11 AI agents powering every stage of security operations

In security, every decision carries weight. A single missed signal can compromise systems, data, and trust. Every action must also be documented, auditable, and aligned to policy. Security leaders walk a fine line between acting fast and proving control.

Teams face an endless stream of alerts and investigations, often scattered across ticketing systems, monitoring dashboards, and chat channels. The challenge isn’t only scale, it’s maintaining precision and compliance amid constant motion.

AI for security operations brings structure to that complexity. By connecting signals across tools and reasoning through context, intelligent security AI agents help teams detect incidents earlier and respond faster. They strengthen operational resilience while maintaining governance and confidence at every step.

Understanding AI for security teams

Security teams depend on a constant flow of signals, from vulnerability scans to endpoint telemetry and access logs. Yet traditional tools capture each of those elements in isolation. Analysts still spend hours searching across dashboards, chat channels, and ticketing systems to find context, slowing detection and increasing exposure risk.

AI for security operations brings those signals together. It interprets unstructured data, identifies patterns, and recommends next steps based on verified playbooks. By connecting the dots automatically, agents help teams act with context and confidence instead of switching between systems.

When built on a trusted platform like Glean, these agents work securely across the tools security teams rely on most, including Jira, Slack, ServiceNow, and identity and endpoint systems such as Okta, CrowdStrike, and Splunk. They unify knowledge, preserve governance, and give security leaders the visibility needed to make fast, informed decisions.

Core capabilities of effective security AI agents

Effective security AI agents do more than process information. They understand it in context, with accuracy, governance, and security at the forefront. These capabilities define how they deliver trusted value across enterprise environments.

• Contextual reasoning. Agents connect the relationships between alerts, vulnerabilities, and policies to identify the true source of an issue and guide the right response.
• Adaptive learning. Agents draw from past investigations to refine future recommendations, improving detection accuracy and decision quality over time.
• Multi-system access. By securely integrating with the tools your team uses everyday, agents provide complete context without requiring teams to switch systems or duplicate work.
• Governed intelligence. Role-based access, permission-aware indexing, and built-in auditability ensure that every action aligns with organizational policies and compliance standards.

Glean’s Work AI platform supports all of these capabilities by design. With 100+ connectors and real-time permission syncing, it gives security teams a foundation to build agents that are powerful, secure, and scalable.

11 AI agents supporting every stage of the alert lifecycle

Security teams today face three persistent challenges:

• Too much noise. False positives and alert overload make it hard to prioritize what matters most.
• Disconnected data. Critical insights live across ticketing tools, monitoring systems, and collaboration channels.
• Manual processes. From writing incident reports to cross-referencing historical cases, analysts spend hours on repetitive work that delays remediation.

These pressures have direct consequences: slower mean time to detect (MTTD), longer mean time to respond (MTTR), and higher exposure to risk.

Every security alert moves through a lifecycle, from initial detection to post-incident learning. The 11 AI agents below map to each of these stages, automating key steps and connecting the dots across tools to reduce noise, speed up investigation, and strengthen overall response.

Use these examples as inspiration for how agents built on Glean’s Work AI platform can securely connect your tools, understand context, and deliver meaningful results across every stage of security operations.

Ingest and normalize

Security data is collected from multiple sources (logs, endpoints, and monitoring tools) to create a consistent, unified foundation for analysis and response. Normalization ensures every downstream system works from the same accurate, permission-aware data.

Device posture check

Monitors endpoint compliance to surface vulnerabilities before they lead to security incidents.

• Problem to solve: Maintaining real-time visibility into device configurations and patch status is a constant challenge for security and IT teams. Limited visibility increases the likelihood of gaps that expose the organization to risk.
• What it does: Connects to endpoint and configuration management tools through Glean’s MCP host to pull configuration and vulnerability data. Correlates endpoint data from connected EDRs and management systems to flag noncompliant assets and highlight remediation priorities based on severity and business impact.
• The impact: Enables continuous monitoring and proactive defense. Teams can address risks earlier, reduce exposure time, and strengthen overall device security posture.

Context enrichment

Add detail to alerts by linking them to users, assets, and historical incidents. With context layered in, analysts can immediately distinguish what’s relevant, what’s routine, and what demands action.

Identify incident experts

Connects teams with the right expertise faster by identifying who’s handled similar issues before, using Glean’s understanding of people, roles and teams across the enterprise graph.

• Problem to solve: When new incidents arise, teams often spend too much time finding the right people to consult, slowing response and risking duplicated work.
• What it does: Uses Glean’s enterprise graph to understand people, teams, and prior involvement, then surfaces subject-matter experts based on historical post-mortems, tickets, and documentation discoverable via Glean Search.
• The impact: Makes collaboration immediate. Teams can engage proven experts early, reuse effective approaches, and accelerate incident resolution while strengthening knowledge sharing across the organization.

