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All news with #saas security tag

59 articles · page 2 of 3

Shadow AI: The Invisible Enterprise Risk to Govern

🔍 Shadow AI describes the unsanctioned use of generative AI by employees, which is growing faster than most organizations can monitor or control. When staff submit internal documents, customer data, or source code to public GenAI services, organizations frequently lack visibility into how that data is processed, stored, or reused. Traditional security architectures and fragmented point solutions cannot correlate the signals needed to assess risk end to end. Fortinet recommends combining network visibility (FortiOS and FortiGuard Labs), endpoint enforcement (FortiDLP), and cloud-delivered policy (FortiSASE) to detect, govern, and control shadow AI usage.
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Block the Prompt, Not the Work: Securing Sessions Now

🔒 Enterprise security must stop reflexively blocking tools and start governing browser sessions. The article argues that legacy controls—kernel‑hooking agents, SSL inspection and URL blocks—create a "Workaround Economy" where users move sensitive data to unmanaged apps and extensions. It urges a shift to session‑level governance with prompt‑level DLP, extension risk scoring, and agentless clipboard/upload controls to enable productivity while reducing blind spots.
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Five Browser and AI Security Questions for CxOs to Consider

🔒 Work has shifted into the browser, creating a broad visibility and control gap as employees access SaaS, collaborate with GenAI and interact across unmanaged devices. Legacy perimeter and endpoint tools cannot see last-mile actions such as sensitive uploads to unsanctioned models, malicious extensions, or agentic browser behaviors that reassemble malware in memory. Prisma Browser restores control with context-aware policies, embedded Enterprise DLP, continuous page inspection and governance for both human and agent activity, enabling safe AI use without blocking innovation.
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Falcon Data Security: Protecting Data Where It Moves

🔒 CrowdStrike introduces Falcon Data Security, a unified solution that discovers, classifies, and defends sensitive information across endpoints, browsers, SaaS, cloud services, and GenAI workflows. The offering uses a shared classification engine for consistent identification of PCI, PII, PHI, and other sensitive types, and applies AI to reduce manual tagging. Real-time visibility into data in motion — including egress context and runtime cloud flows via eBPF telemetry — lets teams stop risky transfers at the moment they occur. Natively integrated with the Falcon platform, it correlates data events with device, user, and adversary telemetry to prioritize and automate response.
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Reco Adds AI Agent Security to Tackle Agent Sprawl

🔒 Reco has introduced Reco AI Agent Security, a capability designed to give enterprises visibility and control over autonomous AI agents operating across SaaS environments. The tool detects agent activity beyond traditional OAuth discovery by analyzing API call patterns, service-account correlations, and automation workflow signatures in platforms like Microsoft Copilot, ChatGPT, Zapier and n8n. It consolidates agent discovery, risk analysis, and governance into Reco's existing SaaS security platform.
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Shadow AI Is Everywhere — Find and Secure It Today

🔍 Nudge Security provides continuous discovery, monitoring, and governance for shadow AI, delivering a Day One inventory of every AI app and account introduced into an organization. A lightweight IdP integration analyzes machine-generated SaaS emails (without storing content) to detect account creation, password changes, and security setting updates. An optional browser extension monitors AI conversations, flags sensitive data and file uploads, visualizes data flows, and issues real-time nudges and configurable alerts to guide users toward approved tools and enforce acceptable use.
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Protecting SaaS from Bot Attacks with SafeLine WAF

🔒 SafeLine is presented as a self-hosted web application firewall that inspects every HTTP request and emphasizes behavioral and semantic analysis rather than simple signature matching. It combines a Semantic Analysis Engine, anti-bot challenges, rate limiting and identity controls to reduce fake sign-ups, credential stuffing, scraping and abusive automation. Deployable as a reverse proxy, it gives SaaS teams control over logs, latency and compliance while providing a dashboard for tuning and visibility.
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AWS Marketplace Adds Concurrent Agreements for SaaS

🔁 AWS Marketplace now supports Concurrent Agreements for SaaS and Professional Services products, enabling multiple active purchases of the same product within a single AWS account. The change removes the prior one-agreement-per-product limitation and lets different business units procure independently with separate terms and pricing. Buyers gain flexibility for mid-term expansions and repeat purchases, while sellers can close multi-unit deals immediately and avoid operational workarounds.
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South Korea Fines LVMH Brands $25M Over Data Breach

🔒 South Korea's Personal Information Protection Commission fined Louis Vuitton, Christian Dior Couture, and Tiffany a combined $25 million after cloud-based customer management systems were compromised, exposing data for more than 5.5 million customers. Investigators found an employee device infected with malware at Louis Vuitton and successful phishing and voice-phishing attacks at Dior and Tiffany that granted attackers access to the SaaS platform. Regulators cited failures to enforce IP-based access controls, deploy strong authentication, restrict bulk downloads, and monitor access logs, and penalized late breach notification. The PIPC emphasized that using a SaaS provider does not relieve companies of responsibility for protecting client data.
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PIPC Fines Three Luxury Brands KRW36B for SaaS Failures

🔒 South Korea’s Personal Information Protection Commission (PIPC) fined the local subsidiaries of Louis Vuitton, Christian Dior Couture and Tiffany a combined KRW 36.033 billion plus KRW 10.8 million in additional penalties for failures securing customer data processed via a SaaS platform. The regulator found critical lapses — absent IP‑based access restrictions, weak or missing strong authentication, inadequate controls over bulk exports and insufficient log review — that allowed credential theft and social‑engineering attacks to expose personal information. The PIPC stressed that SaaS environments qualify as personal information processing systems under Korean law, placing responsibility squarely on data controllers, and ordered the firms to publicly disclose the enforcement actions.
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Buyer’s Guide: Governing Real-Time AI Usage Control

