Cognitive security
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The document discusses cognitive security and IBM's cognitive security solutions. It begins by explaining that traditional security methods are no longer enough due to increasing technological changes. It then introduces cognitive security as a new era of security that uses techniques like machine learning and natural language processing to mimic the human brain. The document summarizes IBM's cognitive security products like IBM QRadar Security Intelligence Platform, IBM QRadar Vulnerability Manager, and IBM QRadar Risk Manager. It acknowledges challenges to adopting cognitive security but emphasizes the need to educate organizations on cognitive security capabilities.
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Cognitive security
- 1. COGNITIVE SECUTIRY A NEW ERA OF SECURIITY FOR NEW ERA OF COMPUTING
- 2. INTRODUCTION For almost a century, we’ve programmed computers to help solve complex problems. We can now simulate weather, sequence genomes and instantly share data across the world The same is true for security. For decades, we’ve programmed computers to recognize viruses, malware and exploits. We continuously tune them to become more accurate, but it’s not enough.
- 3. Bring your own IT Social business Cloud and virtualization 1 billion mobile workers 1 trillion connected objects Innovative technology changes everything
- 4. You know? you can do this online now.
- 5. Marketing Services Online Gaming Online Gaming Online Gaming Online Gaming Central Government Gaming Gaming Internet Services Online Gaming Online Gaming Online Services Online Gaming IT Security Banking IT Security Government Consulting IT Security Tele- communicat ions Enter- tainment Consumer Electronics Agriculture Apparel Insurance Consulting Consumer Electronics Internet Services Central Govt Central Govt Central Govt Attack Type SQL Injection URL Tampering Spear Phishing 3rd Party Software DDoS SecureID Trojan Software Unknown Source: IBM X-Force® Research 2011 Trend and Risk Report Size of circle estimates relative impact of breach in terms of cost to business Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Entertainment Defense Defense Defense Consumer Electronics Central Government Central Government Central Government Central Government Central Government Central Government Central Government Consumer Electronics National Police National Police State Police State Police Police Gaming Financial Market Online Services Consulting Defense Heavy Industry Entertainment 2011 Sampling of Security Incidents by Attack Type, Time and Impact
- 6. WHAT IS COGNITIVE SECURITY • Cognitive systems are self-learning systems that use data mining, machine learning, natural language processing and human–computer interaction to mimic the way the human brain works.
- 7. FROM COMPLIANT TO COGNITIVE • Since the age of the first networks and the hackers who soon followed, we’ve evolved security technology to stop attacks. • To date, there have been two distinct eras of cyber security: perimeter controls and security intelligence. These serve as building blocks as we enter the third era—cognitive security.
- 9. HOW IBM CAN HELP • The cognitive journey is just beginning, but IBM has the intellectual and financial strength to lead this revolution within security. • IBM’s investment in cognitive technologies spans decades and has seen great progression in the last five years. • The ability to process natural language, the ability to process voice and images, and the ability to turn unstructured data into tools like knowledge graphs that are easily queriable.
- 10. IBM WATSON • Watson is basically a supercomputer, combining Artificial intelligence and analytical software for optimal performance • IBM Qradar Advisor with Watson combines the cognitive capabilities of Watson
- 11. IBM QRADAR SECURITY INTELLIGENCE PLATFORM
- 12. • Turn-key log management and reporting • SME to Enterprise • Upgradeable to enterprise SIEM • Log, flow, vulnerability & identity correlation • Sophisticated asset profiling • Offense management and workflow • Network security configuration monitoring • Vulnerability prioritization • Predictive threat modeling & simulation SIEM Log Management Configuration & Vulnerability Management Network Activity & Anomaly Detection Network and Application Visibility • Network analytics • Behavioral anomaly detection • Fully integrated in SIEM • Layer 7 application monitoring • Content capture for deep insight & forensics • Physical and virtual environments Fully Integrated Security Intelligence
- 13. • Turn-key log management and reporting • SME to Enterprise • Upgradeable to enterprise SIEM • Log, flow, vulnerability & identity correlation • Sophisticated asset profiling • Offense management and workflow • Network security configuration monitoring • Vulnerability prioritization • Predictive threat modeling & simulation SIEM Log Management Configuration & Vulnerability Management Network Activity & Anomaly Detection Network and Application Visibility • Network analytics • Behavioral anomaly detection • Fully integrated in SIEM • Layer 7 application monitoring • Content capture for deep insight & forensics • Physical and virtual environments One Console Security Built on a Single Data Architecture Fully Integrated Security Intelligence
- 16. QRADAR VULNERABILITY MANAGER With IBM Security QRadar Vulnerability Manager, IBM introduces a new and distinctly different response to an important need: a truly integrated approach to security management that helps to reduce the total cost of security operations and closes a number of gaps in many existing approaches. IBM® QRadar® Vulnerability Manager proactively senses and discovers network device and application security vulnerabilities, adds context and supports the prioritization of remediation and mitigation activities. IBM QRadar Vulnerability Manager helps you develop an optimized plan for addressing security exposures. Unlike stand-alone tools, the solution integrates vulnerability information to help security teams gain the visibility they need to work more efficiently and reduce costs.
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- 30. THE PROMISE AND CHALLENGES OF COGNITIVE Many of those surveyed by the IBM Institute for Business Value (IBV) believe that the benefits of cognitive security solutions will address the gaps they are facing. Even though cognitive security is still an emerging technology area, 57 percent of respondants already believe that cognitive security solutions can significantly slow the efforts of cyber criminals Potential challenges to the adoption of cognitive security solutions, it is not that security leaders don’t understand the technology conceptually or aren’t convinced of the value or the benefits versus other solutions; the challenges are more about skills, processes and methods. Forty-five percent of respondents list the top adoption challenges as not being ready from a competency perspective and a lack of internal skills to implement. To address these concerns and ensure successful roll-outs of cognitive solutions, more education and preparation is needed.
- 31. BECOME EDUCATED ABOUT COGNITIVE SECURITY CAPABILITIES Take a holistic and formal approach to learn about cognitive security solutions. There could be many misconceptions in your organization from a capability, cost and implementation perspective. Understand the potential use cases for cognitive security solutions—match them to your areas of weakness. Plan for how you can communicate the benefits of cognitive security solutions to technical and business stakeholders—build an education plan for your team and your executives Identify and address skills gaps that may hold back adoption of the technology within your own organization
- 32. DEMOGRAPHICS AND METHODOLOGY To better understand what security challenges organizations are facing, how they are addressing these challenges and how they view cognitive security solutions and their potential, the IBM Institute for Business Value (IBV) and Oxford Economics surveyed a balanced distribution of 700 CISOs and other security professionals in 35 countries, representing 18 industries between May and July of 2016. In order to determine our clusters (the Primed, Prudent and the Pressured) we applied a k-means clustering algorithm that revealed three distinct behavior patterns.
- 33. THANK YOU!
Notas do Editor
- Traditional SIEMAs many as 6 products from 6 different vendors are needed IBM Security Intelligence and Analytics An integrated, unified architecture in a single web-based console