Petronella Cybersecurity News

Confidential Computing: Collaborate Without Leaking Data Organizations increasingly face a paradox: the highest-value insights lie in joint analysis across data sets that span partners, competitors, and regulators, yet the risk of exposure, misuse, and regulatory breach grows with every copy and movement of data. Confidential computing resolves this paradox by allowing multiple parties to compute […]

Taming the “❌ Invalid response from OpenAI”: How to Build Resilient AI Integrations Few messages trigger more anxiety in an AI-powered application than a stark “❌ Invalid response from OpenAI.” It can appear sporadically in production logs, blow up critical user flows, and make debugging feel like chasing smoke. While the exact wording varies by […]

Security Data Lakes: Cut SIEM Spend, Improve Detection Security operations want two things that often feel at odds: comprehensive visibility and manageable cost. Traditional SIEM platforms are great for real-time alerting and correlation, but their ingest-based pricing and proprietary data stores create painful trade-offs. Teams either dial back telemetry to stay under budget or accept […]

Data Contracts: Stop Bad Data at the Source Introduction: A pact that changes outcomes Every data team has lived the same story: a quietly changed field upstream derails dashboards, machine learning features go stale, and urgent backfills devour a week of engineering time. Most fixes happen downstream where symptoms are visible, yet the cause sits […]

Passkeys for Enterprise: A Passwordless Playbook Enterprises have spent the last decade layering more controls on top of fragile passwords: complexity rules, frequent resets, one-time codes, push approvals, and security questions. Yet breaches and phishing still happen at scale, help desks remain overloaded with account recovery calls, and users experience friction at the worst possible […]

Model Provenance: The SBOM for Enterprise AI Introduction Enterprises are racing to operationalize generative AI, yet most lack a reliable way to answer the simplest questions about their models: What is inside? Where did it come from? Who changed it, when, and why? In software, the answer is the Software Bill of Materials (SBOM), a […]

On-Device AI: Cut Latency, Cloud Costs, and Risk Over the past decade, AI experiences have been delivered largely from the cloud: apps captured input locally, sent it to a remote model, then waited for a response. That architecture made sense while models were large, hardware-constrained, and tooling immature. But the landscape has shifted. Modern phones, […]

Data Clean Rooms: Privacy-Preserving Growth Engine Data clean rooms have emerged as a way for organizations to collaborate on data without sharing raw, personally identifiable information. They promise the best of both worlds: measurable business growth through richer insights and activation, and robust privacy protections aligned with evolving regulations and consumer expectations. When designed well, […]

Data Mesh vs Data Fabric: Choosing Your Enterprise Future Enterprises are swimming in data yet struggle to put it to work. Two architectural movements dominate the conversation: Data Mesh and Data Fabric. Each promises to tame complexity, accelerate delivery, and govern safely at scale. Yet they approach the challenge from different starting points—one emphasizes organizational […]

Knowledge Graphs for Enterprise AI: From Silos to Value Enterprises have spent decades collecting vast amounts of data, yet struggle to convert it into timely, trustworthy insight. Data lives in silos, teams speak different vocabularies, and AI systems hallucinate or drift because they can’t ground their answers in a shared understanding of the business. Knowledge […]

RAG vs Fine-Tuning: A Buyer’s Guide for Enterprise AI Enterprises are moving past pilots and into production with generative AI, but many teams stall on a basic design choice: Should we use retrieval-augmented generation (RAG), fine-tuning, or both? The right answer changes cost, time-to-value, risk profile, and even the organizational skill set you’ll need. This […]

The Machine Identity Crisis in Cloud Security Introduction: When Machines Outnumber People In modern cloud environments, machines outnumber humans by orders of magnitude. Microservices, serverless functions, data pipelines, build agents, IoT gateways, and bots all talk to each other—and to external services—using non-human credentials. These machine identities are the connective tissue of digital systems, and […]

Post-Quantum Cryptography: A CIO Readiness Guide Introduction Quantum computing promises breakthroughs in science and industry, but it also threatens the cryptography that protects digital business. As a CIO, you don’t need to wait for a fault-tolerant quantum computer to be operational to feel the impact. Strategic decisions you make in the next 12–24 months will […]

Sovereign AI: Data Residency as a Competitive Edge The term “sovereign AI” is quickly moving from policy papers and keynote slides into boardroom decisions and product roadmaps. At its core, it captures a simple idea: organizations and countries want control over the data, models, and infrastructure that underpin their most valuable AI capabilities. In practice, […]

Shadow IT, Solved: SSPM for Secure SaaS Growth Every high-growth company runs on SaaS. Marketing scales with creative platforms, sales closes deals in CRM, engineering pushes code to cloud repos, and finance automates everything from billing to audits. The same agility that fuels growth also creates blind spots: employees adopting tools without approval, overly permissive […]

Identity Threat Detection and Response for Zero Trust Identity has become the primary boundary of enterprise defense. In a world of SaaS-first workflows, hybrid infrastructure, and distributed teams, a user’s identity—and the tokens, roles, and permissions it carries—determine what can be reached, changed, or exfiltrated. Zero Trust reframes security around this reality: never trust by […]

AI Red Teaming: Break Models to Build Trust Why “Breaking” AI Builds Confidence Every transformative technology earns trust the same way: by surviving tough tests. Airplanes go through wind tunnels, pharmaceuticals endure trials, and software faces penetration testing. AI now runs critical workflows—from underwriting and customer support to medical drafting and code generation—yet many organizations […]

Copilots for Sales and Service: ROI Beyond the Hype Introduction Across sales floors and service centers, AI “copilots” promise everything from instant deal velocity to perfect first-contact resolution. Leaders are rightly excited—and skeptical. Beyond glossy demos and anecdotal wins, the critical question is simple: where does repeatable, defensible return on investment actually come from? This […]

Enterprise LLMOps: Monitoring, Safety, and ROI Enterprises have raced from proof-of-concept chatbots to mission-critical AI assistants, code copilots, and document analyzers. The difference between a flashy demo and a dependable system is not a bigger model—it’s the operational discipline around it. Large Language Model Operations (LLMOps) sits at the intersection of MLOps, application observability, security […]

From Pilots to Impact: Change Management for AI Organizations everywhere can point to a handful of AI pilots that looked promising, demoed well, and then quietly faded. The real challenge is not proving AI can work once; it’s building the muscle to repeatedly convert pilots into scaled solutions that change customer experiences, cost structures, and […]