Combating Insider Threats – Protecting Your Agency from the Inside Out
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Whether they realize it or not, all enterprises have valuable data to protect. Credit card information, trade secrets, and patient data, for example, are all prime targets for cyber criminals. You can reduce risk to your sensitive data through the use of compliance/segmentation monitoring. But what happens when malicious insiders or external attackers bypass these controls? Join Lancope’s Consulting Security Architect, Charles Herring, to learn how network behavioral anomaly detection (NBAD) and deep visibility through NetFlow can be used to quickly alert administrators to these violations. Discover how to detect anomalies such as data hoarding and data loss to more effectively safeguard your crown jewels.
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A common theme in data breach investigations is the deficit between the time it takes an attacker to compromise a system and the time it takes for the defender to detect the attack. In many cases, victim organizations do not know they have been breached for weeks or months after the initial compromise, while attackers can gain access in a matter of minutes or hours.
The StealthWatch® System can drastically reduce the time to identify threats, giving security personnel a window of opportunity to mitigate an attack before valuable data is lost. This webinar will cover how StealthWatch quickly detects a variety of malicious activity, using threat information from the Verizon 2015 Data Breach Investigations Report as a backdrop.
Participants will learn how StealthWatch can quickly detect:
- Crimeware
- Insider threats
- Point-of-sale (POS) intrusions
- Cyber-espionage
TakeDownCon Rocket City: “White Hat Anonymity”: Current challenges security r...
This document discusses the challenges security researchers face when conducting open-source intelligence (OSINT) research anonymously. It outlines anonymity challenges like security policies prohibiting VPNs and TOR, and a lack of funds for secure anonymous channels. It also discusses challenges obtaining valid information from large datasets and sharing intelligence due to policy differences. The document recommends tools for anonymous OSINT like Whonix and Tails virtual machines, and describes sources like search engines, social media, paste sites and intelligence reports. It emphasizes practicing intelligence in depth using multiple sources.
Cybersecurity Basics - Aravindr.com
The Presentation is about the Basic Introduction to Cybersecurity that talks about introduction and what is security means. Also the presentation talks about CIA Triad i.e confidentiality, integrity and availability
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Using SurfWatch Labs' Threat Intelligence to Understand Dark Web Threats
Using SurfWatch Labs' Threat Intelligence to Understand Dark Web Threats
Extending Network Visibility: Down to the Endpoint
Extending Network Visibility: Down to the Endpoint
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Cyber Threat Intelligence: What do we Want? The Incident Response and Technol...
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The Cybercriminal Underground: Understanding and categorising criminal market...
The Cybercriminal Underground: Understanding and categorising criminal market...
The Cybercriminal Underground: Understanding and categorising criminal market...
NTXISSACSC4 - Ransomware: History Analysis & Mitigation
NTXISSACSC4 - Ransomware: History Analysis & Mitigation
Detecting Threats: A Look at the Verizon DBIR and StealthWatch
Detecting Threats: A Look at the Verizon DBIR and StealthWatch
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TakeDownCon Rocket City: “White Hat Anonymity”: Current challenges security r...
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Network Security and Visibility through NetFlow
With the rise of disruptive forces such as cloud computing and mobile technology, the enterprise network has become larger and more complex than ever before. Meanwhile, sophisticated cyber-attackers are taking advantage of the expanded attack surface to gain access to internal networks and steal sensitive data.
Perimeter security is no longer enough to keep threat actors out, and organizations need to be able to detect and mitigate threats operating inside the network. NetFlow, a context-rich and common source of network traffic metadata, can be utilized for heightened visibility to identify attackers and accelerate incident response.
Join Richard Laval to discuss the security applications of NetFlow using StealthWatch. This session will cover:
- An overview of NetFlow, what it is, how it works, and how it benefits security
- Design, deployment, and operational best practices for NetFlow security monitoring
- How to best utilize NetFlow and identity services for security telemetry
- How to investigate and identify threats using statistical analysis of NetFlow telemetry
Defcon 22-aaron-bayles-alxrogan-protecting-scada-dc101
This document summarizes a presentation on protecting industrial control systems (ICS) and SCADA networks. It discusses challenges with ICS including legacy equipment, long lifecycles, limited space and power, and life safety dependencies. It recommends understanding network flows, using the Purdue model for segmentation, and controlling removable media and configurations. Logging and disaster recovery are also important. While some enterprise IT concepts apply, ICS has differences in patching, applications, and dependencies on services. Remote access requires security, and training blends information security with ICS sensitivities.
