Articles

  • Jan 9, 2025 | americanbanker.com | Daniel Garrie |David Cass

    Banks today face a formidable challenge in combating fraud amid rapid digital transformation. Despite significant investments in security, fraud incidents continue to expose critical vulnerabilities. Traditional approaches, often reactive and fragmented, are no longer sufficient. Banks must transition to proactive, integrated strategies encompassing robust risk management and asset liability management, or ALM, to effectively reduce fraud.

  • Jun 11, 2024 | securitycurrent.com | David Cass

    Demand for skilled security professionals remains strong, but it’s being tested by the economic uncertainty that accompanies an election cycle. Economic uncertainty typically spurs companies to cut spending, and many consequently have either had big layoffs or major restructurings. That’s probably leading to hiring freezes until companies sort out where they stand internally.

  • May 1, 2024 | lawjournalnewsletters.com | Daniel Garrie |David Cass |Jennifer Deutsch

    In an era where digital threats loom large, the responsibilities of Chief Information Security Officers have expanded beyond traditional IT security to encompass a broader governance, risk management, and compliance role. The infamous SolarWinds Corp. attack illustrates the complex cybersecurity landscape CISOs navigate.

  • Feb 27, 2024 | securitycurrent.com | David Cass

    AI and ML systems need ongoing oversight to ensure their performance remains ethical, optimal and functioning within an anticipated operational threshold. System decisions, algorithms and data sources also need to be systematically evaluated to ensure compliance with internal policies or external regulations, ethical standards and organizational objectives. In combination, the importance of doing both continuous monitoring and auditing is to assure performance.

  • Feb 13, 2024 | securitycurrent.com | David Cass

    The adoption of artificial intelligence and machine learning is expected to deepen as organizations seek to increase efficiencies. But compromised models could cause financial losses or reputational damage to an organization. As CISOs, then, it is our mandate to protect the integrity of AI/ML models by creating a security testing and validation program.

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