Petronella Cybersecurity News

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 […]

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 […]