🔒 The Buyer’s Guide for AI Usage Control warns that AI adoption has far outpaced visibility and governance, producing a widening gap as AI is embedded across SaaS, browsers, copilots, extensions and shadow tools. It reframes the problem as an interaction issue rather than solely a data or app problem, and positions AI Usage Control (AUC) as a distinct governance layer that must discover and enforce policy at the moment of interaction. The guide outlines four operational stages—Discovery, Interaction Awareness, Identity & Context, and Real-Time Control—and stresses that architectural fit, operational overhead, and user experience are decisive factors when selecting a solution.
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Moltbook Misconfiguration Exposes User Data and API

🔓 Security researchers at Wiz discovered a public Supabase API key in Moltbook’s client-side JavaScript that granted unauthenticated read/write access to the production database. The misconfiguration—absence of Row Level Security (RLS) policies—exposed around 1.5 million agent tokens, roughly 30,000 email addresses and thousands of private messages. With write privileges an attacker could impersonate any agent, inject malicious content or prompt-injection payloads, and deface the site. Moltbook’s developer has since remediated the issue after multiple rounds of fixes with Wiz.
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64% of Third-Party Apps Access Sensitive Data in 2026

🔒 New 2026 analysis of 4,700 leading websites finds 64% of third-party applications access sensitive data without demonstrable business justification, rising from 51% in 2024. The report identifies recurring causes such as over-permissioned scripts, shadow deployments via tag managers, and persistent trackers. Specific tools flagged include Google Tag Manager, Shopify apps, and the Facebook Pixel, while government and education sites show marked increases in compromise. The study cautions that governance gaps and limited mitigation adoption leave organizations exposed.
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Dynamic AI-SaaS Security: Guardrails as Copilots Scale

🔒 Within the past year AI copilots and agents have been embedded across major SaaS like Zoom, Slack, Microsoft 365, Salesforce, and ServiceNow, creating dynamic cross-app data flows that traditional governance struggles to monitor. A dynamic AI-SaaS security layer functions as an adaptive guardrail over OAuth grants and integrations, logging prompts and file access, detecting permission drift in real time, and blocking risky actions. Platforms such as Reco aim to deliver continuous visibility, end-to-end auditability, and automated policy enforcement so organizations can adopt copilots without losing control.
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Cloud Access Security Brokers: CASB Buyer's Guide Overview

☁️ Cloud access security brokers (CASBs) act as gatekeepers between enterprise endpoints and cloud services, offering visibility into user activity, enforcement of access policies, and protection of sensitive data across SaaS, IaaS, and cloud-native apps. Deployments may be forward or reverse proxy, or API-driven, and vendors increasingly fold in DLP, SWG, CSPM, and UEBA capabilities. Key selection factors include supported deployment modes, agent strategy, application/API coverage, and alignment with an SSE or SASE roadmap.
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Securing GenAI in the Browser: Policy and Controls

🔒 The article argues that the browser is now the primary interface for enterprise GenAI and outlines a practical security model combining policy, isolation, and precision data controls. It recommends categorizing GenAI services into sanctioned and public tools, enforcing SSO for corporate identities, and preventing cross‑account leakage. The piece highlights the risks of prompt copy/paste, file uploads, and extensions, and advises per‑site/session controls, telemetry, and a pragmatic 30‑day Secure Enterprise Browser (SEB) rollout to enable safe, productive use.
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Microsoft Teams adds alerts for suspicious external traffic

🔔 Microsoft is introducing an External Domains Anomalies Report for Microsoft Teams to analyze messaging trends and surface suspicious interactions with external domains. The tool will flag sharp spikes in activity, communications with new domains, and abnormal engagement patterns to give administrators early visibility into potential data-sharing or security risks. Microsoft plans a worldwide rollout to standard multi-tenant web environments in February 2026, though licensing implications remain unspecified. The change complements other Teams protections such as malicious-link warnings, false-positive reporting, meeting screen-capture blocking, and desktop performance improvements.
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Google Named Leader in IDC Hyperscaler Marketplaces 2025

🚀 Google is recognized as a Leader in the 2025 IDC MarketScape for Worldwide Hyperscaler Marketplaces. The assessment highlights Google Cloud Marketplace for its integrated portfolio of SaaS, AI agents, foundational models, datasets, and services validated for enterprise readiness. The platform emphasizes AI innovation with a dedicated AI agent category, deep integration with Vertex AI and deployment via Gemini Enterprise. It also offers partner validation, enterprise governance tools, AI-driven discovery, flexible private offer buying, and global transaction support.
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Shadow IT and Shadow AI: Risks Across Every Industry

🔍 Shadow IT — any software, hardware, or resource introduced without formal IT, procurement, or compliance approval — is now pervasive and evolving into Shadow AI, where unsanctioned generative AI tools expand the attack surface. The article outlines how these practices drive operational, security, and regulatory risk, citing IBM’s 2025 breach-cost data and industry examples in healthcare, finance, airlines, insurance, and utilities. It recommends shifting from elimination to smarter control by improving continuous visibility through real‑time network analysis and vendor integrations that turn hidden activity into actionable intelligence.
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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.
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