Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI security is entering a more demanding phase. The market is moving beyond who can add AI to a product and toward who can make it useful in the real world — across existing security environments, partner ecosystems, and day-to-day operations. CRN’s 2026 Annual Report Card offers a useful snapshot of that shift. In the AI Security category, Exabeam earned the top overall score at 90.6, leading all four subcategories and every one of the 21 individual evaluation criteria.

CISOs can strengthen security budget conversations by replacing feature comparisons with measurable operational evidence. Establish the current burden, show how an investment changes security operations, and connect those improvements to financial impact. Metrics such as alert volume, analyst investigation time, manual effort, and capacity gained help CFOs evaluate security investments in terms of cost, benefit, predictability, and measurable business value. Every CISO has been there.

Autonomy breaks traditional security operations workflows because AI agents can act continuously and independently inside approved environments. When activity is initiated and executed without a human in the loop, event-by-event review and short correlation windows fail to capture progression, intent, and accumulated risk.

Insider threats often remain hidden during early activity because individual actions appear normal in isolation. Behavioral analytics closes the dwell time gap by establishing baselines for normal behavior, evaluating activity over time, and identifying meaningful deviations before attackers trigger traditional detections.

Quick disclaimer before we start: I have a strict rule against ambulance chasing. You’ve seen vendor blogs that pounce on a breach headline just to pitch a product and claim it never would have happened with their tool installed. This isn’t that. The reported OpenAI and Hugging Face sandbox incident points to something bigger. Security teams are entering an era where autonomous AI agents can spot opportunities, adapt on the fly, and operate at machine speed.

AI agents don’t hack their way in. They don’t need to. They carry real credentials. They run inside approved systems. They read data, call APIs, and execute workflows on their own. Every action looks authorized because it is. That’s exactly the problem. The risk doesn’t show up in any single action; it emerges in the pattern as behavior shifts and drifts over time.

Not every SIEM solution is built for modern security operations. While Splunk is widely used for log management, many teams face unpredictable pricing, complex tuning, and slow investigations as environments scale. New-Scale Fusion takes a different approach, It combines behavioral analytics, dynamic risk scoring, and coordinated AI agents to help teams detect risk earlier and move investigations forward faster. Here are six ways Exabeam improves outcomes compared to Splunk.

Insider risk detection requires long-term memory because misuse depends on retaining behavioral history long enough to evaluate change. Detection models that rely on short correlation windows reset context too frequently to recognize progression or prioritize developing risk.

Low and slow attacks look normal because they are intentionally distributed into small, permissible actions that avoid detection thresholds. Each step appears legitimate on its own, which prevents detection systems from recognizing the overall progression. The issue is not that security teams lack telemetry. The issue is that traditional detection often evaluates activity in fragments. When each action stays below a rule or threshold, the broader pattern can remain invisible.

The LogRhythm SIEM July 2026 release adds new investigation workflow features, expands automation for administration and archiving, and broadens telemetry coverage across cloud, identity, collaboration, endpoint, and email environments. Organizations running on-premises and hybrid environments often need tight control over data to meet sovereignty and operational requirements.