SCADA Security: The Five Stages of Cyber Grief
The document summarizes the five stages of grief experienced by organizations when they realize their critical infrastructure systems are connected to the internet and vulnerable to cyber attacks: denial, anger, bargaining, depression, and acceptance. It provides examples to illustrate why each stage occurs, such as discoveries of thousands of exposed SCADA and ICS devices online using tools like SHODAN, high-profile attacks like Stuxnet targeting critical infrastructure systems, and challenges of keeping outdated systems patched against emerging threats. The document argues organizations must ultimately accept the interconnected nature of systems and find new ways to design and manage critical infrastructure that are more secure and resilient to cyber attacks.
CSIRS ICS BCS 2.2
This document summarizes a presentation on cyber security in real-time systems. It discusses threats to industrial control systems and SCADA systems, and the differences between traditional IT and industrial control system cultures. It provides examples of attacks on industrial control systems and poor monitoring of SCADA systems. It suggests that security operations centers may provide common ground between IT and ICS. Finally, it discusses recent media reports relating to hacking of rail signaling systems and aircraft systems.
The Library of Sparta
On today's increasingly militarized Internet, companies, non-profits, activists, and individual hackers are forced to melee with nation-state class adversaries. Just as one should never bring a knife to a gunfight, a network defender should not rely on tired maxims such as “perimeter defense” and “defense in depth”. Today’s adversaries are well past that. This webinar provides:
- Key insights into what we call the Library of Sparta - the collective written expertise codified into military doctrine. Hidden in plain sight, vast free libraries contain the time-tested wisdom of combat at the tactical, operational, and strategic levels.
- Better understanding on how adversaries will target your organization, and it will help you to employ military processes and strategies in your defensive operations.
- Provide you with new approaches and examples about how to translate and employ doctrinal concepts in your current operations.
So You Want a Threat Intelligence Function (But Were Afraid to Ask)
Today’s advanced threats and targeted attacks necessitate the collection, analysis and use of threat intelligence for effective cyber security. What was once the realm of government organizations is now something that all organizations should be focusing on, but few know where to start.
Join Gavin Reid, Lancope’s Vice President of Threat Intelligence, for a complimentary webinar to learn the ins and outs of threat intelligence and best practices for incorporating it into your security strategy. Topics covered will include:
What threat intelligence is
Best practices for developing a threat intelligence function
Common pitfalls to avoid when setting up a threat intelligence practice
How threat intelligence fits into the other components of an enterprise security strategy
StackOverflow
The document discusses stack overflow attacks and protection against them. It begins with an introduction to stack overflows, explaining that they occur when more items are pushed onto the stack than allocated space allows. This can overwrite adjacent memory and execute arbitrary code. Next, it describes the operation of the stack, how functions use stacks to store data and return addresses. The document then explains how attackers can exploit buffer overflows to manipulate the return address and inject shellcode to execute malicious code. Finally, it discusses some methods to protect against stack overflow attacks, such as bounds checking, address space layout randomization, and nonexecutable stacks.
SCADA Security: The Five Stages of Cyber Grief
Every time a new information technology finds its way into production, it seems as though we end up repeating the same process – security vulnerabilities will be discovered and disclosed in that technology, and users and vendors will deny that the risks are significant. Only after major attacks occur do we really start to see efforts to address the inherent risks in a systematic way.
We’re falling into this exact same trap again with Industrial Control and SCADA systems, but in this case the problem is worse, because the inherent nature of control systems prevents us from applying many of the strategies that have been used to protect other kinds of computer networks.
Join Lancope’s Director of Security Research, Tom Cross, for a look at the five stages of grief that organizations seem to pass through as they come to terms with security risks, and how far we’ve come regarding Industrial Control Systems.
Hear about:
The state of Control Systems security vulnerabilities
Attack activity that is prompting a change in perspective
The unique, long-term challenges associated with protecting SCADA networks
How anomaly detection can play a key role in protecting SCADA systems now
The Seven Deadly Sins of Incident Response
According to a recent study from Cisco, organizations show high levels of confidence in their security policies; but when it comes to their ability to scope and contain compromises, their confidence drops significantly.
Such statistics demonstrate that organizations continue to struggle with incident response.
Join Lancope’s security researcher, Brandon Tansey, and 451 Research’s senior analyst, Javvad Malik, to learn how to avoid The Seven Deadly Sins of Incident Response, and what you can do to improve your organization’s security posture.
