AI Explainer: What is Model Context Protocol?

The article "AI Explainer: What is Model Context Protocol?" published on Akamai's blog delves into the emerging concept of Model Context Protocol (MCP) in artificial intelligence. MCP is a framework designed to enhance AI models' understanding and interaction by providing contextual awareness, which is crucial for improving AI decision-making and communication. The blog explains how MCP works by enabling AI systems to share and interpret context data, leading to more accurate and relevant outputs. This protocol is particularly significant in cybersecurity, where AI-driven tools must adapt to dynamic threat landscapes and complex data environments. The article highlights the potential of MCP to revolutionize AI applications across various sectors, including cybersecurity, by fostering better model interoperability and context-sensitive responses. It also discusses the challenges and future prospects of implementing MCP in AI systems, emphasizing the need for standardized protocols and collaborative development. Overall, the blog provides a comprehensive overview of MCP, its importance in advancing AI capabilities, and its implications for enhancing cybersecurity measures through smarter, context-aware AI solutions.

This Cyber News was published on www.akamai.com. Publication date: Thu, 06 Nov 2025 14:31:03 +0000


Cyber News related to AI Explainer: What is Model Context Protocol?

AI Explainer: What is Model Context Protocol? - The article "AI Explainer: What is Model Context Protocol?" published on Akamai's blog delves into the emerging concept of Model Context Protocol (MCP) in artificial intelligence. MCP is a framework designed to enhance AI models' understanding and ...
6 days ago Akamai.com
Best of 2023: Diamond Model of Intrusion Analysis: A Quick Guide - Any intrusion into a network calls for a thorough analysis to give security teams cyber intelligence about different threats and to help thwart similar future attacks. Effective incident analysis has long been held back by uncertainty and high false ...
1 year ago Securityboulevard.com Axiom
How to detect poisoned data in machine learning datasets - Almost anyone can poison a machine learning dataset to alter its behavior and output substantially and permanently. With careful, proactive detection efforts, organizations could retain weeks, months or even years of work they would otherwise use to ...
1 year ago Venturebeat.com
How machine learning helps us hunt threats | Securelist - In this post, we will share our experience hunting for new threats by processing Kaspersky Security Network (KSN) global threat data with ML tools to identify subtle new Indicators of Compromise (IoCs). The model can process and learn from millions ...
1 year ago Securelist.com
Establishing Reward Criteria for Reporting Bugs in AI Products - At Google, we maintain a Vulnerability Reward Program to honor cutting-edge external contributions addressing issues in Google-owned and Alphabet-subsidiary Web properties. To keep up with rapid advances in AI technologies and ensure we're prepared ...
1 year ago Darkreading.com Hunters
Protect AI Unveils Gateway to Secure AI Models - Protect AI today launched a Guardian gateway that enables organizations to enforce security policies to prevent malicious code from executing within an artificial intelligence model. Guardian is based on ModelScan, an open source tool from Protect AI ...
1 year ago Securityboulevard.com
CVE-2019-6332 - A potential security vulnerability has been identified with certain HP InkJet printers. The vulnerability could be exploited to allow cross-site scripting (XSS). Affected products and versions include: HP DeskJet 2600 All-in-One Printer series model ...
5 years ago
Securing AI: Navigating the Complex Landscape of Models, Fine-Tuning, and RAG - It underscores the urgent need for robust security measures and proper monitoring in developing, fine-tuning, and deploying AI models. The emergence of advanced models, like Generative Pre-trained Transformer 4, marks a new era in the AI landscape. ...
1 year ago Feedpress.me
Top LLM vulnerabilities and how to mitigate the associated risk - As large language models become more prevalent, a comprehensive understanding of the LLM threat landscape remains elusive. While the AI threat landscape changes every day, there are a handful of LLM vulnerabilities that we know pose significant risk ...
1 year ago Helpnetsecurity.com
CVE-2016-4863 - The Toshiba FlashAir SD-WD/WC series Class 6 model with firmware version 1.00.04 and later, FlashAir SD-WD/WC series Class 10 model W-02 with firmware version 2.00.02 and later, FlashAir SD-WE series Class 10 model W-03, FlashAir Class 6 model with ...
