Prevent data exposure in AI
Block sensitive data leaks (like PII and source code) and apply intent-based guardrails to detect and mitigate risky prompts before they reach the model.
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
Manage security posture of GenAI apps
See how Cloudflare’s API-based CASB integrates with tools like ChatGPT, Claude, and Gemini to detect and mitigate risks of misconfigurations and data exposure.
GLM 4.7 vs. The Giants: Is This the New King of AI Coding?
Can a lesser-known model compete with the likes of OpenAI, Google, and Anthropic? In this video, we put Z.ai’s GLM 4.7 to the ultimate test. We task it with building a production-ready, secure Node.js note-taking application from a single prompt to see if its code quality and security stand up to the big name foundational models.
Data Privacy: How Organizations Protect the Workplace From AI Threats
Data privacy in the workplace is not just compliance. It is how an organization protects employees, builds trust, and reduces business risk. Employees handle most workplace data, which makes them a major target for AI-powered threats like deepfakes and business email compromise (BEC). The best way to protect data is a mix of practical employee habits, realistic training, and strong controls like least privilege access, MFA, monitoring, and email authentication.
Beyond The App Stack: Human capital, AI ambitions
If you're more flexible, you're more modern with your technology, the experiment... will be faster." - Lior Gross, CTO at Caliente.mx. Old infrastructure is too costly for AI experiments.
MiniMax M2.1 Created This App, But Does It Work?
MiniMax M2.1 Created This App, But Does It Work?
How to Protect Your AI Agents from Invisible Risks? | IdentityShield '26
AI agents power innovation but face hidden hacks, leaks, and tricks. This session uncovers 7 key risks, like cyberattacks, insider threats, bias abuse, and rogue actions, with best practices and real demo videos. Speaker: Vipika Kotangale Technical Content Writer, miniOrange Pune, India.
How to choose the right AI standard: A 7-point guide
AI adoption has accelerated across sectors today as the technology becomes easier to access and deploy. Most organizations embed it in at least one aspect of their daily operations, but doing so has also introduced new risks, such as model bias and outcome drift. There’s a growing gap between AI use and responsible oversight, and keeping up demonstrable AI governance practices is a challenge.