Sins include:
- Lack of visibility/not understanding your environment
- Inability to separate the signal from the noise
- Modeling use cases on defenses, not attackers
Top 10 Security Vulnerabilities (2006)
A talk on top 10 Security Vulnerabilities based on OWASP Top Ten Project: https://www.owasp.org/index.php/OWASP_Top_Ten_Project. The presentation is available under Creative Commons Attribution-ShareAlike 2.5 Generic License: https://creativecommons.org/licenses/by-sa/2.5/.
StealthWatch & Point-of-Sale (POS) Malware
Retailers are under cyber-attack at an alarming rate. Day after day, we hear of another major national retail chain experiencing a colossal data breach.
Learn key concepts and techniques that will help you rapidly enhance your current cyber security efforts.
• Get a complete view what is currently happening in the retail industry
• Understand the concepts of NetFlow and how it can greatly enhance security efforts
• Learn how attacks are injected into the network from the POS system, and ways to detect and remediate these attacks
• Establish a means to recognize data exfiltration and learn techniques to prevent it
Cisco Threat Defense (Cisco Stealthwatch)
• Введение
• Обзор системы Cisco Stealthwatch
• Архитектура и развертывание Stealthwatch
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• Модель тревог
• Резюме
The Internet of Everything is Here
The idea of a more connected world is an exciting prospect. The proliferation of Internet-enabled cars, appliances, medical devices, thermostats, and so on has already changed the way we live and will only continue grow. Unfortunately, these devices are expanding an already large attack surface, and cybercriminals are eager to exploit them.
If we do not prepare for this influx of new, specialized devices on our networks, the Internet of Things (IoT) will leave gaping holes in our cybersecurity practices. But securing these many devices is a daunting task for even the bravest security professional.
Join Keith Wilson of Cisco Security for a webinar to discuss the security challenges related to IoT. Topics covered include:
-Why IoT devices can be difficult to secure
-Industries already affected by this trend such as health care, manufacturing, financial services and retail
-The various approaches to securing these devices
-How you can best keep IoT devices from becoming a security liability
Network Security: Protecting SOHO Networks
The document discusses how to secure small office/home office (SOHO) networks. It recommends ditching standard consumer-grade routers and ISP routers in favor of using a true firewall like PfSense installed on custom hardware. Other recommendations include using a smart network switch, replacing existing WiFi with commercial-grade access points like Ubiquiti UniFi, setting up virtual private networks (VPNs) for remote access, and monitoring the network with open-source tools like Wireshark, Nmap, Snort, and OSSEC to detect intrusions and vulnerabilities. The document emphasizes starting simple and knowing your network well in order to effectively secure and defend it.
Cisco CSIRT Case Study: Forensic Investigations with NetFlow
Cisco CSIRT uses NetFlow to collect 16 billion flows from Cisco’s 175TB of traffic observed daily. The data is used to monitor, investigate, and contain incidents using 3 key playbook “plays” each day.
Two leaders from Cisco's Computer Security Incident Response Team (CSIRT) will review a real cyber incident and the resulting investigation leveraging NetFlow collected via the StealthWatch System.
Participants will learn how to use NetFlow and the StealthWatch System to:
Investigate top use cases: C&C discovery, data loss and DOS attacks
Gain contextual awareness of network activity
Accelerate incident response
Minimize costly outages and downtime from threats
Protect the evolving network infrastructure
Provide forensic evidence to prosecute adversaries
Intelligent Segmentation: Protecting the Enterprise with StealthWatch, Cisco ...
Intelligent Segmentation: Protecting the Enterprise with StealthWatch, Cisco ISE and TrustSec
Recent breaches have demonstrated that insider threats and determined attackers are effectively able to operate on the network interior where they can wreak havoc on an organization. As a result, it has become necessary to implement security policies inside the network. This webinar describes a data intelligence-driven approach to dynamically segmenting the network to control threats and protect the enterprise through the use of NetFlow and Lancope’s StealthWatch® System in combination with Cisco ISE and TrustSec.
This webinar will cover:
• design and deployment scenarios
• use cases
• best practices
• configuration examples
• forward-leaning vision
The primary takeaway of this webinar is a methodology for leveraging StealthWatch to drive segmentation policies and control threats on the network interior.
