Corporate Cyber Security

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Papadakis K.-Cyber-Information Warfare Analyst & Cyber Defense/Security Consultant-Hellenic MoD

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Scanned by CamScanner Lr1 I n a h i g h l y c o m p e t i t i v e g l o b a l m a r k e t p l a c e , m o s t c o m p a n i e s r r i u s t t r v t o h o l d d o w n t h e c o s t o f g e t t i n g g o o d s a n d s e r v i c e s t o r n a r ke t w h i l e s t i l l e n s u D n g q u a l i t Y , o n t i m e d e l i v e r y , a n d c u s t o m e r sat i s f t i o n w o r l d c l a s s c o m p a n i e s c o n t i n u a l l y b e n c h m a r k , i n t e r T i a l ly a n d ext ernal l y, t o d i s c o v e r i n n o v a t i v e a n d p r o v e n p r a c t i c e s t h a t c a i l o f>e r b e t t e r r e s u l t s Pr o m i n e n t a m o n g t h o s e p r a c t i c e s a r e e ff e c l i v e m e a n s o f c o n t r a c t m a n a g e m e n t s i m i l a r l v , gover nment s w o r l d w i d e a r e s e e k i n g w a y s t o p r o v i de m a r e t o t h e i r c o n s t i t u e n t s w i t h l e s s L i k e t h e U n i t e d St a t e s , m a n y c o u n t r i e s a r e r e c o g n i z i n g t h e fi s c a l a n d q u a l i t y b e n e fi t s t o be o b t a i n e d t h r o u g h t h e j u d i c i o u s t r a n s f e r o f c e r t a i n g o v e r n me e m p l o y e e p e r f o r m e d f u n c t i o n s t o t h e p r i v a t e s e c t o r I n c o n ju n c ti o n , gover nment s a r e r e e x a m i n i n g t h e i r o w n , o f t e n h i g h l y r e g u la t e d , p r o c e s s e s fo r b u y i n g a n d s e l l i n g Se e k i n g t o f r e e t h o s e p r o c e s s e s f r o m u n n e c e s s a r y c o n s t r a i n t s , t h e y a r e l o o k i n g t o t h e p r i v a t e s e c t o r f o r s t r e a m l i n e d c o n t r a c t m a n a g e m e n t m o d e l s T u h e l p o r g a n i z a t i o n s i n p u r s u i n g t h e s e g o a l s , t h i s c h a p t e r e x p l a i n s s o m e c o m m o n m i s c o n c e p t i o n s a b o u t g l o b a l c o n t r a c t m a n a g e m e n t a n d p r o v i d e s a s u m m a r y o f 15 o f t h e m o s t i mp t a n t b e s t p r a c t i c e s CO RR ECT I N G M I SCO N C EPT IO N S M i s o n ( ¬Pt i o n C o m m e r c i a l c o n t r a c t i n g d i f f e r s r a d i c a l l y fr o m g o v e r n m e n t c o n t r a c t i n g s o m u c h s o t h a t p a r a l l e l s c a n n o t b e d r a w n Reat i T h e c o m m e r c i a l a n d gover nment c o n t r a c t i n g p r o c e ss e s s h a r e m a n y p h a s e s , f u n c t i o n s , p r o c e d u r e s , a n d c h a l l e n ge s M a n y d i f f e r e n c e s a r e r a p i d l y d i m i n i s h i n g , s o e v e n gr e a t e r s i m i l a r i t i e s w i l l e m e r g e i n t h e c o m i n g y e a r s M is o n epl i o n T h e U n i f o r m C o m m e r c i a l C o d e i s a c l e a r , Pr e c i s e d o c u m e n t t h a t u n i f o r m l y a n d s p e c i fi c a l l y go v e .

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This document provides information about the upcoming football season for Niles West High School. It welcomes fans to another action-packed season and expresses pride in the young men representing the school. The athletic director hopes for continued fan support and encourages joining the booster club. It lists important upcoming games and welcomes the class of 1987. The document concludes by wishing everyone a happy new year.

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Pedro and Marilí were watching a parade in the woods when a cyclist fell. They went towards La Margarita and saw the red car they had seen before, which motivated them to enter an empty house. They went in through the kitchen disappointed not to find the monster. The children then went to the crossing and had a race, where the monster grabbed Marilí and took her. Pedro desperately went for help but fell in a gully, getting hurt. After recovering, he continued towards the woods as the whole school was worried about one of their own. When Marilí's parents learned what happened, they immediately went to the authorities, and then everyone went to kill the monster and rescue Marilí

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Russia is conducting information operations alongside its conventional military operations in the war with Ukraine. These operations include psychological operations, cyber warfare, and disinformation campaigns using social media, telecommunications, mass media, and the internet. Russia views cyberspace as part of the broader information environment that must be controlled to gain information superiority. It has reorganized its cyber units into information operations forces capable of supporting information activities through cyberspace, and incorporated hacktivist groups to augment its technical capabilities and conduct influence operations. Russia's operations involve initial network penetration, data-deleting malware attacks, DDoS attacks, website defacement, and disinformation targeting Russian, Ukrainian, European, and American audiences.

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Monitoring and Managing Anomaly Detection on OpenShift Overview Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices. Key Topics Covered 1. Introduction to Anomaly Detection - Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems. 2. Understanding Edge (IoT) - Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source. 3. What is ArgoCD? - Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices. 4. Deployment Using ArgoCD for Edge Devices - Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD. 5. Introduction to Apache Kafka and S3 - Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions. 6. Viewing Kafka Messages in the Data Lake - Learn how to view and analyze Kafka messages stored in a data lake for better insights. 7. What is Prometheus? - Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices. 8. Monitoring Application Metrics with Prometheus - Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system. 9. What is Camel K? - Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes. 10. Configuring Camel K Integrations for Data Pipelines - Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow. 11. What is a Jupyter Notebook? - Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text. 12. Jupyter Notebooks with Code Examples - Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.

Taking AI to the Next Level in Manufacturing.pdf

ssuserfac0301

Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as: 1. How quickly AI is being implemented in manufacturing. 2. Which barriers stand in the way of AI adoption. 3. How data quality and governance form the backbone of AI. 4. Organizational processes and structures that may inhibit effective AI adoption. 6. Ideas and approaches to help build your organization's AI strategy.

Main news related to the CCS TSI 2023 (2023/1695)

Jakub Marek

An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers. The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 . The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .

High performance Serverless Java on AWS- GoTo Amsterdam 2024

Vadym Kazulkin

Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.

Skybuffer SAM4U tool for SAP license adoption

Tatiana Kojar

Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool. SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.

Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...

saastr

inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill

LizaNolte

HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable. In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed: Key Takeaways: Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement. Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers. Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.

Dandelion Hashtable: beyond billion requests per second on a commodity server

Antonios Katsarakis

This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).