Announcing AI Agents for Privileged Access Security

Introducing AuthNull’s AI-powered SecOps automation, a breakthrough in security operations that replaces traditionally human-operated tasks with intelligent agents. Our initial focus centers on privileged access management, where we’re deploying our first autonomous agent to transform how organizations handle security policies.

This first agent revolutionizes policy automation through three core capabilities. First, it handles comprehensive policy discovery and enforcement by mapping existing access patterns across your infrastructure. The agent identifies overprivileged accounts and access anomalies, then automatically generates least-privilege policies based on actual usage patterns. These policies are enforced in real-time across your entire security stack, ensuring consistent protection. Second, the agent implements and maintains security baselines by applying industry-standard frameworks like NIST and CIS. It continuously monitors for deviations from these baselines and automatically remediates any gaps in security posture, maintaining a robust security foundation without constant human oversight.

Third, the agent introduces sophisticated risk-based access control. It evaluates each access request against established behavioral baselines while considering contextual factors such as time, location, and device posture. This enables dynamic permission adjustment based on real-time risk scores and implements adaptive authentication requirements as needed. Currently, the agent manages policies across four key domains: Active Directory, where it handles group policies, permissions, and delegation; Service Accounts, managing their lifecycle, rotation, and usage monitoring; Endpoints, controlling access and security configurations; and RADIUS authentication, overseeing network access and authentication policies.

This release marks our first step toward fully autonomous SecOps, with future agents planned to handle threat detection, incident response, and compliance automation. By automating these complex security tasks, organizations can maintain stronger security postures while reducing the operational burden on their security teams.

How Does this work:

Explain more on agentic workflow

All the below tasks are carried out using AI Agents using an agentic workflow

1. Generate a Preliminary Policy Using a RAG Model

The process begins by generating a provisional policy based on three key inputs:

• Authentication Logs
• Tenant’s Security Posture
• Similar policies, fetched from a vector database

Outcome: A preliminary policy is created, informed by the latest data and existing policies.

2. Impact Analysis

The provisional policy undergoes an impact analysis, evaluating various risk factors to identify potential anomalies and areas for improvement. Outcome: A summary of how the policy affects the system, highlighting its strengths and weaknesses.

3. Generate a Robust Policy

Based on the insights from the impact analysis, an LLM (Large Language Model) is used to refine the provisional policy, strengthening security measures and clarifying rules to address any identified risks. Outcome: A more robust and optimized policy.

4. Impact Analysis for Robust Policy

The robust policy undergoes a second round of impact analysis to assess its effects and risks on the system. Outcome: A comprehensive summary of the policy’s potential impact.

5. Risk Assessment

The risk assessment phase assigns a cumulative risk score to the robust policy, categorizing it as low, medium, or high risk based on a dynamic weighted approach. Outcome: A clear risk classification to guide further decisions.

6. Decision Making

• Using the robust policy and risk assessment, decisions are made:
• Low Risk: Auto-approve for deployment
• Medium Risk: Flag for admin review
• High Risk: Reject or require admin intervention for approval
• Outcome: Policy is either approved, suspended, or rejected.

7. Fine-Tuning

Over time, the LLM is fine-tuned using generated and historical data to continuously improve its policy generation and decision-making capabilities. Outcome: Enhanced policy outputs and better overall decision-making.

The AI Agent simplifies policy creation by automatically analyzing authentication logs, tenant security configurations, and existing policies in the background. It uses this data to generate tailored, context-aware policies that adapt to changes in real-time. Through a seamless pipeline, the agent ensures these policies are continuously updated and synchronized with evolving data sources. All this is done without any user input to ensure the recommendation service runs in the background.

FAQs

What is the value that the customer will get out of this?

Traditionally, creating and maintaining fine-grained access policies requires extensive manual effort, involving weeks or even months of work by skilled professionals. With our AI Agent, this process is automated, drastically reducing the time needed for policy generation and enforcement. Customers can save dozens of man-months annually, enabling teams to focus on strategic initiatives instead of routine tasks. By leveraging AI-driven agentic workflows, customers can significantly lower the number of people required to manage privileged access and secure environments. This means reduced operational costs, fewer dependencies on niche expertise, and an optimized workforce—all while maintaining or even improving security posture. The AI Agent evaluates risk, enforces baseline security postures, and dynamically adds risk-based conditions. This minimizes human error, strengthens system security, and ensures compliance with industry standards. Customers can rest assured that their environments are proactively protected against vulnerabilities and anomalies.

How does this feature look like in the UI?

This feature introduces our state-of-the-art AuthNull AI Agent. This tool not only provides recommended policies. The interface presents a centralized dashboard where users can view all recommended policies at a glance, but also includes an intuitive Impact Analysis View, offering detailed analysis and reports for every recommended user policy, along with preferred actions based on the security configurations. It simplifies decision-making like never before.