DDos Attacks and Web Threats: How to Protect Your Site & Information
Hacking and data theft use to belong to expert hackers. Today, anybody can go online, download free hacking tools, and launch sophisticated Web attacks within minutes. Join InterDev as we host this webinar presented by Imperva to see these tools in action and learn how to protect your Website from these attacks.
Imperva's Web application cloud based security solution, specifically designed for small and mid-sized organizations, can secure your Website against attacks from free hacking tools such as Havij.
Combating Insider Threats – Protecting Your Agency from the Inside Out
When Edward Snowden leaked classified information to the mainstream media, it brought the dangers posed by insider threats to the forefront of public consciousness, and not without reason. Today’s agencies are drowning in fears surrounding sophisticated cyber-attacks but perhaps the most concerning type of attack out there – the insider threat. According to Forrester, abuse by malicious insiders makes up 25% of data breaches. Learn about the best practices and technologies you should be implementing now to avoid becoming the next victim of a high-profile attack.
- Become aware of the different types of insider threats, including their motives and methods of attack
- Understand why conventional security tools like firewalls, antivirus and IDS/IPS are powerless in the face of the insider threat
- Gain clarity on the various technologies, policies and best practices that should be put in place to help detect and thwart insider threats
- Discover how network logs, particularly NetFlow, can be used to cost-effectively monitor for suspicious insider behaviors that could indicate an attack
- Know about emerging attack methods such as muleware that could further escalate insider threats in the coming years
RSA NetWitness Log Decoder
This document provides instructions on configuring and troubleshooting the NetWitness Log Decoder. It begins with basic configuration steps like adding a log decoder, setting the capture interface, and starting capture. It then covers potential capture failures due to issues like disk space, parser errors, and describes how to analyze logs and configurations to diagnose the problems. The document also demonstrates how to ingest logs and view them in the log decoder and concentrator. It provides tips on troubleshooting log ingestion issues and checking that the log decoder is capturing logs received on port 514.
BSidesAugusta ICS SCADA Defense
Your SCADA system has a vulnerability, now what? I shortly summarize the DNP3 vulnerabilities (and other ICS protocols too). Then I focus on the different mitigations that an ICS owner can do to mitigate these types of protocol implementation vulnerabilities even if there is no patch or patches can't be installed. I also show the importance of doing Network Security Monitoring to help detect and respond to anomalies in ICS/SCADA networks.
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So You Want a Threat Intelligence Function (But Were Afraid to Ask)
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Intelligent Segmentation: Protecting the Enterprise with StealthWatch, Cisco ...
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Save Your Network – Protecting Manufacturing Data from Deadly Breaches
This document discusses threats faced by manufacturers from cyber attacks and how to protect important intellectual property and sensitive business data, known as "crown jewels". It describes how network behavioral anomaly detection (NBAD) can be used to monitor network traffic and identify anomalies that may indicate insider threats or external attacks. The document outlines how to identify crown jewels, monitor insiders' network activity, ensure proper audit trails are in place, and provides an overview of the Lancope StealthWatch solution for gaining network visibility and security intelligence.
Insider threats webinar 01.28.15
The document discusses insider threats and methods for detecting and preventing them. It defines an insider as a person with credentials and access to an organization's endpoints. It describes how insiders may be motivated to carry out attacks due to factors like ideology, financial hardship, or extortion. It also outlines threats posed when insiders' credentials are compromised or misused. The document recommends techniques like background checks, multifactor authentication, endpoint hardening, and anomaly detection methods to reduce insider vulnerabilities. It emphasizes the importance of network visibility and audit trails for timely detection of insider threats.
Fast Data Overview for Data Science Maryland Meetup
An overview of Open Source Fast Data platforms (Spark, Kafka, HBase, Impala, Apex, H20, Druid, Flink, Storm, Samza, ElasticSearch, Lucene, Solr, SMACK, PANCAKE)
Fast Data Mining: Real Time Knowledge Discovery for Predictive Decision Making
Fast Data as a different approach to Big Data for managing large quantities of “in-flight” data that help organizations get a jump on those business-critical decisions. Difference between Big Data and Fast Data is comparable to the amount of time you wait downloading a movie from an online store and playing the dvd instantly.
Data Mining as a process to extract info from a data set and transform it into an understandable structure in order to deliver predictive, advanced analytics to enterprises and operational environments.
