Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

veracode

Shifting from Vulnerability Management to Security Risk Prioritization with AI

Jul 24, 2025 By Natalie Tischler In Veracode
The adage ‘an ounce of prevention is better than a pound of cure’ applies to AppSec vulnerability management. Traditionally, AppSec has focused on a reactive ‘curing flaws’ paradigm, identifying and fixing vulnerabilities after they have occurred. However, the never-ending escalation between threats and security leads to alert fatigue and security debt.
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cyberhaven

America's AI Action plan has arrived: 3 key takeaways that data security leaders need to know

Jul 24, 2025 By Cameron Galbraith In Cyberhaven
On July 23rd, the White House released America’s AI Action Plan, a sweeping federal strategy to drive U.S. leadership in artificial intelligence. The message was loud and clear: AI is a national imperative. The plan calls for removing regulatory barriers, investing in infrastructure, and accelerating AI adoption across commercial and government sectors. For data security leaders, this signals a pivotal shift.
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Top Financial Cyber Threats Facing Businesses in 2025

Top Financial Cyber Threats Facing Businesses in 2025

Jul 24, 2025 By SecuritySenses In SecuritySenses
The world of business is facing a growing wave of cyber threats, especially when it comes to financial security. Cybercriminals are getting smarter, and their tactics are more sophisticated than ever. This isn't just a concern for big corporations; businesses of all sizes need to stay alert. A cyberattack could lead to major financial losses, damage to your reputation, or even legal headaches. In this article, we'll break down some of the top financial cyber threats businesses will likely face in 2025.
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elastic

AI is cybersecurity's biggest threat

Jul 23, 2025 By Mandy Andress In Elastic
It’s also its greatest defense The biggest threat in our rapidly evolving cybersecurity landscape is artificial intelligence (AI).1 It’s also our greatest defense. Cybersecurity is a high-stakes game where everything is on the line and decisions have to be made fast. For years, cybersecurity strategy has been about increasing visibility to make informed decisions from vast amounts of data.
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netacea

Stolen by the Scrapers: How to Protect and Profit from Your Content in the Age of AI

Jul 23, 2025 By Netacea In Netacea
What is LLM Scraping? We’re entering a new phase of the Internet, one that is increasingly shaped by generative AI. These systems need data, and lots of it. To meet this hunger, they scrape the web, pulling in everything from news articles and academic journals to product listings, metadata, and user-generated content. This practice, known as large language model (LLM) scraping, has moved far beyond traditional bots indexing public sites.
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elastic

AI and the 2025 SIEM landscape: A guide for SOC leaders

Jul 23, 2025 By Elastic Security Team In Elastic
Security teams often find themselves having to put out the immediate fires in front of them, but this comes at the expense of implementing a more methodical risk reduction strategy. Attack surfaces are expanding, and new risks emerge with new tech. Modern security operations center (SOC) teams are drowning in alerts, stretched thin by talent shortages, and racing to stay ahead of increasingly sophisticated adversaries.
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trustcloud

Leveraging AI to reduce cybersecurity costs and risks: A CISO's guide

Jul 23, 2025 By Shweta Dhole In TrustCloud
In this article Chief Information Security Officers (CISOs) face a dual imperative in the digital landscape of today: safeguarding their organizations from an ever-evolving threat landscape while managing escalating security costs. Artificial Intelligence (AI) offers transformative potential in meeting these challenges by automating threat detection, streamlining compliance, and optimizing resource allocation.
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trustcloud

How CISOs are using AI to automate risk assessments in 2025

Jul 23, 2025 By Shweta Dhole In TrustCloud
In this article In 2025, the role of the Chief Information Security Officer (CISO) and compliance leadership has become even more critical in ensuring that risk assessments are not only comprehensive but also agile and adaptive. Artificial Intelligence (AI) has emerged as a transformative force in cybersecurity, enabling risk assessments to be automated, more accurate, and proactive.
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