Remove security-testing threat-modeling
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Mobile App Threat Modeling and Security Testing

Appknox

As technology progresses and mobile devices become ubiquitous, a remarkably large number of people worldwide are now using smartphones. In fact, current estimates show that 6.8 billion users rely on their phones for an array of activities; but most significantly – 88% is dedicated to app usage!

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GUEST ESSAY: An assessment of how ‘Gen-AI’ has begun to transform DevSecOps

The Last Watchdog

Related: The primacy of DevSecOps Through harnessing the power of Generative AI, enterprises can usher in a new era of DevSecOps, elevating development velocity, security, and robustness to unprecedented levels. AI engineers can train the AI model on a dataset of historical code changes.

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Hanwha Vision Announces Critical Security Updates for NVR and DVR Models

Penetration Testing

Hanwha Vision, a leader in surveillance technology, has swiftly responded to significant cybersecurity threats identified in several of its network video recorders (NVR) and digital video recorders (DVR).

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“Better OKRs Through Threat Modeling”

Adam Shostack

Abhay Bhargav has a really excellent post on Better OKRs for Security through Effective Threat Modeling. I really like how he doesn’t complain about the communication issues between security and management, but offers up a concrete suggestion for improvement. ”).

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Ask These 5 AI Cybersecurity Questions for a More Secure Approach to Adversarial Machine Learning

NetSpi Executives

Artificial Intelligence (AI) and Machine Learning (ML) present limitless possibilities for enhancing business processes, but they also expand the potential for malicious actors to exploit security risks. Like many technologies that came before it, AI is advancing faster than security standards can keep up with.

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Cybersecurity Insights with Contrast CISO David Lindner | 1/26/24

Security Boulevard

The attackers reportedly got in through an old testing environment, which seemingly had no multi-factor authentication (MFA) stopping them. Threat models? The post Cybersecurity Insights with Contrast CISO David Lindner | 1/26/24 appeared first on Security Boulevard. It all matters.

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NIST Report Highlights Rising Tide of Threats Facing AI Systems

SecureWorld News

But the advanced machine learning (ML) models powering this AI revolution also introduce new vectors of attack for malicious actors. That troubling dynamic motivates a comprehensive new report on AI security published by the U.S. It also summarizes known techniques to mitigate these multifaceted threats.