Technology Team

Beyond the Prompt: Securing the Model Context Protocol (MCP) in the Agentic Era

Cloud Technologies, Network Security, Operational Technology Infrastructure /

The rapid evolution of generative AI has brought us to a critical inflection point in 2026. We have moved past simple chatbots that merely summarize text to “Agentic AI”, systems that can autonomously navigate databases, execute code, and trigger business workflows. Central to this shift is the Model Context Protocol (MCP), an open standard designed […]

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Decoding the Black Box: The Strategic Necessity of the AI Bill of Materials (AI-BOM)

Cyber Governance Risk And Compliance /

In the software era, we were taught that “software is eating the world.” By 2026, it is more accurate to say that AI is digesting the enterprise. Cisco reports that 83% of organizations plan to deploy AI agents within the next year, marking a massive surge in the transition toward autonomous digital workers. This reflects

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Cognitive Hacking: The New Frontier of Social Engineering

Cyber Governance Risk And Compliance, Network Security /

In the landscape of 2026, the most sophisticated cyberattack is no longer a virus designed to crash your server or an encrypted payload aimed at your database. Instead, the most dangerous threat is an attack on the most vulnerable processor in your organization: the human mind. This is the era of “Cognitive Hacking,” a term

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The Kinetic Frontier: Securing Physical AI and Autonomous Logistics in 2026

Cyber Governance Risk And Compliance, Network Security /

The New Reality of the “Moving” Enterprise As we navigate the first quarter of 2026, the definition of a “workforce” has fundamentally changed. We have transitioned from the era of static automation, where robots performed repetitive, pre-programmed tasks in caged environments, to the era of the AI-native mobile agent. Today, autonomous mobile robots (AMRs) and

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The 2026 Security Inflection: Transitioning to AI-Native Resilience

Cloud Technologies, Cyber Governance Risk And Compliance /

As we move deeper into 2026, the global business landscape has reached a definitive tipping point. We are no longer merely “experimenting” with artificial intelligence; we have entered the era of the AI-native enterprise. Recent data indicates that the share of organizations actively assessing the security of their AI tools has nearly doubled in just

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The “Shift Left” Lie: Why Developers Hate Security (And How to Fix It)

Cloud Technologies, Cyber Governance Risk And Compliance, Network Security, Operational Technology Infrastructure /

For the past decade, the cybersecurity industry has rallied behind a single, catchy slogan: “Shift Left.” The logic seemed impeccable. If we move security testing earlier in the software development lifecycle (SDLC), from the final staging phase “left” into the coding phase, we can catch bugs cheaper, faster, and more effectively. On PowerPoint slides presented

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The “Kill Switch” Debate: When to Disconnect the Internet

Cyber Governance Risk And Compliance, Cyber incident Response and disaster recovery /

It is the nightmare scenario every CISO dreads, and it usually happens at 3:00 AM on a Saturday. A security analyst notices anomalous traffic on a primary database server. Files are being encrypted at a rate of 10,000 per minute. It is unmistakably ransomware. The containment algorithms have failed. The malware is moving laterally, seeking

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The “Vishing” Epidemic: When AI Clones Your CFO’s Voice

Cyber Governance Risk And Compliance /

The email is dead. Long live the voice call. For decades, cybersecurity professionals have trained employees to scrutinize subject lines, hover over links, and check for misspelled domains. We built our defenses around the assumption that the attacker would come through text. But while we were busy securing the inbox, the attackers moved to the

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Insider Threats vs. Negligent Insiders: Knowing the Difference

Cyber Governance Risk And Compliance, Cyber incident Response and disaster recovery, Identity and Acess Management /

In the cinematic version of cybersecurity, the “insider threat” is almost always a dramatic figure. They are the disgruntled former employee stealing trade secrets at midnight, or the corporate spy planting malware on a server farm. These narratives make for excellent thrillers, but they create a dangerous blind spot for business leaders. The reality of

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