8 years ago
Addressing Deceptive AI: OpenAI Rival Anthropic Uncovers Difficulties in Correction - There is a possibility that artificial intelligence models can be trained to deceive. According to a new research led by Google-backed AI startup Anthropic, if a model exhibits deceptive behaviour, standard techniques cannot remove the deception and ...
1 year ago Cysecurity.news
CVE-2025-38491 - In the Linux kernel, the following vulnerability has been resolved: ...
3 months ago
The CISO’s Guide to Securing AI and Machine Learning Systems - For Chief Information Security Officers (CISOs), securing AI/ML systems requires expanding security mindsets beyond conventional data protection to encompass model integrity, algorithmic transparency, and ethical use considerations. As AI and machine ...
6 months ago Cybersecuritynews.com Inception
CVE-2019-19118 - Django 2.1 before 2.1.15 and 2.2 before 2.2.8 allows unintended model editing. A Django model admin displaying inline related models, where the user has view-only permissions to a parent model but edit permissions to the inline model, would be ...
5 years ago
Adapting Security to Protect AI/ML Systems - As companies race to integrate AI and machine learning into every facet of their operations, they are also introducing new security and risk challenges. While some of the same risks that apply in traditional IT security continue to be relevant in ...
1 year ago Darkreading.com
JFrog, AWS team up for machine learning in the cloud - Software supply chain provider JFrog is integrating with the Amazon SageMaker cloud-based machine learning platform to incorporate machine learning models into the software development lifecycle. The JFrog platform integration with Amazon SageMaker, ...
1 year ago Infoworld.com
The 7 Core Pillars of a Zero-Trust Architecture - The zero-trust framework is gaining traction in the enterprise due to its security benefits. Organizations are increasingly adopting a zero-trust model in their security programs, replacing the traditional perimeter-based security model. The ...
1 year ago Techtarget.com
DeepSeek-R1 Prompts Exploited to Create Sophisticated Malware & Phishing Pages - Trend Micro researchers noted that these vulnerabilities can be weaponized through carefully crafted prompt attacks, where malicious actors design inputs specifically to achieve objectives like jailbreaking the model, extracting sensitive ...
7 months ago Cybersecuritynews.com
OpenAI tests watermarking for ChatGPT-4o Image Generation model - My sources also told me that OpenAI recently started testing watermarks for images generated using ChatGPT's free account. If you subscribe to ChatGPT Plus, you'll be able to save images without the watermark. In a blog post, OpenAI previously ...
7 months ago Bleepingcomputer.com
What Is Dynamic Host Configuration Protocol (DHCP)? - DHCP, or Dynamic Host Configuration Protocol, is a network protocol that allows devices on a network to be automatically assigned an IP address. DHCP is used extensively in both home and enterprise networks, as it simplifies the process of ...
2 years ago Heimdalsecurity.com
CVE-2022-49018 - In the Linux kernel, the following vulnerability has been resolved: mptcp: fix sleep in atomic at close time Matt reported a splat at msk close time: BUG: sleeping function called from invalid context at net/mptcp/protocol.c:2877 in_atomic(): 1, ...
1 year ago Tenable.com
Improving Software Quality with the OWASP BOM Maturity Model - With his years of work on the CycloneDX standard, Springett understands the issues holding back SBOM usage-particularly when it comes to standardization, dependency tracking, and verification. Not to mention, he also chaired OWASP's Software ...
1 year ago Securityboulevard.com
Vigil: Open-source Security Scanner for LLM models like ChatGPT - An open-source security scanner, developed by Git Hub user Adam Swanda, was released to explore the security of the LLM model. This model is utilized by chat assistants such as ChatGPT. This scanner, which is called 'Vigil', is specifically designed ...
1 year ago Cybersecuritynews.com
Gemini: Google Launches its Most Powerful AI Software Model - Google has recently launched Gemini, its most powerful generative AI software model to date. Since the model is designed in three different sizes, Gemini may be utilized in a variety of settings, including mobile devices and data centres. Google has ...
1 year ago Cysecurity.news

Cyber Trends (last 7 days)