The AI beat is saturated with hype. TechSpective’s coverage looks at what things mean, not just what happened. When a new model ships or a platform adds agentic capability, we dig into what actually changes and for whom, from LLMs and agentic systems to AI PCs and the security risks of running AI in production.
The rapid ascent of Artificial Intelligence (AI) has sparked a profound reevaluation of how we interact with technology, particularly in the realm of productivity software. At the forefront of this revolution are large language models (LLMs) like OpenAI’s ChatGPT and […]
The AI Takeover: Is ChatGPT the New Office and Photoshop? Read More »
As enterprises scale their use of artificial intelligence, a hidden governance crisis is unfolding—one that few security programs are prepared to confront: the rise of unowned AI agents. These agents are not speculative. They’re already embedded across enterprise ecosystems—provisioning access,
The Unclaimed Identity: Why Autonomous AI Agents Are the Next Governance Crisis Read More »
Artificial Intelligence Appreciation Day—celebrated annually on July 16—is a good moment to pause and reflect on just how far AI has come. AI isn’t just about futuristic robots and Hollywood depictions; it’s now embedded in daily life, reshaping businesses, and
Celebrating AI’s Evolution From Idea to Impact Read More »
If your LinkedIn feed is like mine, 80% of the content is gushing about how the latest AI model will revolutionize their business. But for me, this matters almost zero – folks have got it backwards. The thing that will
How a Psychology Background Makes for Better AI Adoption Read More »
Having spent the last 20+ years in cybersecurity, helping scale cybersecurity companies, I’ve watched attacker methods evolve in creative ways. But Kevin Mandia’s prediction about AI-powered cyberattacks within a year isn’t just forward-looking, the data shows we’re already there. The
The AI Arms Race: Why Traditional Cybersecurity is Already Obsolete Read More »
Modern supply chains are extremely complex, intricate, and expansive, comprising many parties (like brokers, shippers, and warehouses) that must communicate and operate in a timely and organized manner. Like any ecosystem, one small disruption can affect the larger environment in
Why AI-Driven Logistics and Supply Chains Need Resilient, Always-On Networks Read More »
It’s no secret the cybersecurity landscape is shifting fast. Between the surge in AI adoption, rising demand for data sovereignty, and the political turbulence rattling global trust in U.S.-based tech, security leaders are being pulled in a dozen directions at
AI, Sovereignty, and the New Cybersecurity Crossroads Read More »
The cybersecurity industry has long been defined by its cautious pragmatism—measured growth, technical jargon and a general aversion to flair. But that mold is beginning to crack. Following Google’s headline-grabbing $23 billion acquisition of Wiz, industry analysts and investors have
Carving An Unconventional New Lane in Cybersecurity Read More »
For years, generative AI vendors have reassured the public and enterprises that large language models are aligned with safety guidelines and reinforced against producing harmful content. Techniques like Reinforcement Learning from Human Feedback have been positioned as the backbone of
One Prompt Can Bypass Every Major LLM’s Safeguards Read More »
When it comes to cybersecurity, we need to consider the good, the bad, and the ugly of artificial intelligence. While there are benefits of how AI can strengthen defenses, cybercriminals are also using the technology to enhance their attacks, creating
Managing Cybersecurity Risks in the Age of AI Read More »
