How Machine Learning & AI Will Improve Cyber Security
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The panel discusses the potential of machine learning (ML) and artificial intelligence (AI) in enhancing cybersecurity, examining both current applications and their effectiveness. They emphasize the importance of understanding data collection and analysis capabilities while recognizing that ML and AI are not comprehensive solutions. Practical steps for leveraging these technologies to improve cybersecurity posture are also outlined.
How Machine Learning & AI Will Improve Cyber Security
- 2. Our Panel Setu Kulkarni, VP, Product & Corporate Strategy, WhiteHat Security Jared Carlson, Principal Researcher for Strategy, CA Veracode Alan Shimel, Editor-in- Chief, DevOps.com, Security Boulevard, Container Journal
- 3. The Next Great Leap Machine Learning (ML) and Artificial Intelligence (AI) have been proclaimed as perhaps the next great leap in human quality of life, as well as a potential reason for our extinction. Somewhere in between lies how ML & AI can potentially improve our Cyber Security efforts. But are ML & AI a true panacea or merely the next shiny trinket for the cyber industry to fixate on?
- 4. Let’s Explore • How ML & AI is currently being utilized in cyber security efforts • What is working and what has not worked • What is on the both the short term and near-term horizon for ML &AI • Practical steps you can take now to begin leveraging these technologies to tangibly improve your cyber security posture
- 5. Practical Steps to Success Practical steps you can take now to begin leveraging these technologies to tangibly improve your cyber security posture: • Understand what your data collecting capabilities are • Ensure you have the ability to analyze the amount of data you collect • AI and ML can be force multipliers, but aren’t a total solutions • No matter which solution you choose, understand why actions and decisions are made • Even if you are already using AI & ML stay on top of new developments, new technologies and new products/services
- 6. © 2017 WhiteHat Security, Inc. WhiteHat Security Secures Digital Business WhiteHat Combines Technology and Human Intelligence to perform Application Security Testing via: ➢ Dynamic Web App Scans ➢ Source Code Scans ➢ Mobile App Scans ➢ Computer-Based Training for security and developers Verified Vulnerabilities via WhiteHat’s Threat Research Center offer near 0% False Positive Rates.
- 7. © 2017 VERACODE INC. ACQUIRED BY CA TECHNOLOGIES7 About Veracode Company Growth • 6 Trillion + lines of Code Scanned* • A 4X Leader in Gartner Magic Quadrant for application Security Testing (Feb 2017)* • 1400+ Customers • 30+ Patents Customer Outcomes •36.5M Flaws Fixed All Time •3,100 Consultation Calls •400,000 Program Management Hours Enabling Developers •3 Second Scan times (with Greenlight) •24 Languages Supported •77 Frameworks Supported •29 Integrations Note: * indicates year-to-date *Veracode Acquired April 2017 Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
- 8. Questions Recording of this webinar will be available at SecurityBoulevard.com.