Auto-group, de-duplication, and fetch historical info

Identify relationships between alerts and automatically merge duplicates to reduce noise. Surface past activity and connected events so teams can see the full picture before diving into investigation.

Incident correlation

Connects related alerts and tickets to help security teams uncover the root cause faster.

• Problem to solve: Analysts spend significant time triaging similar alerts across multiple tools, often missing connections between events that stem from the same issue.
• What it does: Links alerts, tickets, and telemetry from systems like Jira, ServiceNow, and Slack to identify patterns and group incidents with shared origins. The agent aggregates evidence, surfaces related activity, and summarizes the most relevant context for triage.
• The impact: Reduces alert fatigue and shortens investigation time, allowing analysts to focus on verified threats instead of duplicate noise.

Open security-related tickets 

Provides instant visibility into every active security issue tied to a specific customer, asset, or system.

• Problem to solve: Security teams often manage tickets across multiple tools, making it difficult to see related issues in one place or prioritize them effectively.
• What it does: Pulls all open tickets from connected systems like Jira and ServiceNow, grouping them by asset, severity, or customer. Presents a unified view of ongoing investigations so analysts can assess dependencies, assign owners, and escalate quicker.
• The impact: Improves visibility and coordination across teams. Analysts can act on the full scope of open risks, ensuring no critical issue goes overlooked.

Risk scoring and severity determination

Assess the potential impact of each alert based on telemetry, asset importance, and business context. This stage helps prioritize what matters most, guiding resources toward the highest-risk issues first.

Security issue impact 

Evaluates the potential scope and business impact of emerging security issues to guide faster decisions.

• Problem to solve: Assessing the true severity of a vulnerability often requires pulling data from multiple systems. This can be a slow process that delays response and lead to misaligned priorities.
• What it does: Analyzes telemetry, asset inventories, and historical ticket data to determine likely blast radius, affected users, and potential business impact. Synthesizes this information into a clear summary with recommended next steps.
• The impact: Equips security leaders with evidence-based insight to prioritize remediation effectively and allocate resources where they matter most.

Containment decision

Recommend actions to isolate or mitigate threats while maintaining compliance with organizational policies. The goal is to act fast and confidently, with clear guidance grounded in verified procedures.

Incident response process 

Helps security teams respond quickly and consistently by guiding them through approved playbooks — or, creates a tailored template playbook if one doesn’t exist.

• Problem to solve: During incidents, responders often rely on fragmented documentation or past experience to determine next steps, leading to inconsistent remediation and slower resolution.
• What it does: Retrieves the right playbook for scenarios such as account compromise, lateral movement, or privilege escalation from connected knowledge and ticketing systems like ServiceNow, walking analysts through step-by-step actions. If no playbook exists, Glean drafts a tailored template informed by the issue type and the customer’s connected systems.
• The impact: Improves speed, consistency, and compliance in incident response. Every analyst follows the same verified process, reducing oversight and ensuring investigations close efficiently.

Document evidence and analyst notes

Capture key investigation details — actions taken, data reviewed, and outcomes — as work happens. Documentation at this stage ensures every response is complete, auditable, and easy to revisit.

Incident response documentation 

Automates documentation so every investigation is captured accurately and ready for review.

• Problem to solve: During active incidents, documentation often lags behind real-time investigation, leaving gaps in evidence and inconsistencies in reporting.
• What it does: Creates incident summaries, evidence logs, and post-incident reports automatically. As analysts work, the agent records activity timelines, related tickets, and collaboration threads from tools like ServiceNow, Slack, and Jira.
• The impact: Accelerates documentation and audit readiness. As analysts update tickets or collaborate in Slack, Glean captures timelines, summarizes findings, and generates post-incident reports aligned with company standards.

Timeline reconstruction

Consolidate evidence and analyst activity into a single narrative of what occurred, when, and why. This stage builds a comprehensive view that informs post-incident reviews and future prevention efforts.

Post-mortem creation and containment 

Standardize incident recovery by automating documentation and guiding teams through consistent containment steps.

• Problem to solve: After a security event, documenting what happened and coordinating response tasks can be slow and inconsistent, especially when information is scattered across tools.
• What it does: Collects evidence from prior incidents, related tickets, and communication channels to draft post-mortems automatically. Generates follow-up tasks aligned with containment and recovery policies to ensure complete closure and audit readiness.
• The impact: Improves recovery speed and consistency. Every incident becomes a source of insight, strengthening preparedness and organizational resilience over time.

Eradication and recovery

Guide remediation efforts and restoration steps to ensure systems return to a secure, compliant state. This phase focuses on resolving the root cause, verifying cleanup, and strengthening defenses.

BC/DR navigation

Provides real-time guidance through business continuity and disaster recovery procedures during major incidents.

