Veracode, a provider of application risk management, recently unveiled its 2025 GenAI Code Security Report, revealing critical security flaws in AI-generated code. The study analyzed 80 curated coding tasks across more than 100 large language models (LLMs), revealing that while AI produces functional code, it introduces security vulnerabilities in 45 percent of cases.
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Security needs continue to evolve and end users are under pressure to address emerging risks and safety concerns. For many, that focus starts with upgrading perimeter openings and layering technologies—beginning at the door.
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In today's security landscape, we are witnessing a fundamental transformation in how organizations manage digital evidence. Law enforcement agencies, campus security teams, and large facility operators face increasingly complex challenges with expanding video data, tightening budget constraints and inflexible systems that limit innovation.
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There is a new trend touting the transformational qualities of AI’s ability to deliver actionable data and predictive analysis that in many instances, seems to be a bit of an overpromise. The reality is that very few solutions in the cyber-physical security (CPS) space live up to this high expectation with the one exception being the new generation of Physical Identity and Access Management (PIAM) software – herein recategorized as PIAM+.
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It is game day. You can feel the crowd’s energy. In the parking lot. At the gate. In the stadium. On the concourse. Fans are eager to party. Food and merchandise vendors ready themselves for the rush.
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