Introducing AI Session Analysis: Smarter, Faster Insights into Privileged Access

The challenge of modern security isn't just collecting data; it's understanding it. In the world of Privileged Access Management (PAM), you're likely sitting on mountains of session recordings and command logs from SSH servers, Kubernetes clusters, databases, and more. Auditing these for unusual activity or policy breaches is absolutely critical, but how do you spot the vital few in the overwhelming many? It's the classic "needle in a haystack" problem, amplified.

Manually sifting through these logs or painstakingly replaying sessions simply isn't sustainable. It eats up precious time and, more importantly, high-priority security incidents can easily go unnoticed. That's precisely why we built AI Session Analysis, a smarter way to turn your raw session data into clear security insights. By harnessing the power of large language models (LLMs), we instantly provide clear summaries, actionable risk scores, and crucial contextual metadata. Get the full picture for your sessions in an instant.

Making Sense of Sessions, Automatically

Behind the scenes, AI Session Analysis works much like a smart security analyst who’s read all your logs. It recognizes sequences of commands and their effects, and then summarizes them in plain language. 

As soon as a session starts producing logs, whether it’s an SSH session, a kubectl exec, or a database query, Border0’s AI engine analyzes the entire interaction. It summarizes the activity in clear, plain language. You’ll know if a user pulled production data, edited sensitive files, or ran system-level commands, no need to review the raw logs.

This critical session was automatically flagged by Border0’s AI Session Analysis engine. It summarizes privileged root activity on server with CockroachDB, identifies elevated permissions and exposed credentials, and assigns a high-risk score

Along with the summary, each session is scored for risk based on the nature of the actions taken. That helps security teams quickly identify sessions that warrant closer inspection. AI Session Analysis also generates descriptive titles and smart labels for every session, so they’re no longer just timestamps and user IDs, they’re easily searchable and self-describing.

Instead of hours reviewing logs, you get the “what, why, and how risky” in seconds.

Introducing the Insights Dashboard

To help teams focus on what matters, we’re also launching the new Insights dashboard. Insights is your command center and brings together the AI-powered results and highlights potentially suspicious sessions, whether it’s someone exporting a ton of data, running unusual shell commands, or triggering known-bad patterns.

It surfaces the sessions that matter most using a two-pronged approach:

1. AI/LLM-Powered Analysis

The AI doesn’t just summarize, it flags behavior that looks risky or out of place.  For example, it might detect:

• Large data extractions or full table scans
• Attempts to change system configuration settings
• Use of debug flags or scripts outside of normal patterns

Because it understands command sequences in context, we can help you identify activity that doesn’t violate a specific rule but still feels unusual,  and bring it to your attention. These findings are flagged by the AI engine in Insights, often with a brief explanation. In short, the AI is continuously on the lookout for anything that “doesn’t look right” in a session, so you get a heads-up if, say, an engineer ran something unusual at 3AM or enabled a seldom-used debug mode on a server.

2. Static analysis Matching

Complementing the intelligent AI/LLM Analysis, which detects unusual patterns and behaviors indicating potential security issues by understanding context, is a set of static analysis detection rules. These are pattern-based checks for the kinds of malicious or reckless actions that no legitimate session should likely ever have. These catch:

• Dangerous commands like rm -rf /

• Credential leaks or exposed secrets in session output

• Use of tools like password crackers

Together, these two engines surface sessions that deserve a second look, with just enough detail to understand why, before you even hit “replay.” This LLM-driven analysis is akin to having a smart security co-pilot watching every session for you.

AI session Insights Dashboard

Why It Matters

The AI Session Analysis feature and Insights dashboard together deliver huge benefits for administrators, security engineers, and compliance teams. Here’s how they make a difference:

Save hours of manual log review by surfacing meaningful summaries. Instead of wading through countless sessions, you can now immediately pinpoint the few that need attention. The AI’s risk scores and highlights let you triage in minutes what used to take hours. High-risk sessions bubble to the top of your queue, so your team can prioritize investigation where it matters most.

Catch Threats and Anomalies Easier: Malicious actions, policy violations, and strange anomalies stand out clearly with the new summaries and alerts. Unusual behavior that might have been overlooked in a mountain of logs are surfaced prominently. This means potential security incidents are far less likely to go unnoticed. 

Accelerated Incident Response: When an incident does occur, AI Session Analysis helps you understand the scope and sequence of events faster. You get a clear summary of what the user did (e.g. “opened firewall ports and extracted database records”) along with the exact timeline, which is invaluable for incident response. Faster insight means faster containment and remediation.

Improved Compliance and Auditing: For compliance and audit purposes, having structured summaries and risk classifications for each session is a huge win. Instead of showing auditors raw data, you can provide a high-level overview of all privileged activities, with the ability to drill into details on demand. It’s easier to demonstrate that you are monitoring sensitive actions and enforcing security controls. 

In short, AI Session Analysis turns what used to be a labor-intensive review process into an intelligent, streamlined workflow. Overworked security teams can now rely on automated expertise to spot the needles in the haystack, reducing the chance of human error or oversight.

Leading the Next Generation of PAM

Traditional PAM tools give you data. Border0 helps you understand it. With AI Session Analysis, we’re not just capturing access sessions, we’re making them actionable.

This is a step toward a future where security teams aren’t drowning in data but empowered by it. A future where AI helps detect issues earlier, compliance is easier to prove, and operational visibility is just built-in.

Try It Out Today

AI Session Analysis and the Insights dashboard are live now in the Border0 Console. Just head to the Insights section to start exploring your session activity with a whole new level of clarity.

Want to see it in action? Watch our demo video to see how AI catches risky sessions in real time. Or reach out to our team to learn how Border0 can help modernize your access security.

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