Beyond OpenClaw: How to govern agentic AI in the enterprise - Free Webinar 26th February 2026
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The OpenClaw incident proves "Shadow Agents" are already running on enterprise networks, installed by high-performing employees to automate grunt work. This post analyzes why traditional security stacks fail to detect these autonomous tools
AI security and API security run alongside each other, much like a double rainbow. Each one contains a full spectrum of security requirements that work in tandem with one another.
AI is revolutionizing industries at an unprecedented pace. But as organizations integrate AI into their workflows, they are encountering serious security risks. In fact, 97% of organizations using generative AI have reported security incidents. Traditional security tools are failing to keep up, leaving companies vulnerable to data breaches, adversarial attacks, and compliance risks.
We’re only a month into the new year, and already, the internet is buzzing with news about AI. Most recently, China’s AI platform DeepSeek has been making whale-sized waves in the cyberworld. But a week after the launch of its new model on January 20th, a tsunami-sized wave hit the system.
In 2025, AI is the biggest advancement in cybersecurity and the talk of all tech-sperts. But as AI continues to develop, we are seeing a surge in not only the benefits, but also the risks of artificial intelligence.
GDPR demands transparency, accountability, and user control over personal data. However, many organizations are inadvertently falling short of these obligations due to the unmonitored integration of AI tools—often via APIs—into their systems. The result? Compliance gaps that could lead to fines, operational chaos, and reputational damage.
Many security teams are still not aware of all the APIs in their landscape. Read the latest blog from FireTail to learn about the importance of API discovery and how you can discover all the APIs in your landscape today.
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