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Dark Reading
Study also reveals enterprises rely on multiple tools to ensure cloud security.
Bleeping Computer
Gartner predicts that security operations centers will have 50% more engineers than analysts by 2028 as AI agents take over routine alert handling. Prophet Security examines how AI is reshaping SOC roles, from analyst responsibilities and detection engineering to threat hunting and exposure management. [...]
The Hacker News
AI is beginning to take over much of the work that has traditionally defined the security analyst's job. Investigating alerts, collecting evidence, correlating activity across tools, and executing response actions are becoming tasks that AI systems can perform on their own. As these capabilities mature, security operations centers (SOCs) will see major changes in how work is organized, how
Dark Reading
Investors poured $140 million into Torq's Series D Round, raising the startup's valuation to $1.2 billion, to bring AI-based "hyper automation" to SOCs.
The Hacker News
If you work in security operations, the concept of the AI SOC agent is likely familiar. Early narratives promised total autonomy. Vendors seized on the idea of the "Autonomous SOC" and suggested a future where algorithms replaced analysts. That future has not arrived. We have not seen mass layoffs or empty security operations centers. We have instead seen the emergence of a practical reality.
The Hacker News
Over the past year, we watched a new class of alert appear in enterprise security operations centers and grow faster than anything else in the stream: alerts that were triggered by AI tools and agents. Not attacks against AI, but the ordinary, everyday footprint of an organization using it, from developers running coding agents and non-technical staff signing consumer AI tools into corporate
The Hacker News
Security Operations Centers (SOC) today are overwhelmed. Analysts handle thousands of alerts every day, spending much time chasing false positives and adjusting detection rules reactively. SOCs often lack the environmental context and relevant threat intelligence needed to quickly verify which alerts are truly malicious. As a result, analysts spend excessive time manually triaging alerts, the
The Hacker News
Scaling the SOC with AI - Why now? Security Operations Centers (SOCs) are under unprecedented pressure. According to SACR’s AI-SOC Market Landscape 2025, the average organization now faces around 960 alerts per day, while large enterprises manage more than 3,000 alerts daily from an average of 28 different tools. Nearly 40% of those alerts go uninvestigated, and 61% of security teams admit
The Hacker News
The SOC of 2026 will no longer be a human-only battlefield. As organizations scale and threats evolve in sophistication and velocity, a new generation of AI-powered agents is reshaping how Security Operations Centers (SOCs) detect, respond, and adapt. But not all AI SOC platforms are created equal. From prompt-dependent copilots to autonomous, multi-agent systems, the current market offers
The Hacker News
Security leaders are embracing AI for triage, detection engineering, and threat hunting as alert volumes and burnout hit breaking points. A comprehensive survey of 282 security leaders at companies across industries reveals a stark reality facing modern Security Operations Centers: alert volumes have reached unsustainable levels, forcing teams to leave critical threats uninvestigated. You can