Tag: Artificial Intelligence (AI)

The Inherent Risk (and Reward) of Innovation This year, cybersecurity officers must rethink their end-to-end security ecosystem. Top priority will be identifying and addressing evolving vulnerabilities to people, processes, technologies and service providers. It's time both to re-evaluate the overarching security strategy and to take a more security-minded approach from ...

Like Achilles or Sampson, the power and potential of AI has a weakness, a vulnerability. In the case of financial services that weakness is its opacity. In general, the better the machine learning system, the blacker the box - that is, the harder it is to decipher what is going ...

The advances in technology in recent years have led to an exponential increase in the volume of data collected and stored. How can investigators maximize data analytics to achieve the most effective—and efficient—results for their clients? The answer lies in harnessing the power of AI to augment the capability and ...

How IT Can Leverage AI to Prevent Major Cybersecurity Incidents The need for artificial intelligence (AI) in IT governance, risk and compliance (GRC) is growing quickly.  As companies expand their digital footprints, cybersecurity vulnerabilities worsen due to an increased amount of data being produced from IT security monitoring and performance ...

Key Considerations for Your Next Compliance Tech Dun & Bradstreet's Global Regulatory Strategist outlines six key traits compliance professionals should be on the lookout for when evaluating next-gen compliance solutions. In an increasingly global economy where pressure for cost control is high, accessibility to broader data and advanced technologies can help compliance ...

The Driver Behind Enterprise Situational Awareness Intelligent automation is an emerging solution to enable intelligent decision-making at the strategic level, but it doesn’t necessarily have to be complex or require cumbersome new infrastructure. In fact, since overly complicated approaches to intelligent automation tend to result in project failure, simplicity may ...

Key Challenges and Benefits of AI Machine learning and artificial intelligence have become buzzwords in the financial services industry. Daniel Fernandez helps to break down the difference between the two terms and explains how these technologies are being used by compliance departments today. By delving into how these technologies work, ...

Using Artificial Intelligence to Minimize Risk Money laundering continues to be a serious concern for financial institutions across the globe, as legacy technologies allow an unacceptable number of illicit transactions to go unidentified. However, many forward-thinking financial institutions have begun working smarter by using artificial intelligence (AI), dramatically improving the ...

Compliance departments already monitor emails for nefarious keywords, but expecting even the biggest compliance departments to monitor all communication in real time is arduous and nearly impossible using only human capital. Unless they’re using artificial intelligence.

Limiting Risks in Adopting AI Enterprises and consumers are poised to adopt artificial intelligence in 2017. But along with many potential benefits, AI increases the attack surface, placing additional strain on the already thinly spread cybersecurity workforce. Finding and developing security professionals with the right skills and training is essential ...

Since the costs of legal violations and reputational damage can be crippling, an effective C&E Program is required to protect shareholder value. But adequate Board oversight and support are essential.