The combination of Fast Data and Data Mining are changing the “Rules”
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Today, no industry is immune from a potential data breach and the havoc it can create. According to a 2013 Global Data Breach study by the Ponemon Institute, the average cost of data loss exceeds $5.4 million per breach, and the average per person cost of lost data is approaching $200 per record in the US. Protecting sensitive data in Hadoop is now the imperative for IT and business. With the emergence of Hadoop as a business-critical data platform, Hadoop offers organizations opportunities to improve performance, better understand customers and develop a competitive advantage. But reaching these desirable analytic outcomes depends on the ability to use data without exposing the organization to unnecessary risk. This presentation will cover best practices for a data-centric security, compliance and data governance approach, with a particular focus on two customer use cases within the financial services and insurance industries. You'll learn how these companies are reducing their security exposure through automated data-centric protection of sensitive data in Hadoop.
Using Hadoop to Drive Down Fraud for Telcos
Communication Service Providers (CSPs) lose around $38 Billion to fraud every year. Check out this webinar to learn more about the Cloudera - Argyle Data real-time fraud analytics platform and how Telcos can utilize Apache Hadoop to drive down fraud.
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This document discusses building a production data infrastructure beyond a big data pilot project. It examines the data value chain from data acquisition to analytics. The key components discussed include data acquisition, ingestion, storage, data services, analytics, and data management. Various options for these components are explored, with considerations for batch, interactive and real-time workloads. The goal is to provide a framework for understanding the options and making choices to support different use cases at scale in a production environment.
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Finance Data Lake objective is to create a centralized enterprise data repository for all Finance and Supply Chain data. It serves as the single source of truth. It enables a self-service discovery Analytics platform for business users to answer adhoc business questions and derive critical insights. The data lake is based on open source Hadoop big data platform and a very cost effective solution in breaking the ERP data silos and simplifying the data architecture in the enterprise.
POCs were conducted on in-house Hortonworks Hadoop data platform to validate the cluster performance for Production volumes. Based on business priorities, an initial roadmap was defined using 3 data sources including 2 SAP ERPs and Peoplesoft (OLTP systems). Development environment was established in AWS Cloud for agile delivery. The near real time data ingestion architecture for the data lake was defined using replication tools and custom SQOOP based micro-batching framework and data persisted in Apache Hive DB in ORC format. Data and user security is implemented using Apache Ranger and sensitive data stored at rest in encryption zones. Business data sets were developed in Hive scripts and scheduled using Oozie. Multiple reporting tools connectivity including SQL tools, Excel and Tableau were enabled for Self-service Analytics. Upon successful implementation of the initial phase, a full roadmap is established to extend the Finance data lake to over 25 data sources and enhance data ingestion to scale as well as enable OLAP tools on Hadoop.
Protect your Private Data in your Hadoop Clusters with ORC Column Encryption
This document discusses fine-grained access control for big data through ORC column encryption. It describes how column encryption in the ORC file format allows encrypting individual columns for different security requirements. The encryption is transparent to users and works with tools like Hive and Spark. A key management system is used to securely provide encryption keys while auditing which users access which data. Static data masking is also supported to anonymize data for users without encryption key access.
Protect your Private Data in your Hadoop Clusters with ORC Column Encryption
Fine-grained data protection at a column level in data lake environments has become a mandatory requirement to demonstrate compliance with multiple local and international regulations across many industries today. ORC is a self-describing type-aware columnar file format designed for Hadoop workloads that provides optimized streaming reads, but with integrated support for finding required rows quickly. In this talk, we will outline the progress made in Apache community for adding fine-grained column level encryption natively into ORC format that will also provide capabilities to mask or redact data on write while protecting sensitive column metadata such as statistics to avoid information leakage. The column encryption capabilities will be fully compatible with Hadoop Key Management Server (KMS) and use the KMS to manage master keys providing the additional flexibility to use and manage keys per column centrally. An end to end scenario that demonstrates how this capability can be leveraged will be also demonstrated.
Big Data for Security
This document discusses using big data analysis of DNS data to improve cybersecurity operations. It describes how DNS data generates terabytes of logs daily that are difficult to analyze due to scale. The document proposes a solution to collect and filter DNS packets directly from network taps, analyze the data in real-time and historically using Hadoop and other tools to detect anomalies and threats, and use the insights to update blacklists and block malicious traffic. Diagrams show how the system would integrate with existing security tools and orchestrate analytical workflows.
