News from the AI & ML world
DeeperML - #organizations
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Nazy Fouladirad@AI Accelerator Institute
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References:
hiddenlayer.com
, AI Accelerator Institute
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As generative AI adoption rapidly increases, securing investments in these technologies has become a paramount concern for organizations. Companies are beginning to understand the critical need to validate and secure the underlying large language models (LLMs) that power their Gen AI products. Failing to address these security vulnerabilities can expose systems to exploitation by malicious actors, emphasizing the importance of proactive security measures.
Microsoft is addressing these concerns through innovations in Microsoft Purview, which offers a comprehensive set of solutions aimed at helping customers seamlessly secure and confidently activate data in the AI era. Complementing these efforts, Fiddler AI is focusing on building trust into AI systems through its AI Observability platform. This platform emphasizes explainability and transparency. They are helping enterprise AI teams deliver responsible AI applications, and also ensure people interacting with AI receive fair, safe, and trustworthy responses. This involves continuous monitoring, robust security measures, and strong governance practices to establish long-term responsible AI strategies across all products. The emergence of agentic AI, which can plan, reason, and take autonomous action to achieve complex goals, further underscores the need for enhanced security measures. Agentic AI systems extend the capabilities of LLMs by adding memory, tool access, and task management, allowing them to operate more like intelligent agents than simple chatbots. Organizations must ensure security and oversight are essential to safe deployment. Gartner research indicates a significant portion of organizations plan to pursue agentic AI initiatives, making it crucial to address potential security risks associated with these systems. Recommended read:
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Mandvi@Cyber Security News
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References:
Cyber Security News
, gbhackers.com
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AI has become a powerful weapon for cybercriminals, enabling them to launch attacks with unprecedented speed and precision. A recent CrowdStrike report highlights the increasing sophistication and frequency of AI-driven cyberattacks. Cybercriminals are leveraging AI to automate attacks, allowing them to be launched with minimal human intervention, which leads to an increase of network penetrations and data theft.
AI's ability to analyze large datasets and identify patterns in user behavior allows cybercriminals to develop more effective methods of stealing credentials and committing fraud. For example, AI can predict common password patterns, making traditional authentication methods vulnerable. AI-powered tools can generate highly personalized phishing emails, making them almost indistinguishable from legitimate communications and greatly increasing the profitability of cyberattacks. Recommended read:
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Fred Oh@NVIDIA Newsroom
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References:
NVIDIA Newsroom
, TechPowerUp
NVIDIA's CUDA libraries are increasingly vital in modern cybersecurity, bolstering defenses against emerging cyber threats like malware, ransomware, and phishing. Traditional cybersecurity measures struggle to keep pace with these evolving threats, especially with the looming risk of quantum computers potentially decrypting today's data through "harvest now, decrypt later" strategies. NVIDIA's accelerated computing and high-speed networking technologies are transforming how organizations protect their data, systems, and operations, enhancing both security and operational efficiency.
CUDA libraries are crucial for accelerating AI-powered cybersecurity. NVIDIA GPUs are essential for training and deploying AI models, offering faster AI model training, enabling real-time inference for identifying vulnerabilities, and automating repetitive security tasks. For example, AI-driven intrusion detection systems, powered by NVIDIA GPUs, can analyze billions of events per second to detect anomalies that traditional systems might miss. This real-time threat detection and response capability minimizes downtime and allows businesses to respond proactively to potential cyberattacks. Recommended read:
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@www.reliaquest.com
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ReliaQuest researchers are warning that the BlackLock ransomware group is poised to become the most prolific ransomware-as-a-service (RaaS) operation in 2025. BlackLock, also known as El Dorado, first emerged in early 2024 and quickly ascended the ranks of ransomware groups. By the fourth quarter of 2024, it was already the seventh most prolific group based on data leaks, experiencing a massive 1,425% increase in activity compared to the previous quarter.
BlackLock's success is attributed to its active presence and strong reputation within the RAMP forum, a Russian-language platform for ransomware activities. The group is also known for its aggressive recruitment of traffers, initial access brokers, and affiliates. They employ double extortion tactics, encrypting data and exfiltrating sensitive information, threatening to publish it if a ransom is not paid. Their custom-built ransomware targets Windows, VMWare ESXi, and Linux environments. Recommended read:
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do son@Daily CyberSecurity
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FunkSec, a new ransomware group, has quickly risen to prominence since late 2024, claiming over 85 victims in its first month, more than any other group during the same period. This four-member team operates as a ransomware-as-a-service (RaaS), but has no established connections to other ransomware networks. FunkSec uses a blend of financial and ideological motivations, targeting governments and corporations in the USA, India and Israel while also aligning with some hacktivist causes, creating a complex operational profile. The group employs double extortion tactics, breaching databases and selling access to compromised websites.
A key aspect of FunkSec's operations is their use of AI to enhance their tools, such as developing malware, creating phishing templates, and even a chatbot for malicious activities. The group developed a proprietary AI tool called WormGPT for desktop use. Their ransomware is advanced using multiple encryption methods, and is able to disable protection mechanisms while gaining administrator privileges. They claim that AI contributes to only about 20% of their operations; despite their technical capabilities sometimes revealing inexperience, the rapid iteration of their tools suggests the AI assistance lowers the barrier for new actors in cybercrime. Recommended read:
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@securityboulevard.com
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CyTwist has launched a new security solution featuring a patented detection engine designed to combat the growing threat of AI-driven cyberattacks. The company, a leader in next-generation threat detection, is aiming to address the increasing sophistication of malware and cyber threats generated through artificial intelligence. This new engine promises to identify AI-driven malware in minutes, offering a defense against the rapidly evolving tactics used by cybercriminals. The solution was unveiled on January 7th, 2025, and comes in response to the challenges posed by AI-enhanced attacks which can bypass traditional security systems.
The rise of AI-generated threats, including sophisticated phishing emails, adaptive botnets, and automated reconnaissance tools, is creating a more complex cybersecurity landscape. CyTwist’s new engine employs advanced behavioral analysis to identify stealthy AI-driven campaigns and malware, which can evade leading EDR and XDR solutions. A recent attack on French organizations highlighted the capability of AI-engineered malware to exploit advanced techniques to remain undetected, making CyTwist's technology a needed development in the security sector. Recommended read:
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