White Papers in Next-Generation Technologies & Secure Development > Artificial Intelligence & Machine Learning

Cyber Risk Benchmarking: What the Business Needs to Know

Cybersecurity has become a popular agenda item with the board. But, conveying the complexities of cyber risk management to senior executives and the corporate board isn't easy. To communicate cyber risk effectively, you must find a common business language grounded in risks, opportunities and business impact. Save...

How leading organisations use AI to deliver exceptional customer experiences

From protecting customer experience to preserving lines of revenue, IT operations teams are faced with increasingly complex responsibilities while being required to prevent outages that could harm the organization. Splunk IT Service Intelligence (ITSI) utilizes AI powered by machine learning to deliver a predictive IT...

Enabling Risk-Based Email Security Using Machine Learning

By providing a dynamic, real-time view of the actual risk of a data breach, machine learning takes data security to the next level, reducing friction for senders and recipients, and ultimately promotes adoption for an improved security posture.

Machine Identity Protection for Dummies eBook

Businesses spend billions each year on identity and access management, but almost all of this money is spent on protecting the digital identities of humans - usernames and passwords. On the other hand, businesses spend almost nothing on protecting machine identities, even though our entire digital economy hinges...

Defending IoT-Powered Smart Cities: Las Vegas Case Study

In recent years, Las Vegas has become a prototypical smart city. Between its fully autonomous vehicles and its array of IoT sensors, the city aims to embrace innovation without compromising the security of its 650,000 residents and 42 million annual tourists. Yet local governments know that internet-connected...

Cyber Defense for Local and State Governments

Much like private companies, state and local governments of all kinds are going through a digital transformation at an unprecedented pace: migrating sensitive data to the cloud, installing internet-connected infrastructure, and offering services powered by smart devices. At the same time, cyber-criminals are also...

Using Machine Learning for Fraud Prevention

Machine learning is one of the tools that you should be using as part of a multifaceted fraud strategy at financial institutions. To get value out of ML, you need to have multiple inputs. You have to have an intelligence network and the location to gather all that network intelligence.

Beyond the Hype: AI in your SOC

You've heard the AI evangelists, but how can you ensure the AI solution you invest in is an intelligent, cognitive solution that can make your job easier?

AI for IT: Preventing Outages with Predictive Analytics

Imagine a world where incident alerts arrive 30 minutes before problems even begin - you'd actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again. A superior AIOps (Artificial Intelligence for IT Operations) solution can help maintain...

Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most

Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You're not alone. Cybersecurity leaders have been grappling with these challenges for years - and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per...

The Role of AI & Machine Learning in Email Security

Machine learning models and artificial intelligence are transforming the way email is secured. Download this eBook to learn more about: The state of email security today; The role AI and ML play in securing email infrastructures; Why humans need not be a weak link.

Key Trends in Payments Intelligence - Machine Learning for Fraud Prevention

Banks can drive real value to their fraud prevention strategies with machine learning and analytics if they cut through the hype

The Seven Essentials of an Analytics-Driven SIEM

SIEM (security information and event management) software offers a lot of promise, but legacy SIEMs simply can't keep up with the rate and sophistication of today's cyberattacks. Organizations today require access to analytics-driven SIEMs that combine a big data platform that is optimized for machine data with...

Security with AI and Machine Learning

For security professionals seeking reliable ways to combat persistent threats to their networks, there's encouraging news. Tools that employ AI and machine learning have begun to replace the older rules- and signature-based tools that can no longer combat today's sophisticated attacks. In this ebook, Oracle's Laurent...