Category: aiMSSP

Recent Cyber Attacks and Threat Actor Activity: A Deep Dive into the Evolving Threat Landscape

Recent Cyber Attacks and Threat Actor Activity: A Deep Dive into the Evolving Threat Landscape

Executive Overview Over the past week, global threat activity has highlighted a critical reality: modern cyber attacks are faster, more coordinated, and increasingly industrialized. From mass exploitation of web application vulnerabilities to ransomware-as-a-service operations and record-breaking volumetric DDoS attacks, adversaries continue to evolve both tactically and operationally. This article provides a deep analytical overview of

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Real-World Cyber Attack Detection: How Modern SOCs Identify, Block, and Contain Advanced Threats

Real-World Cyber Attack Detection: How Modern SOCs Identify, Block, and Contain Advanced Threats

Executive Summary Modern cyberattacks rarely appear as a single obvious incident. Instead, they manifest as multiple low-level signals across web, endpoint, DNS, cloud, and network telemetry. When analyzed in isolation, these signals may seem benign. When correlated intelligently, they reveal active attack campaigns targeting applications, identities, cloud storage, and network boundaries. This article presents a

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Bangalore MNCs Under Cyber Siege: Why India’s Silicon Valley Faces a New Era of Risk and How Unified Security Platforms Are Becoming Essential

Bangalore MNCs Under Cyber Siege: Why India’s Silicon Valley Faces a New Era of Risk and How Unified Security Platforms Are Becoming Essential

Bangalore is the beating heart of India’s technology landscape, a global hub where innovation, data, and enterprise operations converge at unprecedented scale. But a new report highlights a stark reality: as digital acceleration skyrockets, so do the cyber risks facing the multinational organizations (MNCs) operating here. With the DPDP Act 2023 reshaping compliance expectations and

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Fighting AI with AI: The Rise of Multi-LLM Orchestrated Cyber Attacks

Fighting AI with AI: The Rise of Multi-LLM Orchestrated Cyber Attacks

The cybersecurity landscape has entered a dangerous new phase. Nation-state actors and sophisticated cybercriminals are orchestrating five to eight different Large Language Models simultaneously, creating adaptive breach campaigns that operate at machine speed. This represents the most dramatic transformation in cyber warfare since ransomware and it is rendering traditional defenses obsolete. The Multi-LLM Attack Arsenal

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