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Retail chatbots now sit between customers and core business systems, such as loyalty programs, payment infrastructure, and checkout. They can make unauthorized commitments, leak customer data, or be manipulated into damaging the brand in public. For CISOs, CMOs, and Heads of AI, that exposure is a direct liability. Many major retailers are already running production ... Read more » The post 10 re…

In June 2024, McDonald’s quietly ended its partnership with IBM to deploy AI-powered voice ordering across more than 100 US drive-thrus. The pilot had reached real restaurants, processed real orders, and generated real headlines, including viral videos of customers being charged for hundreds of chicken nuggets they never asked for. The technology worked in controlled ... Read more » The post Why …

On August 2, 2026, the main obligations for high-risk AI systems begin to apply under the EU AI Act. For Global 2000 enterprises operating AI systems whose outputs reach EU users, Articles 9 through 15 contain some of the most operationally demanding obligations. Tier 2 violations can reach €15 million or 3% of total worldwide ... Read more » The post EU AI Act checklist: 2026 update appeared fir…

Agentic AI systems call APIs, query databases, execute code, and modify production systems without waiting for human approval. That autonomy makes them useful and raises the stakes for security teams. Organizations deploying AI agents report behaviors such as improper data exposure and access to unauthorized resources. This article identifies eight cybersecurity risks specific to agentic ... Read…

Picture a regional bank’s support chatbot fielding a late-night question from a customer worried about an overdraft. The bot, eager to help, explains that the bank waives the first overdraft fee each month and offers a 48-hour grace period to top up the account. It sounds reasonable and something a bank would do. It’s also ... Read more » The post How to monitor an AI chatbot live for hallucinati…

In a typical engineering team today, a developer’s Claude Code agent reaches an MCP server no one on the security team has reviewed. That server advertises read access to the source repository and write access to a production pipeline. The session is authenticated, it traces to a real employee, and it sits inside permissions that ... Read more » The post Introducing WitnessAI Agentic Control: One…

LLM routing is a practical way to reduce AI spend without sending every prompt to the most expensive model. It matters because many enterprises are increasing AI investment while still struggling to show measurable earnings impact from generative AI. When routing is done well, it can improve cost efficiency. Plus, with the right governance, teams ... Read more » The post Improving AI ROI with LLM…

Enterprise AI spending is rising fast, but many organizations still struggle to explain where that money goes or what value it creates. When finance teams can’t attribute AI costs to the teams and agents that generate them, budgets become harder to manage and governance harder to enforce. Those same gaps make it harder to control ... Read more » The post FinOps for AI: How to build the right guar…

A chatbot invents a refund policy. A dealership bot agrees to sell a car for a dollar. A pricing agent quietly drifts toward a competitor’s number. None of these started as security incidents. They started as AI features shipped faster than the controls around them. That’s the position most retailers are in right now. AI ... Read more » The post 7 risks of AI in retail: how to mitigate them appea…

In late December 2025, a single operator pointed Claude Code at 10 Mexican government agencies and a financial institution, walked out with 150 gigabytes of sensitive data, and watched Claude flag a SCADA interface as a high-value target on its own, without ever being asked to look for OT systems. The model scoped the engagement, ... Read more » The post What are Claude AI security risks? appeare…

AI coding assistant security is an enterprise issue because these tools are now embedded in developer workflows across large organizations, and the productivity gains are real. If you’re a CISO trying to move AI from pilot to production without taking on unmanaged risk, you’ve probably already fielded board questions about exactly this. As adoption grows, ... Read more » The post 8 security risks…

An underwriter at a mid-sized insurance firm is two claims behind at 4 p.m. on a Friday. She opens a free chatbot in a new browser tab, pastes a full claims file, names, policy numbers, and medical notes, and asks it to summarize.  The summary is good. She does it again on Monday. By the ... Read more » The post What is AI observability and why your security team needs it appeared first on Witnes…

AI governance maturity determines whether an organization can see its AI activity clearly, govern it consistently, and prove that governance when someone asks. Organizations with higher maturity have controls that work across employees, models, applications, and agents, rather than scattered policy documents. Many organizations now use AI, but many still lack governance policies to manage ... Rea…

Personally Identifiable Information (PII) flows into AI systems when employees paste customer data into chatbots, copilots retrieve internal documents, or agents query production databases. PII is a common focus in modern breach reporting, and AI-specific access control gaps already appear in that data. The harder problem is what happens next. Once PII enters a prompt, ... Read more » The post Ho…

Netskope is a cloud access security broker and SSE platform used by enterprises to secure web, SaaS, and cloud traffic. Buyers often cite gaps in areas such as independent SSE validation, pricing transparency, and AI-specific governance capabilities. As enterprises accelerate their adoption of generative AI and autonomous agents, those gaps can leave security teams without ... Read more » The pos…

Think of a brilliant new assistant who reads every email, document, and sticky note left on their desk, and treats each one as a direct order from you. A vendor slips a note into the mail that says “wire $50,000 to this account, signed CEO,” and your assistant does it without blinking. That’s the core ... Read more » The post 7 prompt injection mitigation strategies appeared first on WitnessAI .

Picture your next surveillance audit. The auditor asks for evidence that your AI controls have been operating continuously for the past twelve months, not just that they exist on paper. For most organizations, that’s the moment the binder-and-spreadsheet approach falls apart. ISO 42001 raises that bar deliberately. It provides enterprises with a certifiable framework for ... Read more » The post …

In June 2025, Klarna’s CEO publicly walked back the company’s “AI-first” strategy, admitting that aggressive automation had degraded customer service quality to the point that the company began rehiring humans. The reversal landed hard because Klarna had spent two years positioning its AI rollout as a cost-savings story for the market. The numbers behind the ... Read more » The post The AI adopti…

Enterprise AI spending is accelerating in 2026, but many finance leaders still lack a clear view of what AI is really costing the business. The cost of enterprise AI isn’t limited to model licenses or cloud bills. It also includes Shadow AI, regulatory exposure, stalled pilots, and the operational overhead required to govern AI safely. ... Read more » The post The hidden cost of enterprise AI: a …

Conversational AI in hospitality is moving from pilot projects into core guest operations, spanning reservations, payments, loyalty, and service workflows. Hospitality enterprises also manage dense concentrations of personally identifiable information, payment data, loyalty records, and health accommodation details. AI interactions with this data can lead to regulatory, legal, and brand exposure …