As the cyber threat landscape continues to change at a rapid rate, organizations are in a constant battle to triage billions of alerts. SACR also recently published, AI-SOC Market Landscape 2025. Equipped with the considerations outlined in this blog, security leaders are better equipped to perform their due diligence when identifying and evaluating the best AI-driven Security Operations Center (SOC) platform for their needs. The questions in the report cut through the fluff to expose true capabilities vs. flashy marketing claims, so organizations can feel confident in their decisions.
Organizations struggle under an unsustainable daily average of 960 alerts per organization per day. In fact, largescale enterprises employ at least 3,000 alerts per day and an average of 28 tools. Alarmingly, investigations into these alerts are abandoned in almost 40% of cases, resulting in a pitfall for the majority of businesses. Additionally, 61% of security teams acknowledge that they’ve overlooked urgent alerts. That underscores the need for a new approach to alerting—an approach where alerts are carefully managed.
Cybersecurity threats are more rampant than ever. Most surprisingly of all, 88% of those organizations that do not currently use AI-driven Security Operations Centers (SOCs) intend to implement or implement one within the next 12 months. This dramatic turnaround is an encouraging sign of the growing awareness of the crucial role advanced technologies play in protecting our nation’s digital assets.
Understanding the AI-SOC Landscape
SACR’s AI-SOC Market Landscape 2025 recognizes three main integration models organizations should look for when assessing platforms as AI driven SOC. Among these, Integrated AI-SOC Platforms represent the most holistic and impactful approach.
Integrated platforms reduce the reliance on external Security Information and Event Management (SIEM) systems. They additionally consolidate their triage and response operations into a single, centralized control plane. This all-in-one solution dramatically reduces log storage and licensing expenses. It’s a financially smart move for companies wanting to consolidate their security operations.
The report defines the emerging market across four key dimensions: what the platform automates, how it is delivered, its integration capabilities, and its operational environment. This framework enables organizations to assess platforms more effectively, ensuring they align with their specific needs and existing security stacks.
Addressing Alert Fatigue and Compliance
In a cybersecurity landscape where rapid, automated response has become the new normal, analysts are overwhelmed with alerts. They spend a million hours a day tracking emissions notifications and calibrating detection algorithms. This approach is disruptive with the unnecessary noise it creates, causing alert fatigue and making it unsustainable months/years down the line.
SACR highlights the need for a trust-building phase of two months to one year in length. And throughout this process, companies should be putting their AI technologies to work in “assist” mode. This provides an avenue for analysts to verify the rationale behind the AI’s decision. This step-by-step method builds confidence in the system, allowing for eventual full automation of responses to low-risk occurrences.
On top of this, organizations need to be responsible for compliance across many frameworks such as GDPR, ISO 27001, and local data residency laws. Knowing where your new platform fits among current security infrastructures is key. It stops integration friction at the source and doesn’t trade in one layer of complexity for another.
The Path Forward for Security Teams
In fact, organizations are currently testing or planning to implement AI SOC solutions. They have to look at their existing security stack and figure out how these new platforms will fit in seamlessly. Ultimately that means reducing disruption to end users while maintaining or even improving overall security posture. SACR lays out two main implementation models that teams should adopt in order to make a seamless transition.
In developing the cross-cutting teams, it’s important that teams start with an eye toward first validating adherence to available frameworks in order to avoid legal consequences. Further, knowing how new platforms will integrate and work with existing technologies upfront is key to avoiding costly operational headaches after new systems have been deployed.
At least that’s the future of cybersecurity we’re hoping for—real, holistic, actionable insights into vendor comparisons and platform effectiveness. For organizations hoping to achieve a competitive advantage by being early adopters of AI-enabled SOCs, SACR’s report is an essential roadmap to getting there.