Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Exabeam expands Behavior Intelligence to address risks introduced by agentic AI. This release introduces open-source projects for agent verification and telemetry, expanded AI observability with Anthropic Claude support, more than 50 new Agent Behavior Analytics (ABA) detections (bringing total to 90), Exabeam Nova Content Creator, and OWASP Agentic Top 10 coverage scoring in Outcomes Navigator, enabling teams to continuously verify, observe, analyze, and improve AI agent security.

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.

Short correlation windows miss insider risk because misuse develops gradually, often over longer periods than detection models track. Short correlation windows miss insider risk because misuse often spans longer periods than detection models track. When context resets at fixed intervals, small behavioral changes fail to accumulate into visible risk. When context resets at fixed intervals, behavior is evaluated in disconnected segments.

Insider threats often don’t trigger alerts because the activity relies on valid credentials, approved tools, and authorized workflows. When viewed as individual events, this behavior looks normal and stays below traditional rule thresholds. Risk accumulates across otherwise valid actions without producing a signal that meets alert thresholds.

Every CISO has prepared for a budget conversation by building the strongest possible business case. The right data, the right framing, the right numbers. But the security leaders who consistently earn CFO support are not necessarily the ones with the most polished decks. They are the ones who built the relationship that made the ask credible before it ever landed on the table. That distinction came through clearly in a recent conversation between Exabeam CISO Kevin Kirkwood and Exabeam CFO Mike Byron.