{"id":235012,"date":"2026-06-22T09:30:00","date_gmt":"2026-06-22T13:30:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/22\/3-ways-ai-is-transforming-security-operations-and-where-it-delivers-real-impact\/"},"modified":"2026-06-22T09:45:08","modified_gmt":"2026-06-22T13:45:08","slug":"3-ways-ai-is-transforming-security-operations-and-where-it-delivers-real-impact","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/22\/3-ways-ai-is-transforming-security-operations-and-where-it-delivers-real-impact\/","title":{"rendered":"3 ways AI is transforming security operations – and where it delivers real impact"},"content":{"rendered":"

3 ways AI is transforming security operations – and where it delivers real impact<\/a><\/p>\n

https:\/\/www.cybersecuritydive.com\/spons\/3-ways-ai-is-transforming-security-operations-and-where-it-delivers-real\/822590\/<\/a><\/p>\n

Publish Date: 2026-06-22 09:30:00<\/a><\/p>\n

Source Domain: www.cybersecuritydive.com<\/a><\/p>\n

Author: <\/a><\/p>\n

Using an unordered list, summarize the following article with between 4 and 8 key points. <\/p>\n

Spend enough time walking the floor at RSA or any major cybersecurity conference, and you\u2019ll eventually be convinced that the fully autonomous security operations center (SOC) is just a software upgrade away. But the current reality is much more nuanced. As the proliferation of AI agents\u2014and the non-human identities (NHIs) they spawn\u2014expands the attack surface to unprecedented size and generative AI adoption multiplies data risk, skills shortages persist in the face of rising threats. Security operations (SecOps) teams have long been exhorted to \u201cwork smarter, not harder,\u201d but they need the right tools and processes to actually achieve that aim.<\/p>\n

Applied in the right places, AI does have the potential to ease the burden on perennially overworked SecOps teams. But AI washing\u2014the practice of exaggerating or overstating how much AI a vendor\u2019s solution actually employs\u2014is rampant in cybersecurity right now. CISOs need to be careful and strategic in implementing new solutions to ensure that they gain real value, rather than merely adding costs.
\n\u201cRight now it feels like cybersecurity vendors are moving faster than their customer can move,\u201d says Philip Armbrust, Senior Director of Presales Engineering at SHI. \u201cThe largest among them have had AI on their roadmaps for at least five or six years now. If an organization\u2019s SecOps program is already very mature, and they\u2019ve consolidated their technology stack on one of these vendors\u2019 platforms, maybe they\u2019ll be able to gain significant ROI from agentic AI in the SOC right now. But for many companies, realizing that vision is still in the future.\u201d
\nHere are three important ways that AI can add value in security operations right now.
\n#1: Materially increase the value of your existing telemetry
\nIt\u2019s long been true\u2014in theory\u2014that the more telemetry data a SecOps team gathers, the better visibility becomes, and the more accurate detections are. It has also long been true\u2014in practice\u2014that more telemetry means more false positive alerts, more dashboards and consoles to monitor, and more frustration and burnout among analysts
\nAI has enormous potential to change this equation. The more data AI models are trained on and fed, the more effectively they work. And what AI is best at is finding patterns and correlations across large volumes of information. This means that AI-driven SOC platforms can process enormous volumes of telemetry data in milliseconds to identify subtle anomalies or multi-step attack paths that would otherwise be missed. <\/p>\n

AI can also clean and enrich telemetry, unifying it with event data from multiple sources to transform it into actionable information that drives measurable improvements in mean time-to-detection (MTTD) and mean time-to-response (MTTR).
\n#2: Help mature SecOps programs move beyond SIEM
\nSecurity information and event management (SIEM) platforms have vexed cybersecurity practitioners just about as long as they\u2019ve existed. SIEMs tend to flood analysts with low-value alerts while demanding endless tuning, rule-writing and integration work. Even though they\u2019re excellent at centralizing logs, they\u2019re often poor at helping analysts understand what\u2019s in those logs: the critical context that enables faster and more accurate response.
\n\u201cRight now, many organizations with mature security programs are re-evaluating their SIEM implementations,\u201d Brad Bowers, Global Field Chief Information Security Officer at SHI, notes. \u201cThey\u2019re asking how they can end their addition to SIEM and replace it with technology that\u2019s more agile and enables automated decision-making at the edge, instead of sending all the telemetry to somewhere central.\u201d
\nNew applied AI solutions can identify potentially malicious activities on endpoints and automatically kill processes, isolate hosts or block connections when high-confidence detections are made. By relying less on SIEM-based correlation, SecOps programs can accelerate response while also making it more precise and surgical. In this model, SIEM retains its role in forensics and compliance, but applied AI at the edge takes over much of the detection and alert triage that used to depend on the SIEM.<\/p>\n

#3: Make human analysts smarter and more confident
\nAI-powered copilots can help security analysts draft emails, but they can also assist them in creating complex search queries, custom correlation rules and platform-specific detection logic. AI tools make it simpler to write scrips, with human oversight needed only for review and validation. These tools can also summarize incidents, build reports and answer natural-language questions, accelerating junior analysts\u2019 acquisition of knowledge and confidence.
\n\u201cOrganizations keep asking if AI is going to replace Tier 1 and Tier 2 analysts,\u201d says Bowers. \u201cThe answer is no. AI cannot automatically block all attacks without humans working alongside it. But it can help human analysts decrease the amount of time it takes to detect and respond to threats.\u201d
\nWith AI-augmented security operations, forward-thinking CISOs can boost human analyst productivity and reduce alert fatigue by balancing automation and oversight. In a world where attacks keep getting faster and smarter, the biggest benefits of AI adoption\u2014time and labor savings\u2014are no longer simply nice to have.
\n\u201cEvery organization should be looking for places to apply AI within their SecOps program right now,\u201d adds Bowers. \u201cThe key to success is identifying the workflows where AI will drive the biggest improvements in response time. That\u2019s what really matters.\u201d
\nWant to learn more about how industry leaders are thinking about the biggest challenges in security operations? Download SHI and Stratascale\u2019s 2026 Cyber Trends Report today.<\/p>\n

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