Fine Grain Access Control for Big Data: ORC Column Encryption
Fine-grained data protection at a column level in data lake environments has become a mandatory requirement to demonstrate compliance with multiple local and international regulations across many industries today. ORC is a self-describing type-aware columnar file format designed for Hadoop workloads that provides optimized streaming reads, but with integrated support for finding required rows quickly. In this talk, we will outline the progress made in Apache community for adding fine-grained column level encryption natively into ORC format that will also provide capabilities to mask or redact data on write while protecting sensitive column metadata such as statistics to avoid information leakage. The column encryption capabilities will be fully compatible with Hadoop Key Management Server (KMS) and use the KMS to manage master keys providing the additional flexibility to use and manage keys per column centrally.
MySQL Manchester TT - Security
This document discusses best practices for securing MySQL databases. It notes that 43% of companies experienced a data breach in the past year. It then provides statistics on the large number of identities exposed in data breaches in 2013. The document identifies common database vulnerabilities like poor configurations, over privileged accounts, and weak authentication. It also discusses database attacks like SQL injection and how to prevent them. Finally, it covers regulatory compliance requirements for frameworks like PCI-DSS and HIPAA.
Who, What, Where and How: Why You Want to Know
Hot Technologies with Dr. Robin Bloor, Dez Blanchfield and IDERA
In our increasingly data-driven society, knowing who did what with information assets is a must-have. Every aspect of the business benefits: operations, analytics, planning, compliance. The story gets even more serious when sensitive information comes into play. For all these reasons and more, the modern business needs to know what's happening where, and who is involved in the process.
Register for this episode of Hot Technologies to hear Dr. Robin Bloor and Data Scientist Dez Blanchfield extol the virtues of data awareness. They'll be briefed by Bullett Manale of IDERA, who will demonstrate how his company's software allows organizations to gain deep insights into their data, right down to the column level. He'll show how to audit the most sensitive information, monitor and alert on suspicious activity, satisfy audits for PCI, HIPAA, FERPA and SOX -- all from a Web-based dashboard that simplifies access from any browser.
Gaining Support for Hadoop in a Large Corporate Environment
1) A team at Sprint was formed to research using Hadoop for analytics after their CTO refocused them on analyzing data.
2) They built a prototype Hadoop cluster to evaluate their data and learn new analytics techniques. This led to new benefits, insights from new data sources, and a new analytics infrastructure.
3) Sprint has since expanded its Hadoop clusters for analytics, partnering across departments and scaling to support production use cases delivering actionable insights.
Demo intelligent user experience with oracle mobility for publishing
The document discusses Oracle Mobility and how it can provide intelligent user experiences. It focuses on always providing the right content to users on the right device by delivering digital experiences across multiple touchpoints. It provides demonstrations of how beacons, location services and push notifications can be used to deliver targeted content and advertisements to users.
AISA - v6 - Damien Manuel
Corporate Partners document discusses why decrypting SSL traffic is important for security. It outlines the major changes in threats and security approaches over time from 1996 to 2015. The document also provides a threat taxonomy categorizing different types of attackers and their typical motivations. It discusses issues around decrypting SSL traffic including performance, privacy concerns, and legal compliance. Recommendations include using dedicated decryption devices for performance and policy-based enforcement, as well as consulting legal and privacy experts when developing organizational policies.
Apache NiFi Toronto Meetup
The document introduces Hortonworks DataFlow (HDF) and Apache NiFi. It discusses how HDF addresses challenges with enterprise data flow, such as variability in data formats/schemas, size/speed of data, security, and scaling. HDF provides a visual user interface and secure end-to-end data routing. It also offers data provenance for governance and compliance. HDF and Apache NiFi can be used for real-time data ingestion and management, data as a service, regulatory compliance, security applications like asset/personnel protection and fraud prevention, and other big data use cases.
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APNIC Security Specialist Jamie Gillespie gives an overview of APNIC and how we engage with the LEA community.
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The document discusses how threat actors often register spoofed domains to target organizations, and how analyzing domain registration patterns can provide strategic and tactical threat intelligence. It provides examples of analyzing spoofed domains targeting healthcare organizations to identify trends, and pivoting from domains used in attacks to find others associated with the same actors. The analysis of registration trends and WHOIS data on spoofed domains can help organizations monitor for potential threats and gain situational awareness during incidents.
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Protect your Private Data in your Hadoop Clusters with ORC Column Encryption
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More from Lancope, Inc.
