AI security

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Visa Ships a Security AI That Patches Your Code Before Any Human Reviews It

Visa has open-sourced the Visa Vulnerability Agentic Harness, the tooling it used to hunt for bugs across its own payment network, and its documentation contains a line worth pausing on: “A plain scan edits your code.” In its default configuration the harness runs discovery, remediation and validation end to end, writing candidate fixes straight into source files before any person has looked at the finding or the patch. Nothing reaches production without a human, but nobody approves the patch before it is written. This breakdown covers the four-phase, eleven-stage pipeline, exactly where the “no human review” claim holds and where it collapses, what Visa itself says about oversight, and the independent evidence that only 26% of AI-generated security patches fix the flaw without changing what the software does.

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Is Your Mobile App Ready for the Agentic AI Era?

AI agents from Apple, Google, OpenAI and Anthropic can now act inside mobile apps on a user’s behalf — discovering functionality, completing tasks and even paying. This guide explains the four routes agents take into your app, what agentic commerce protocols mean for checkout, the five signs an app is not ready, and a practical 90-day readiness checklist for app owners.

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Anthropic Makes Enterprise-Managed Auth for Claude MCP Connectors Generally Available

Anthropic has made enterprise-managed authorization for Claude MCP connectors generally available as of 24 August 2026, expanding coverage from seven connectors to ten — with Datadog, Notion and Slack joining and Exa, Miro and Zoom coming soon. Admins on Claude Team and Enterprise plans can now provision connector access centrally through Okta, removing per-user OAuth consent entirely. This article covers how the token exchange works, the MCP credential problem it fixes, how it compares with ChatGPT’s admin controls, and what IT teams should do now.

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Private AI for UK Businesses: How to Use LLMs Without Exposing Company Data

The general, all-sector answer to the question every UK business is now asking: how do you get the benefit of large language models without feeding them things you are paid to protect? This guide defines what private AI actually means, maps the five deployment levels from business-tier chatbots to fully self-hosted open-weight models, sets the UK GDPR and confidentiality position, prices a 20-person worked example across all four buyable routes, covers RAG without exposure, the NCSC and OWASP security layer, vendor due diligence in eight questions, and finishes with a 90-day rollout plan.

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Microsoft Copilot Agents: Security, Governance and Cost Guide

Copilot agents are the point at which Microsoft’s AI stops being an assistant that answers questions and becomes software that acts on your behalf. That shift is small in the interface and enormous everywhere else. An assistant that drafts an email is a productivity feature. An agent that reads a mailbox, decides something and sends […]

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Prompt Injection Risk: Essential Safe Assessment Guide

Prompt injection is the one attack class against business AI that has no structural fix, because instructions and data reach a language model through the same channel. This guide turns that into something you can manage: where injected instructions actually enter a business system, how to scope an assessment so it finishes in days, a ten-question likelihood and impact matrix anchored to observable facts, a control map showing which measures leave a low residual and which depend on the model behaving, how to build an injection corpus and test the boundary rather than the model, how to record findings in a register an auditor can follow, who owns the risk and what UK and EU regulators expect, realistic costs, and a 90-day plan.

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AI Red-Teaming: Essential Tests to Run Before a Safe Launch

Most AI systems reach launch having been tested only by people trying to make them work. Adversarial testing asks the other question: what happens when someone actively tries to make the system misbehave. This guide sets out what to test before go-live — how to scope the exercise and define harm in your own domain, the five attack classes that matter for business deployments, whether to run it internally, buy it in or automate it, how to score findings so severity cannot be renegotiated after the fact, which fixes actually hold, what the work costs in person-days and pounds, and the evidence pack that answers an enterprise security questionnaire and maps onto the EU AI Act, ISO 42001 and the NIST AI Risk Management Framework.

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Ethical AI: Implementation Guide – A Business Leader's Playbook

Ethical AI: Implementation Guide – A Business Leader’s Playbook

Ethical AI has become one of the most important strategic priorities for organizations adopting artificial intelligence at scale. As AI systems increasingly influence business decisions, customer experiences, financial operations, healthcare services, software development, recruitment, cybersecurity, and public services, organizations must ensure these technologies operate responsibly, transparently, securely, and fairly. Successful AI adoption is no longer […]

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Hugging Face AI Agent Security Breach: When Safety Guardrails Failed

Hugging Face AI Agent Security Breach: When Safety Guardrails Failed

Hugging Face AI Agent Security Breach highlights one of the most important cybersecurity lessons emerging from the rapid adoption of autonomous AI agents. During the incident, researchers demonstrated that built-in safety guardrails designed to prevent harmful AI behavior unexpectedly restricted defensive security operations while failing to stop the attacking AI agent. The event illustrates how […]

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AI Agent Memory Poisoning: Hidden Prompts Can Plant False Memories

AI Agent Memory Poisoning: Hidden Prompts Can Plant False Memories

AI Agent Memory Poisoning is emerging as one of the most significant security threats facing autonomous artificial intelligence systems with persistent memory capabilities. Artificial intelligence agents are becoming increasingly autonomous. Learn more about secure enterprise AI through Microsoft AI. Modern AI systems can browse the web, retrieve documents, maintain long-term memory, interact with software applications, […]

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