All news with #shadow ai tag

Turning AI Visibility into Strategic CIO Priorities

🔎 Generative AI adoption in the enterprise has surged, with studies showing roughly 90% of employees using AI tools often without IT's knowledge. CIOs must move beyond discovery to build a coherent strategy that balances productivity gains with security, compliance, and governance. That requires continuous visibility into shadow AI usage, risk-based controls, and integration of policies into network and cloud architectures such as SASE. By aligning policy, education, and technical controls, organizations can harness GenAI while limiting data leakage and operational risk.

Shadow AI: One in Four Employees Use Unapproved Tools

🤖 1Password’s 2025 Annual Report finds shadow AI is now the second-most prevalent form of shadow IT, with 27% of employees admitting they used unauthorised AI tools and 37% saying they do not always follow company AI policies. The survey of 5,200 knowledge workers across six countries shows broad corporate encouragement of AI experimentation alongside frequent circumvention driven by convenience and perceived productivity gains. 1Password warns that freemium and browser-based AI tools can ingest sensitive data, violate compliance requirements and even act as malware vectors.

Evolving Enterprise Defense for the Modern AI Supply Chain

🛡️ Wing Security outlines how enterprises must evolve defenses to protect the modern AI application supply chain. The article explains that rapid AI sprawl, interapplication integrations, and new data exposure vectors create blind spots traditional controls were not built to handle. By extending its SaaS Security Posture Management foundation, Wing Security offers continuous discovery, real-time monitoring, vendor analytics, and adaptive governance to reduce supply chain, data leakage, and compliance risk.

Data Loss Rises Despite Increased Security Spending

🔒 The 2025 Data Security Report from Fortinet and Cybersecurity Insiders finds that data loss is increasing even as organizations shift to programmatic approaches and boost budgets for insider risk and data protection. Legacy DLP tools, designed for perimeter-era environments, lack visibility into employee interactions across SaaS, cloud, and generative AI, and they fail to provide the context needed to separate accidents from real threats. The report urges adoption of behavior-aware, unified platforms—such as FortiDLP integrated with identity and activity telemetry—to turn alerts into actionable risk narratives and reduce costly insider incidents.

How CISOs Can Build Effective AI Governance Programs

🛡️ AI's rapid enterprise adoption requires CISOs to replace inflexible bans with living governance that both protects data and accelerates innovation. The article outlines three practical components: gaining ground truth visibility with AI inventories, AIBOMs and model registries; aligning policies to the organization's speed so governance is executable; and making governance sustainable by provisioning secure tools and rewarding compliant behavior. It highlights SANS guidance and training to help operationalize these approaches.

Quarter of UK and US Firms Hit by Data Poisoning Attacks

🛡️ New IO research reports that 26% of surveyed UK and US organisations have experienced data poisoning, and 37% observe employees using generative AI tools without permission. The third annual State of Information Security Report highlights rising concern around AI-generated phishing, misinformation, deepfakes and shadow AI. Despite the risks, most respondents say they feel prepared and are adopting acceptable use policies to curb unsanctioned tool use.

The Dark Side of Vibe Coding: AI Risks in Production

⚠️ One July morning a startup founder watched a production database vanish after a Replit AI assistant suggested—and a developer executed—a destructive command, underscoring dangers of "vibe coding," where plain-English prompts become runnable code. Experts say this shortcut accelerates prototyping but routinely introduces hardcoded secrets, missing access controls, unsanitized input, and hallucinated dependencies. Organizations should treat AI-generated code like junior developer output, enforce CI/CD guardrails, and require thorough security review before deployment.

Shadow AI Discovery: Visibility, Governance, and Risk

🔍 Employees are driving AI adoption from the ground up, often using unsanctioned tools and personal accounts that bypass corporate controls. Harmonic Security found that 45.4% of sensitive AI interactions come from personal email, underscoring a growing Shadow AI Economy. Rather than broad blocking, security and governance teams should prioritize continuous discovery and an AI asset inventory to apply role- and data-sensitive controls that protect sensitive workflows while enabling productivity.

Five Essential Rules for Safe AI Adoption in Enterprises

🛡️ AI adoption is accelerating in enterprises, but many deployments lack the visibility, controls, and ongoing safeguards needed to manage risk. The article presents five practical rules: continuous AI discovery, contextual risk assessment, strong data protection, access controls aligned with zero trust, and continuous oversight. Together these measures help CISOs enable innovation while reducing exposure to breaches, data loss, and compliance failures.

Cloudflare CASB API Scanning for ChatGPT, Claude, Gemini

🔒 Cloudflare One users can now connect OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini to Cloudflare's API CASB to scan GenAI tenants for misconfigurations, DLP matches, data exposure, and compliance risks without installing endpoint agents. The API CASB provides out-of-band posture and DLP analysis, while Cloudflare Gateway delivers inline prompt controls and Shadow AI identification. Integrations are available in the dashboard or through your account manager.

SASE Best Practices for Securing Generative AI Deployments

🔒 Cloudflare outlines practical steps to secure generative AI adoption using its SASE platform, combining SWG, CASB, Access, DLP, MCP controls and AI infrastructure. The post introduces new AI Security Posture Management (AI‑SPM) features — shadow AI reporting, provider confidence scoring, prompt protection, and API CASB integrations — to improve visibility, risk management, and data protection without blocking innovation. These controls are integrated into a single dashboard to simplify enforcement and protect internal and third‑party LLMs.

Cloudflare Application Confidence Scores for AI Safety

🔒 Cloudflare introduces Application Confidence Scores to help enterprises assess the safety and data protection posture of third-party SaaS and Gen AI applications. Scores, delivered as part of Cloudflare’s AI Security Posture Management, use a transparent, public rubric and automated crawlers combined with human review. Vendors can submit evidence for rescoring, and scores will be applied per account tier to reflect differing controls across plans.

Unmasking Shadow AI: Visibility and Control with Cloudflare

🛡️ This post outlines the rise of Shadow AI—unsanctioned use of public AI services that can leak sensitive data—and presents how Cloudflare One surfaces and governs that activity. The Shadow IT Report classifies AI apps such as ChatGPT, GitHub Copilot, and Leonardo.ai, showing which users, locations, and bandwidth are involved. Under the hood, Gateway collects HTTP traffic and TimescaleDB with materialized views enables long-range analytics and fast queries. Administrators can proxy traffic, enable TLS inspection, set approval statuses, enforce DLP, block or isolate risky AI, and audit activity with Log Explorer.

Cloudflare AI Week 2025: Securing AI, Protecting Content

🔒 Cloudflare this week outlines a multi-pronged plan to help organizations build secure, production-grade AI experiences while protecting original content and infrastructure. The company will roll out controls to detect Shadow AI, enforce approved AI toolchains, and harden models against poisoning or misuse. It is expanding Crawl Control for content owners and enhancing the AI Gateway with caching, observability, and framework integrations to reduce risk and operational cost.

CrowdStrike Named Leader in GigaOm SSPM Radar 2025

🔒 CrowdStrike has been named the only Leader and Outperformer in the 2025 GigaOm Radar for SaaS Security Posture Management (SSPM). The recognition highlights the CrowdStrike Falcon platform's unified, AI-native approach—combining Falcon Shield, identity protection and cloud security—to detect and remediate misconfigurations, identity threats, and unauthorized SaaS access. Falcon Shield's extensive integrations, automated policy responses via Falcon Fusion SOAR, and GenAI-focused controls underpin its market-leading posture and support continuous visibility across human and non-human identities.