Solving the Visibility Gap for Effective Security
Network visibility is a vital component of an effective security strategy, but many organizations lack the ability to identify threat activity in their environment. At Cisco, we have assessed the networks of thousands of organizations, and in nearly every instance, we discovered undocumented hosts, risky user behavior, or malicious activity.
Whether it is rogue servers, unauthorized connections, or ongoing data breaches, we’ve harnessed the power of network visibility to identify a variety of suspicious and malicious activity. Now let us share our knowledge with you.
Join Jeff Moncrief, Systems Engineering Manager at Cisco, to learn:
- The reality of how vulnerable enterprise networks are from endpoint to edge
- The security benefits of end-to-end network visibility
- Common problems solved with network visibility
- Stories of real-life threats hidden on networks we’ve assessed
- How to turn your network into a security sensor to gain critical visibility and threat detection capabilities
5 Signs you have an Insider Threat
While the current threat landscape is full of sophisticated and well-resourced adversaries, one of the most dangerous is the insider because they already have access to the sensitive data on your network.
According to a report from Forrester Research, nearly half of technology decision makers who experienced a data breach in the year studied reported that an internal incident was the source of their compromise.
Since firewalls and perimeter defenses are largely incapable of addressing insider threats, organizations must turn to internal network monitoring and analytics to identify threats based on their behavior.
Join us for a free webinar on the Five Signs You Have an Insider Threat to learn what to look for to protect your organization from this challenging attack type. The webinar will cover topics including:
- Insider threat prevalence
- Major signs of insider threat activity
- How to detect these signs
- How to identify an insider threat before they impact your organization
Using Your Network as a Sensor for Enhanced Visibility and Security
Driven by the mobility, cloud computing, and Internet of Everything megatrends and fueled by increasingly sophisticated cybercriminals, today’s information landscape is more dynamic and more vulnerable than ever before.
Join Cisco and Lancope for a complimentary webinar to learn how you can implement a comprehensive, network-enabled approach to cybersecurity.
During the webinar we will discuss:
Using the Network as a Security Sensor with Lancope’s StealthWatch System and Flexible NetFlow and to obtain visibility at scale, monitor network activity efficiently, discover security incidents quickly, and help achieve compliance.
Using the Network as a Security Enforcer with Cisco TrustSec to ensure policy-based access control and network segmentation for containment of the network attacks, assist compliance and reduce risks of data-breaches.
Looking for the weird webinar 09.24.14
Signature detection of attacks requires an understanding of what is “bad” traffic. Unfortunately, advanced attackers are crafting innovative and persistent attacks that create a new brand of “bad” that has no signature. Today’s organizations must instead embrace more forward-thinking security measures such as behavioral analysis in order to identify threats that bypass conventional defenses.
Join this complimentary webinar to learn how real-world breaches over the last couple of years were detected by looking at traffic deviating from normal patterns via metadata/NetFlow analysis.
Discover how:
- Sophisticated attackers are bypassing conventional, signature-based security solutions
- NetFlow analysis can detect both known and unknown threats by identifying anomalous behaviors that could signify an attack
- Leveraging flow data can significantly improve threat detection, incident response and network forensics
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Financial services organizations are prime targets for cyber criminals. They must take extreme care to protect customer data, while also ensuring high levels of network availability to allow for 24/7 access to critical financial information. Additionally, industry consolidation has created large, heterogeneous network environments within large financial institutions, making it difficult to ensure that networks have the necessary visibility and protection to prevent a devastating security breach. By leveraging NetFlow from existing network infrastructure, financial services organizations can achieve comprehensive visibility across even the largest, most complex networks. The ability to quickly detect a wide range of potentially malicious activity helps prevent damaging data breaches and network disruptions. Attend this informational webinar, conducted by Lancope’s Director of Security Research, Tom Cross, to learn: How NetFlow can help quickly uncover both internal and external threats How pervasive network insight can accelerate incident response and forensic investigations How to substantially decrease enterprise risks
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This document summarizes an expert webcast on the Critical Security Controls and the StealthWatch system. John Pescatore from SANS discussed the Critical Security Controls and how they help prioritize security efforts. Charles Herring from Lancope then discussed how the StealthWatch system provides network visibility through NetFlow monitoring and can help implement several of the Critical Security Controls through boundary defense, threat detection, incident response, and secure network engineering capabilities. The webcast concluded with a question and answer session.
