Cognitive Cybersecurity Intelligence (CCSI) Group - overview
The Cognitive Cybersecurity Intelligence (CCSI) group (formerly Global Security Analysis Lab or GSAL) researches on methodologies and technologies to help organizations detecting, understanding, and deflecting advanced cyber security threats and attacks on their network and in the cloud. It explores challenging research problems posed by building and combining AI and cognitive methods (e.g., contextual and behavioral analysis, machine learning, reasoning), scalable big data security analytics (e.g., graph mining, deep correlation and provenance analysis), and next-generation defense mechanisms (e.g., transparent malware analysis, active defense and cyber deception layers) to gain deep intelligence and insights about cyber security threats and attacks as well as threat actors.
Current focus areas and projects
- AI-powered and cognitive security offense analytics, cyber threat hunting, and threat intelligence consolidation
- Cross-stack cyber deception and active defense techniques
- Cyber security analytics, event correlation, and provenance tracking on the network and device-level
- Next-generation malware analysis
- Design of high-speed and scalable data collection platforms for real-time and historical security analytics
- Security data visualization and penetration testing
Recent Highlights
- 10/2018: ACM highlighted our paper Threat Intelligence Computing in the press release: Leading Cybersecurity Conference Plans Blockbuster Program for 25th Anniversary.
- 07/2018: Our paper Threat Intelligence Computing was accepted at CCS'18.
- 05/2018: Our briefing on DeepLocker, the next generation of malware using AI locksmithing, was accepted at Black Hat USA 2018.
- 05/2018: Our paper "Error-Sensor: Mining Information from HTTP Error Traffic for
Malware Intelligence" was accepted at RAID'18. - 05/2018: Our paper on cross-stack threat sensing for cyber security and resilience was accepted at DSN'18 industry track.
- 04/2018: Our paper on filesystem view separation for data integrity and deception was accepted to appear at DIMVA'18.
- 03/2018: Our paper on protecting the intellectual property of deep neural networks with watermarking was accepted at AsiaCCS'18.
- 03/2018: Nataraj Nagaratnam (CTO, IBM Cloud Security) announces IBM Cloud Security Advisor, to which the CCSI team contributed.
- 01/2018: Our paper on endpoint service projection and deception was accepted at SDN/NFV '18 (at CODASPY '18).
- 11/2017: IBM announces the Quad 9 DNS Service, which is based on DNS analytics developed by the CCSI team
- 11/2017: Decoy and deception-based file system at CCS '17: Hidden in Plain Sight: A Filesystem for Data Integrity and Confidentiality
- 05/2017: IBM Research features our work on cognitive security in a blog post
- 02/2017: IBM launches IBM QRadar Advisor with Watson based on our research ongoing project
- 02/2017: IBM press release: IBM Delivers Watson for Cyber Security to Power Cognitive Security Operations Centers
- 12/2016: Press coverage of the beta release of our research: IBM Watson for Cybersecurity Inches from Research to Reality
- 05/2016: IBM Security turns our research into an offering: IBM Cognitive Security (Watson for Cyber Security)
- 05/2016: Ginni Rometty (CEO, Chairwoman, and President of IBM) announces Watson for Cyber Security at the IBM Security Summit 2016: Outthink Threats - Ginni Rometty
- 05/2016: Sandy Bird (IBM Fellow and CTO, IBM Security) presenting the results of our research and the offering at the IBM Security Summit 2016: Cognition and the Future of Security - Sandy Bird
IBM Product Impact
The CCSI had direct impact with core contributions to several new security products and solutions IBM launched in the last few years:
- IBM Cloud Security Advisor (Mar 2018) by IBM Cloud
- Quad 9 DNS Service (Nov 2017) by IBM Security
- IBM QRadar Advisor with Watson (Feb 2017) by IBM Security
- IBM Watson for Cyber Security (May 2016) by IBM Security
- Big Data Beaconing Detection Analytics shipped with IBM QRadar (May 2015) by IBM Security
- DNS Kinetics shipped with IBM QRadar (May 2015) by IBM Security
On-going Projects and Efforts
Cognitive Security Analytics and Threat Intelligence
We are researching and developing techniques and methodologies to apply cognitive analytics and IBM Watson technologies to challenging security problems. Our research is the foundation of the release of Watson for Cyber Security by IBM Security in 2016 and IBM QRadar Advisor with Watson in 2017.
AI-powered Big Data Cyber Security Analytics
We explore and develop novel security analytic methods that deliver sustainable cyber security defenses against emerging advanced and persistent threats (e.g., deploying data mining and machine learning techniques to detect benign, suspicious, and malicious behaviors across several heterogeneous data channels).
Active Cyber Deception and Defense
We research on methodologies, techniques, and technologies to build cyber deceptive systems on multiple layers of an organizations' IT stack with the goal of detecting and deflecting adversarial activities and thereby make adversaries reveal inadvertently their presence, capabilities, and intentions.
Feature Collection and Correlation Engine
Design, architecture, and implementation of a novel analysis engine, called FCCE, which finds correlations across a diverse set of data types spanning over large time periods with very small latency and with minimal access to raw data. Our engine scales well to collecting, extracting, and querying features from geographically distributed large data sets at close-to-real-time or from historical data sets.
Malware Analysis, Ethical Hacking, and Penetration Testing
Next-generation malware analysis technologies, Security Threat and Vulnerability Analysis, Ethical Hacking, Network Forensics, etc.