Context Memory

Overview

Context Memory in Dropzone AI captures and distills institutional knowledge—details that aren’t directly observable in security telemetry, but that experienced analysts and documented processes consider essential to investigations.

It augments the AI SOC Analyst’s understanding of alert entities with learned organizational facts, reducing manual research and accelerating decision-making.

This guide outlines recommended practices for structuring, populating, and maintaining Context Memory, as well as its operational behavior and limitations.

Purpose and Role in Investigations

Context Memory enables Dropzone’s AI SOC Analyst to incorporate organization-specific knowledge during investigations. It supports:

• Answers to broad investigative questions such as:
  “Is there anything notable in our organization’s background about these IPs or domains?”
• Entity-specific enrichment as investigations progress

The AI SOC Analyst is designed to operate like an experienced human analyst—correlating alerts, querying tools, and drawing conclusions. Context Memory enhances this capability by tailoring analysis to your environment.

Context Memory should be used to capture facts about entities, such as:

• What something is
• Who owns it
• How it is typically used

If you find yourself encoding workflows, decision trees, or if/then logic, you are likely designing a Custom Strategy, not Context Memory.

Best Practices

Build Context Memory Like a Senior Analyst Guiding a Junior

Context Memory becomes more valuable over time, much like a junior analyst improving through experience and mentorship. Knowledge is added in three primary ways:

Learning from Investigations

When an analyst:

• Confirms an alert as Malicious
• Changes a verdict to Malicious or Benign

…the outcome and supporting notes are synthesized into Context Memory.

When providing feedback, specificity matters:

• ✅ “Application Foo is allowed in our environment”
• ✅ “Emily Eaton is approved to run certutil.exe”
• ❌ “This is allowed”

Specific facts teach the system far more than vague approvals.

Manual Notes and Guidance

Teams can manually add facts to Context Memory, similar to how senior analysts write notes or runbooks.

Examples:

• “Device hostname honeycomb is our honeypot for external attackers”
• “This AWS account is used exclusively for development testing”

Manual entries are ideal for clarifying known exceptions or environmental nuances.

Automated Ingestion

Institutional knowledge can be backfilled using exports from systems such as:

• Confluence
• Jira
• ServiceNow

These sources can be programmatically ingested into Dropzone.

Focus on high-value, low-visibility information—facts that analysts rely on but do not appear in telemetry or alerts.

As with new-hire training, early investment in Context Memory during onboarding provides a strong foundation for long-term effectiveness.

Structure Context Memory by Operational Relevance

To improve precision and recall during investigations, organize Context Memory into clear operational domains. Recommended categories include:

• External Network
  Company-owned IPs, domains, approved VPNs, office locations
• Internal Infrastructure
  Guest or test systems, development cloud accounts
• IT Administration
  Break-glass admin roles, remote access tooling
• Security Testing
  Red/blue team IP ranges, known scanners, simulated hosts
• Cloud Environments
  Automation roles, provisioning systems
• Third Parties
  Trusted domains, federated identities, partner systems
• Custom Applications
  Internal software, tools prone to false positives
• Travel and Location Context
  Corporate travel events, remote work locations

Clear structure enables better context linking and more confident triage decisions.

Keep Memory Fresh and Focused

• Continuously learn
  Incorporate new alerts, analyst decisions, and investigation outcomes over time.
• Provide high-quality feedback
  Specific investigation feedback gives the AI better training signals.
  Feedback events can be exported in real time via Response Automations.
• Perform periodic audits
  Remove stale entries, consolidate duplicates, and refine wording to maintain clarity.

Regular maintenance prevents confusion during investigations and improves analyst confidence in AI outputs.

Operational Behavior

Context Memory serves two primary functions during investigations:

Proactive Query Support

When analyzing an alert, the AI checks whether known facts in Context Memory relate to involved entities such as IPs, domains, or instance IDs.

Contextual Skill Chaining

As investigations deepen, the AI uses Context Memory to answer follow-on questions, such as:

• “Is this domain internal?”
• “Is this system expected to generate this activity?”

This layered approach ensures Context Memory adds value throughout the entire investigation lifecycle.

Limitations and Considerations

Coverage Is Only as Good as the Input

If Context Memory is incomplete or stale, the AI may reference gaps or outdated facts.
While this does not prevent investigations from completing, it can reduce confidence or clarity.

Facts, Not Analysis

Context Memory is a source of evidence, not decision logic.

Example:

• A VPN provider may be generally allowed
• A specific use of that VPN may still be suspicious

When you need to encode logic or influence conclusions broadly, use Custom Strategies.

Semantic, Not Exact Matching

Context Memory relies on semantic similarity, not exact string matches. This means the AI:

• Can retrieve relevant facts even when terminology differs
• May apply higher-order concepts across contexts
  (e.g., “Engineering team is based in North America” influencing analysis of an IT admin login from Paris)
• May occasionally surface irrelevant facts that lead to dead ends

Cannot Answer All Questions

Context Memory does not replace:

• Threat intelligence
• Direct access to security systems (EDR, SIEM, CSP)
• Complex behavioral correlation

It complements these capabilities rather than substituting for them.

Conclusion

Context Memory empowers Dropzone’s AI SOC Analyst to bring institutional knowledge into every investigation.

By curating relevant facts, structuring them for fast recall, and continuously refining the memory corpus, teams can:

• Accelerate triage
• Reduce manual research
• Improve investigation quality

When properly maintained, Context Memory becomes an extension of your most seasoned analyst—available in every investigation.