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Combating Insider Threats – Protecting Your Agency from the Inside Out
- 1. Charles Herring Cyber Security Specialist @charlesherring Introduction
- 2. © 2014 Lancope, Inc. All rights reserved. Crown Jewels • Card holder data (PCI) • Patient records (HIPAA) • Trade secrets • Competitive information (M&A) • Employee data (PII) • State Secrets • Customer Data Data that is valuable to attackers
- 3. © 2014 Lancope, Inc. All rights reserved. Why do attackers care? Attacker Jewel Motivation Criminals PCI Data $4-$12/card Criminals Patient Records $30-$50/record Activists Anything Shaming State Sponsored Trade Secrets Geopolitical State Sponsored Patient Records ?!?!!!! Insiders IP and Customer Data Professional Advantage
- 4. © 2014 Lancope, Inc. All rights reserved. WAN DATACENTER ACCESS CORE3560-X Atlanta New York San Jose 3850 Stack(s) Cat4k ASA Internet Cat6k VPC Servers 3925 ISR ASR-1000 Nexus 7000 UCS with Nexus 1000v © 2014 Lancope, Inc. All rights reserved. Where to Look? North, South, EAST AND WEST = Every Communication
- 5. Signature Anomaly Behavior How to Look Signature = Object against blacklist • IPS, Antivirus, Content Filter Behavior = Inspect Victim behavior against blacklist • Malware Sandbox, NBAD, HIPS, SEIM Anomaly = Inspect Victim behavior against whitelist • NBAD, Quantity/Metric based—not Signature based Signature Behavior Anomaly Known Exploits BEST Good Limited 0-day Exploits LimIted BEST Good Credential Abuse Limited Limited BEST
- 6. © 2014 Lancope, Inc. All rights reserved. By Data Grouping – Data Inventory • Find your data • “Pull the thread” with Top Peers/Flow Tables • Host Group Policies with lower tolerance Find your jewels
- 7. © 2014 Lancope, Inc. All rights reserved. Data Anomaly Alarms • Suspect Data Hoarding • Target Data Hoarding • Total Traffic • Suspect Data Loss Counting Access
- 8. © 2014 Lancope, Inc. All rights reserved. Data Hoarding
- 9. © 2014 Lancope, Inc. All rights reserved. Data Loss
- 10. © 2014 Lancope, Inc. All rights reserved. Map the Segmentation • Logical vs. Physical • Map Segmentation Watch the logical roadways
- 11. © 2014 Lancope, Inc. All rights reserved. Custom Events • Evolution of HLV • Alert when Segmentation fails • Allows for NOR logic Alert on Zero Tolerance
- 12. © 2014 Lancope, Inc. All rights reserved. Logical vs. Physical Map Segmentation Watch the logical roadways 12 Segmentation Violations
Editor's Notes
- There are three ways Lancope detect things. For Signatures, Lancope augments this with our SLIC Threat Feed. Our StealthWatch Labs group of researchers work with external parties that define and develop URLs and IPs that are known to be bad, that you can put into your system and you can match those against every single conversation in your network, right. So it’s real-time, it’s ubiquitous across your enterprise, its high value. Anomaly detection is our threshold-based alerting, so that when we drop in a system, we are going to create high concern index events on day one based on devices that exceed acceptable thresholds of noise. Within our behavior-based system, you have to have thresholds on both low-end and high-end because the behavior of a host will actually live in between those two areas. But what this means is, for super slow attackers that are doing actually very little traffic, those will alert below a threshold; and for very noisy volumetric-based DDoS attacks that are coming in via UDP floods, those actually become threshold-based alarms as well. The behavior-based alarms come with the fact that we are building this learned baseline overtime. Minimum of seven days to create a baseline, expands out to 30 days, rolls overtime, most heavily weighted on the last couple weeks of activity. It is, this is where we are actually able to detect things like worm activity and worm propagation and beaconing hosts, things like data hoarding and data exfiltration. These are based on conditions, statistical conditions that we’ve learned about you as a user on your network. You the customer have already invested early in signature based technology and it is not like that stuff is no longer effective, it is just that your adversary has advanced and so must you. Behavior and Anomaly detection methods address the problem of not knowing what you are looking for ahead of time as in your zero-day exploitation. Behavior based detection contain the threat and observe the behavior with an objective to dynamically build a blacklist – or a list of bad things; Anomaly detection leverages known good behavior or actions either as inherit to the protocols, statistically collected from the traffic, or asserted by the user; this whitelist or list of norms allow the detection to be based not on abnormalities but on the differences that make the difference.