Large language models have moved from demos to mission-critical workflows in customer support, knowledge management, coding assistance, and decision support. Their flexibility is alluring—but that same flexibility can hide unstable behavior, cost surprises, and safety landmines. Reliability comes not from a single clever […]

The AI Bill of Materials: SBOMs, Model Cards, and Dataset Lineage for Supply-Chain-Grade Trust Trust in artificial intelligence is no longer a matter of glossy marketing or one-time audits. As AI systems move from demos to critical infrastructure—triaging patients, underwriting loans, navigating vehicles, coding and deploying software—the question becomes whether an organization can demonstrate supply-chain-grade […]

Consent-First Growth: Clean Rooms, CDPs, and Federated AI for Privacy-Safe Personalization Personalization does not have to trade trust for performance. The extinction of third-party cookies, mobile platform privacy changes, and stricter enforcement of global data protection laws have made that clear. The modern growth playbook is consent-first: earn permission, keep data minimized and well-governed, and […]

From Passwords to Passkeys: Phishing-Resistant MFA with FIDO2/WebAuthn for a Zero-Trust SaaS Enterprise Why this shift matters now Passwords and legacy MFA have struggled to keep up with modern threats and modern work. SaaS-first enterprises operate beyond traditional network perimeters, while attackers automate credential stuffing, social engineering, MFA fatigue, and real-time phishing proxies. Zero Trust […]

From SharePoint to Slack: Unstructured Data Readiness for Enterprise AI Search and Agents Enterprise knowledge lives in places people, not systems, choose. That means PowerPoint decks on SharePoint, long project threads in Slack, policy PDFs on Box, meeting recordings in OneDrive, comments in Figma, terminal logs in Jira, and a thousand other nooks. For years, […]

From Policy to Proof: ISO/IEC 42001 as the Operating System for Enterprise AI Every enterprise now publishes AI principles: be fair, be transparent, be safe. Yet in board meetings, audit committees ask a blunt question: can you prove it? The gap between policy and proof is where most AI programs struggle. Tooling is fragmented, teams […]

Security Chaos Engineering for AI-First Enterprises: Break Things Safely to Build Digital Resilience AI-first enterprises ship products that learn, reason, and act. They rely on models that ingest billions of tokens, use retrieval from proprietary knowledge bases, and call tools that can change customer data or trigger payments. This power comes with unique security risks: […]

When the Users Are Bots: Zero-Trust Machine Identity, ITDR, and Secrets Hygiene Across Cloud, SaaS, and AI Pipelines Increasingly, the most active “users” in your environment aren’t people. They’re bots, service accounts, ephemeral containers, GitHub Apps, SaaS connectors, RPA scripts, data pipelines, build agents, and LLM-powered automations. These machine identities request tokens, call APIs, move […]

Data Contracts Are the New SLAs: The Operating Model for Reliable AI, Analytics, and CRM Software organizations learned long ago that service level agreements (SLAs) and their more precise cousins—service level objectives (SLOs) and indicators (SLIs)—create a shared language for reliability. Today, data-driven teams need an equivalent. As data powers machine learning, real-time analytics, and […]

From RBAC to Policy-as-Code: ABAC/PBAC for Securing LLMs, Vector Databases, and Enterprise AI Agents Enterprises are racing to adopt large language models (LLMs), vector databases, and autonomous or semi-autonomous AI agents. The speed and usefulness of these systems are undeniable—but so are the new security risks. Traditional role-based access control (RBAC) cannot keep up with […]