TechSpective’s AI Security section covers the rapidly evolving collision between artificial intelligence and enterprise cybersecurity — both AI as a threat vector and AI as a defensive tool. This is one of the most active and consequential areas in enterprise security right now, and TechSpective covers it with practitioner-level depth. Broader topics include cybersecurity market consolidation driven by AI, the security implications of generative AI and large language models, and the long-term outlook for AI’s role in the security workforce.
Agentic AI has become the phrase everyone is trying to wrap their arms around. It’s showing up in vendor messaging, conference sessions, board slides—you name it. And yet, for many people actually running security programs, the definition shifts depending on […]
Agentic AI Workflows Are Reshaping Cybersecurity—But Only If We Use Them Wisely Read More »
AI-powered search tools promise something irresistible: type a question and instantly surface the most relevant information across your entire organization. It’s efficient, intuitive, and already reshaping how people work. But this ease of discovery also reveals a problem many companies
AI Search Is Exposing Hidden Access Pathways—Identity Security Must Catch Up Read More »
Security teams today are surrounded by information yet starved for clarity. They track thousands of vulnerabilities, alerts, and exposures across hybrid environments while executives demand clear answers to simple questions: How bad is it? What’s the risk? What should we
Why Security Needs a Unified, AI-Native Risk Platform Read More »
Cloud computing’s agility has permanently reshaped enterprise IT, but it also exposes new layers of vulnerability. Modern organizations run thousands of workloads across AWS, Azure, and Google Cloud while orchestrating containers, microservices, and APIs that shift by the minute. Security
How Orca Security is Redefining Cloud Protection Through Context and Coverage Read More »
Cloud security has always been about keeping up with change. Containers, serverless apps, and multicloud infrastructure each forced defenders to rethink how they protected workloads. Now, AI is accelerating that evolution again — faster than anything before it. Traditional cloud-native
The Next Phase of Cloud Security Intelligence Read More »
Artificial intelligence has entered an era of autonomy. It’s no longer a tool that simply predicts or automates—it acts. This evolution, often called agentic AI, represents a profound shift: we’re building systems that reason, make choices, and take action in
Building Trust in AI Starts with Protecting the Data Behind It Read More »
Artificial intelligence is entering a new phase. The rise of agentic systems — AI models that can act independently across tools, APIs, and data sources — has created both opportunity and unease in the enterprise. These systems promise automation at
Rubrik Agent Cloud and the Race to Govern AI Intelligence Read More »
Every few years, cybersecurity reaches a point where familiar methods begin to strain under new realities. The shift to the cloud changed how teams thought about infrastructure. DevOps blurred the boundaries between development and operations. Now, artificial intelligence is challenging
Rethinking Application Security in the Agentic Era Read More »
The internet wasn’t designed for machines. It’s a patchwork of dynamic pages, logins, and unpredictable code—chaotic enough to make even the smartest AI stumble. That gap between intelligence and execution is where the next wave of AI innovation is emerging.
The Web Wasn’t Built for Machines Read More »
For Mondelez International—the $80 billion global maker of Oreo, Ritz, and Chips Ahoy—the shift from Microsoft Azure to Amazon Web Services wasn’t just another IT project. It was a full-scale reinvention of how the company approaches cybersecurity in a hyper-connected
Inside Mondelez’s Cloud-Sec Overhaul with AWS and CrowdStrike Read More »
