Frequently Asked Questions About Model Context Protocol (MCP) and Integrating with AI for Agentic Applications
The emergence of Model Context Protocol for AI is gaining significant interest due to its standardization of connecting external data sources to large language models (LLMs). While these updates are good news for AI developers, they raise some security concerns. In this blog we address FAQs about…
Cybersecurity Snapshot: SANS Recommends Six Controls To Secure AI Systems, While NCSC Warns About Outdated API Security Methods
Check out the security controls that SANS Institute says are essential for protecting your AI systems. Plus, the U.K. NCSC urges organizations to adopt newer API security practices. In addition, CISA and other cyber agencies warn that attackers are using “fast flux” techniques to conceal their…
Cybersecurity Snapshot: NIST Details Attacks Against AI, Recommends Defenses, While ETSI Issues Quantum-Resistant Crypto Standard
Check out NIST’s comprehensive taxonomy of cyberattacks against AI systems, along with mitigation recommendations. Plus, organizations have another cryptographic algorithm for protecting data against future quantum attacks. And get the latest on the IngressNightmare vulnerabilities, and on cyber…
Who's Afraid of AI Risk in Cloud Environments?
The Tenable Cloud AI Risk Report 2025 reveals that 70% of AI cloud workloads have at least one unremediated critical vulnerability — and that AI developer services are plagued by risky permissions defaults. Find out what to know as your organization ramps up its AI game.
Cybersecurity Snapshot: Tenable Highlights Risks of AI Use in the Cloud, as UK’s NCSC Offers Tips for Post-Quantum Cryptography Adoption
Check out key findings and insights from the “Tenable Cloud AI Risk Report 2025.” Plus, get fresh guidance on how to transition to quantum-resistant cryptography. In addition, find out how AI is radically transforming cyber crime. And get the latest on open source software security; cyber scams;…
DeepSeek Deep Dive: Creating Malware, Including Keyloggers and Ransomware
Tenable Research examines DeepSeek R1 and its capability to develop malware, such as a keylogger and ransomware. We found it provides a useful starting point, but requires additional prompting and debugging.
Frequently Asked Questions About DeepSeek Large Language Model (LLM)
The open-source LLM known as DeepSeek has attracted much attention in recent weeks with the release of DeepSeek V3 and DeepSeek R1, and in this blog, The Tenable Security Response Team answers some of the frequently asked questions (FAQ) about it.
Tenable Announces Integration with OpenAI’s ChatGPT Enterprise Compliance API
From understanding and governing how your employees are using AI to continuously maintaining its right configurations and detecting security incidents — you need to protect your Enterprise AI. Here’s how Tenable can help.
What You Must Know About the OWASP Top 10 for LLM Applications 2025 update
As GenAI becomes a vital part of business operations, the risks it brings are evolving just as fast. Here are four key takeaways from the latest OWASP LLM guidance.
Cybersecurity Snapshot: AI Security Roundup: Best Practices, Research and Insights
In this special edition, we’ve selected the most-read Cybersecurity Snapshot items about AI security this year. ICYMI the first time around, check out this roundup of data points, tips and trends about secure AI deployment; shadow AI; AI threat detection; AI risks; AI governance; AI cybersecurity…
Cybersecurity Snapshot: Prompt Injection and Data Disclosure Top OWASP’s List of Cyber Risks for GenAI LLM Apps
Don’t miss OWASP’s update to its “Top 10 Risks for LLMs” list. Plus, the ranking of the most harmful software weaknesses is out. Meanwhile, critical infrastructure orgs have a new framework for using AI securely. And get the latest on the BianLian ransomware gang and on the challenges of protecting…
Rafforza la postura di sicurezza del cloud proteggendo i dati e le risorse di intelligenza artificiale nel cloud
Scopri come la gestione della postura della sicurezza dei dati (DSPM) e la gestione della postura della sicurezza dell'IA (AI-SPM) possono contribuire ad affrontare le principali sfide della sicurezza del cloud.