• Problem to solve: In the midst of a critical event, teams must act quickly while following complex continuity and recovery protocols. Locating the right information and ensuring compliance can be difficult when every minute counts.
• What it does: Surfaces relevant BC/DR policies, recovery steps, and responsible owners from connected systems and shared drives. Guides teams through each phase of the recovery process with policy-aligned checklists and clear next actions.
• The impact: Improves response clarity and compliance during high-stakes events. Teams can restore operations faster, communicate with confidence, and maintain adherence to recovery standards.

Fine tuning and content enrichment to reduce false positives

Refine alert logic and rules based on validated incidents to reduce noise over time. By learning from real outcomes, security teams make detection models smarter and more resilient.

Security awareness campaign 

Promotes continuous security awareness by automating communications and training based on real incident trends.

• Problem to solve: Even with strong defenses, many breaches stem from human error or lack of awareness. Security teams need scalable ways to reinforce best practices and close behavioral gaps across the organization.
• What it does: Analyzes incident data to identify recurring issues or emerging threats, then automatically creates reminders, targeted messages, or training prompts. Integrates with collaboration tools to reach employees in their flow of work.
• The impact: Transforms resolved incidents into proactive education. Every campaign strengthens the organization’s collective security mindset and helps reduce repeat issues over time.

Metric calculation

Measure the effectiveness of detection and response activities using data from previous stages. Insight into performance, coverage, and risk reduction helps drive continuous improvement across security operations.

Customer risk analysis

Quantifies and contextualizes security risk by customer, account, or application to guide strategic prioritization.

• Problem to solve: Understanding where the highest risks exist often requires manually consolidating telemetry from multiple tools. This slows reporting and makes it difficult to communicate exposure accurately across the organization.
• What it does: Analyzes aggregated telemetry, asset data, and incident trends to calculate probability, potential impact, and recommended mitigation steps. Presents findings in a clear, permission-aware summary that’s easy to share with stakeholders.
• The impact: Empowers security leaders to prioritize resources based on verified data and communicate exposure levels confidently to executives and partners.

Beyond AI agents: How Glean connects every part of security operations

Security AI agents automate specific workflows. Together with Glean Search and Glean Assistant, they form a single, connected system that helps teams find knowledge and act on it

Glean Search connects to every source in your security ecosystem, from ticketing tools and documentation systems to monitoring dashboards, delivering permission-aware answers in seconds. Analysts can instantly find relevant SOPs (standard operating procedures), prior incident reports, or asset details without switching systems or risking data exposure.

Glean Assistant makes that knowledge conversational, allowing teams to ask questions like “What are the current SOPs for lateral movement response?” or “Who handled the last privilege escalation incident?” and get verified, contextual answers drawn directly from internal knowledge bases.

Together, Search and Assistant reduce friction across investigations. They help teams move quicker, preserve compliance, and ensure that every response is guided by complete, governed knowledge.

Why security teams choose Glean

AI agents are only as effective as the data and context they’re built on. Glean’s Work AI platform gives security teams a foundation that’s secure, scalable, and proven — helping them adopt AI responsibly across every part of their operations.

Enterprise-grade security

Glean enforces existing data permissions and keeps access tightly controlled across every integrated tool. All insights are governed by real-time permission syncing, audit logging, and compliance with standards like SOC 2 Type II, ISO 27001, and GDPR, ensuring sensitive data stays protected at all times.

Fast time-to-value

With 100+ connectors, Glean integrates directly into existing workflows. Security teams can start seeing measurable improvements in visibility, detection, and documentation within weeks, without complex setup or data migration.

Flexible AI infrastructure

Glean supports a range of AI models and retrieval frameworks, enabling security teams to safely analyze sensitive information while maintaining full control over their data. Its hybrid RAG architecture ensures every answer is grounded in trusted, enterprise-approved sources.

Proven results at scale

Glean drives measurable operational and business impact. In a Forrester Total Economic Impact™ study, companies using Glean saw a 141% return on investment over three years, with millions saved through increased productivity and faster onboarding.

By turning fragmented security data into a connected layer of intelligence, Glean gives leaders the clarity to act with speed, strengthen governance, and operate with confidence at scale.

The future of security is built on trusted intelligence

Every security team shares the same mandate: act fast, stay compliant, and protect the organization’s most valuable data. What’s changing is how that mandate gets fulfilled. Security is becoming more connected, deliberate, and informed — with AI now embedded in how teams detect, investigate, and respond. That foundation of knowledge strengthens every decision.

When intelligence is built on verified data and governed access, trust becomes measurable. It shows up in every alert, action, and audit trail. Glean helps security teams reach that level of confidence by unifying knowledge across tools and guiding responses with precision and accountability.

‍Request a demo to see how Glean helps organizations strengthen security operations with AI built on trust.