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AI-powered cybersecurity threats include deepfakes, automating breaches, and morphing malware in real time, challenging cyberdefenses. 
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Despite the clear threats, regulatory efforts to control AI remain slow and fragmented.
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Data poisoning represents the next big existential cybersecurity threat — unless organizations can ensure their AI systems are safe and trustworthy.
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One in four UK businesses lack a documented strategy to address generative AI (GenAI) threats, according to research from Ivanti.
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In 2025, expect the rapid advancement of AI to bring forth opportunities as well as significant cybersecurity risks.
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Security leaders and CISOs are discovering that a growing swarm of shadow AI apps has been compromising their networks for over a year.
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The transformative power of artificial intelligence (AI) is bringing about major changes in the worlds of business and cybersecurity.
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From
www
A new report warns hackers using agentic AI systems could revolutionize the global threat landscape.
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In digital forensics and cyber incident response (DFIR), where the rapid discovery of relevant information in a multitude of files and records is crucial, AI can be a game-changer, helping save both lives and businesses.
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Most GenAI use is mundane, but the 8.5% of prompts analyzed potentially put sensitive personal and company information at risk.
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As businesses and customers turn to AI for automation and decision-making, it becomes even more crucial to reduce the impact of AI hallucinations.
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With the rush to implement AI across organizations came the increase in the use of MLOps platforms and a greater risk of attack. Learn more about MLOps platforms and how threat actors are using them.
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Strategic and thoughtful implementation of AI can help SOCs scale up without overloading analysts. In fact, building an AI SOC can reduce analyst workloads, increase efficiency, and improve performance
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AI is redefining cybersecurity by enabling organizations to anticipate, detect, and respond to threats with unprecedented speed and precision.
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Data governance is the backbone of any data initiative. Properly managing the new data risks and regulations of AI technologies requires the addition of AI data governance.
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AI-driven SOC 3.0 automates 100% of alerts, cuts response time from days to minutes, and enables proactive threat detection—reducing costs and analyst
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How can enterprises protect against the unique vulnerabilities of AI agents? Consider treating them as their own identities.
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From
fortune
AI agents present cybercriminals with a powerful new upgrade to their arsenal, changing the tool from a basic assistant to an active and eager co-worker that never needs to sleep.
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Over 60% of breaches start with exposed assets. Attack Surface Management helps organizations detect risks before hackers do, reducing successful atta
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Tech giants like Microsoft, Google, and OpenAI are quietly transforming into early warning systems, using AI to track malicious actors — sometimes down to the individual level — before they launch malware campaigns.
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As AI continues to evolve, the intersection of data security and AI regulation will become increasingly important.
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Although generative AI holds immense promise in information security, it does come with challenges that must be addressed.
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AI-generated code is surfacing everywhere, even in places where its use is officially banned. Here's what cybersecurity leaders can do to ensure it doesn't jeopardize security.
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Mitigating Cybersecurity, Privacy Risks for New Class of Autonomous Agents
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Cybersecurity experts say artificial intelligence will not just assist in coding , but will take the lead in many aspects of cybersecurity and business operations.
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