IP Based Security Filter in Mule
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The IP Based Security Filter in Mule evaluates message properties like IP address and creation timestamp against configured parameters. If the IP address falls outside the allowed range or the timestamp shows the message is older than expected, Mule will not process the message. It can filter by specific IP, an IP range, or a CIDR IP range to control which messages are allowed through the flow.
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Threat Analysis on Win10 IoT Core and Recommaended Security Measures by Naohi...
Threat Analysis on Win10 IoT Core and Recommaended Security Measures by Naohi...
Blue Medora IBM Tivoli Monitoring (ITM) Agent for Ping Probe
Blue Medora IBM Tivoli Monitoring (ITM) Agent for Ping Probe
Lightning Talk: MATH is Hard : TTL Index Configuration and Considerations
Lightning Talk: MATH is Hard : TTL Index Configuration and Considerations
Monitoring in Big Data Platform - Albert Lewandowski, GetInData
Monitoring in Big Data Platform - Albert Lewandowski, GetInData
More from Sunil Kumar
Distributed Locking in Mule
Mule provides distributed locking capabilities through a lock factory that custom components can access programmatically to synchronize access to resources across a server cluster. With Mule's locks, code can be deployed to a single server or cluster without issues coordinating shared resources. Mule's locking system offers a simple API for components to use shared locks.
Parallel processing for splitter in mule esb
The Splitter Flow Control splits messages into fragments and sends them one by one to the next processor. This document describes encapsulating the Splitter and Aggregator within virtual machine endpoints to process fragments in parallel threads. Both endpoints are wrapped in a Request-Reply component to wait for asynchronous processes to complete and return the combined response.
Start stop mule flow using java
This document discusses starting and stopping Mule flows using Java. It describes using the MuleContext and Callable interface to control the lifecycle of flows. The document shows how to get a flow object from the MuleContext registry and then use it to start or stop the flow. It provides an example of a Java component that implements Callable to start a flow that is initially stopped on application deployment.
Find Number of VM message in Mule
This document discusses how to find the number of VM messages using a Java component in Mule. It uses an HTTP inbound endpoint, stores messages in a VM queue named "sunil", and implements a Callable Java class that injects the MuleContext and uses it to get the size of the VM queue.
Vm file store
The document discusses using a VM file store to persist messages to disk so they are maintained even if Mule is restarted. It describes configuring a one-way VM with a file queue store to persist outbound payloads with a max of 100 messages. For request-response queues, no queueing occurs and persistence only applies to one-way VM queues where messages are stored on disk under a specific file path.
Custom transformer and annotation
The document discusses how to create custom transformers in Mule by writing Java code. It provides examples of creating a Student POJO class, a custom transformer that extends AbstractMessageTransformer to transform the payload, and using annotations like @ContainsTransformerMethods and @Transformer to mark a class and methods as custom transformers available in Mule. The custom transformers allow incorporating custom Java operations into Mule flows to transform data as needed beyond the standard components.
Custom processor
We can create custom processors in Mule that implement the MessageProcessor interface and override the process method. This allows processing of Mule events by passing them through custom classes that can access and modify the event payload according to business logic. The custom processor is added to the flow using the custom-processor element.
Signature Security mule
Mule adds digital signatures to messages to verify sender authenticity. It supports JCE and XML signing strategies. To sign data, Mule converts the payload to bytes, applies the signature, and stores the result. Verification compares a provided signature to the signed content. Configuration specifies the signer and signing algorithm and key. Flows demonstrate signing data on request and verifying a signature.
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Building RAG with self-deployed Milvus vector database and Snowpark Container...
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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* Step-by-step implementation guide
* Live demos with code snippets
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#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
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TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
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Full-RAG: A modern architecture for hyper-personalization
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
How to Get CNIC Information System with Paksim Ga.pptx
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Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
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GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
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IP Based Security Filter in Mule
- 1. IP Based Security Filter Generally positioned immediately after an inbound connector in a Mule flow, the Anypoint Filter Processorevaluates two message properties, and rejects the message if the values fall outside of its configured parameters. The properties that are evaluated are: •IP address – If the IP address of a message falls outside the filter’s configured IP address range, Mule does not process the message (see image below). •Creation timestamps — Where the message’s creation date and time fall outside the filter’s configured acceptable lifespan (that is, the message is older than expected), Mule does not process the message (see image below).
- 2. IP Based Security Filter - Flow
- 3. IP Based Security Filter– Flow Contd… • Use HTTP Connector to receive request • Filter by ip – Examples: 192.168.1.10 (To allow only the IP address 192.168.1.10.) 192.168.1.* (To allow the IP address range from 1.0 to 1.254.) (192.168.1.123 | 134.3.1.40) (To allow only the IP addresses 192.168.1.123 and 134.3.1.40.) • Filter by ip range – Examples (Net: 192.168.1.0,Mask: 255.255.255.0 ) • Filter by ip range cidr – Examples (Cidr: 192.168.1.0/24)
- 4. IP Based Security Filter - XML