Tag: shadow ai
10 articles
Cybersecurity Awareness Outpaces Resilience
Despite having a high awareness of cyber risks, many organizations are struggling to build operational resilience, with gaps in visibility, capability, priorities, and culture hindering their ability to effectively manage threats. The 2026 Bitdefender Cybersecurity Assessment reveals a concerning disconnect between knowing the risks and taking action to mitigate them.
Shadow AI Exposes Access Control Gaps
The real risk of Shadow AI isn't about employees sharing sensitive info, but about unauthorized AI agents operating within your organization, connected to critical systems, and taking actions that can lead to data breaches and access-control failures. A staggering 65.4% of unused chatbots still have active credentials, leaving a gaping hole in your security.
Verizon DBIR Exposes Growing Browser-Based Threats
Employees are unwittingly putting sensitive data at risk by using AI tools like ChatGPT and Gemini on corporate devices, with 67% accessing these services with personal accounts and 45% using them regularly. This Shadow AI phenomenon is rapidly escalating, with a fourfold year-over-year increase in insider risk.
Shadow AI Exposes 2,000 Vibe-Coded Apps with Sensitive Data
A shocking discovery by Red Access revealed over 2,000 apps with sensitive corporate, operational, or personal data exposed online, leaving countless organizations vulnerable to risk. These apps, found on popular vibe-coding platforms, were often deployed without basic security controls, granting open access to sensitive information.
Autonomous AI Exposes Governance Gaps in Enterprise Security
As autonomous AI revolutionizes enterprise security, it's also revealing alarming governance gaps that can leave organizations in highly regulated environments exposed to unprecedented risks. The rapid adoption of autonomous AI is creating a trust gap, where innovation outpaces control, and novel risks to visibility, control, and regulatory compliance are emerging.
Autonomous AI Exposes New Risks in Enterprise Environments
As autonomous AI weaves itself into the fabric of enterprise operations, it brings a new wave of complexity and unpredictability, testing the limits of infrastructure and IT teams like never before. The result? A whole new landscape of operational and infrastructure risks that threaten to upend traditional security and recovery models.
Enterprises Lag in Securing Autonomous AI Agents
Most organizations are struggling to keep pace with the rapid evolution of autonomous AI agents, which can introduce new risks and behaviors at machine speed. As these agents increasingly handle sensitive data, enterprises face a pressing need to update their security strategies and tools to mitigate the emerging threats of shadow AI and over-permissioned agents.
AI-BOMs Emerge to Secure Enterprise AI Supply Chains
Imagine biting into a mysterious birthday cake without knowing its ingredients or who baked it - that's what it's like for enterprises trying to secure their AI supply chains without visibility into the components used to build their AI systems. Traditional software bills of materials just aren't cutting it in this new landscape.
Browser Extensions Emerge as Unchecked AI Security Risk
Did you know that the biggest AI security risk to your organization might be hiding in plain sight - in the browser extensions used by every employee, quietly evading your existing security protections? A recent report from LayerX reveals the shocking truth about this largely overlooked threat.
Shadow AI Emerges as Unseen Threat in Enterprise Security
As AI assistants and automation services increasingly seep into everyday use, employers are faced with a daunting question: are productivity gains worth the risk of losing control? Employees are quietly adopting unsanctioned AI tools, often blurring the lines between efficiency and security.