Pricing

Audit historical logs with CIRCL Hash Lookup

Swiftask automates log cross-referencing against the CIRCL database. Instantly identify malicious hashes hidden in your archives.

Result:

Save days of forensic work. Turn dormant logs into actionable security intelligence.

Manual log auditing is a security dead-end

Organizations accumulate terabytes of logs. When an incident occurs, correlating these archives with known threats is a massive challenge. Manual auditing is slow, error-prone, and often neglected due to resource constraints.

Main negative impacts:

Undetected compromise risks: Malicious files detected today could have been present in your logs for months without your knowledge.
High operational costs: Mobilizing a security team to manually scan archives is extremely expensive and inefficient.
Lack of proactive response: Without automation, your logs are just for archiving rather than prevention or post-incident remediation.

Swiftask connects your storage systems to CIRCL Hash Lookup. Your AI agents automatically scan your historical logs to identify suspicious hashes in record time.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A threat alert is received. The security team must manually extract hashes from thousands of logs, submit them one by one to search tools, and hope to find a match. This takes days.

With Swiftask + CIRCL

The Swiftask agent crawls your logs, extracts hashes, and automatically queries CIRCL Hash Lookup. You receive a consolidated report of positive matches in minutes.

Automating the audit in 4 steps

STEP 1 : Define log source

Connect your log storage or SIEM to Swiftask.

STEP 2 : Configure CIRCL connector

Enable the CIRCL Hash Lookup integration in the no-code Swiftask interface.

STEP 3 : Run intelligent scan

The AI agent extracts hashes and launches optimized queries.

STEP 4 : Analysis and alerts

Receive a detailed report of threats identified in your archives.

Forensic analysis capabilities

The agent processes files, metadata, and log entries to extract relevant hashes.

Target connector: The agent performs the right actions in circl hash lookup based on event context.
Automated actions: Recursive archive scanning, known hash filtering, correlation with CIRCL, audit report generation.
Native governance: The confidentiality of your logs is maintained throughout the analysis process.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-circl-hash-lookup@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Benefits of automated auditing

1. Retrospective detection

Identify past threats before they cause greater damage.

2. Massive time savings

Automate repetitive hash search tasks.

3. Enhanced compliance

Demonstrate proactive log auditing capabilities for regulatory requirements.

4. Technical precision

Eliminate human errors associated with manual data handling.

5. Scalability

Analyze years of logs as easily as a recent day.

Security and compliance

Swiftask applies enterprise-grade security standards for your circl hash lookup automations.

Data encryption: Your logs are processed in a secure and encrypted environment.
Restricted access: Granular control over users authorized to launch audits.
Swiftask audit logs: Every search in CIRCL is tracked for your internal governance.
Independence: Compatible with your current storage tools.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Audit performance

Metric	Before	After
Analysis time	Several days	A few minutes
Accuracy	Risk of oversight	Total exhaustiveness
Cost	Human intensive	AI-optimized
Coverage	Limited	Full

Take action with circl hash lookup

Save days of forensic work. Turn dormant logs into actionable security intelligence.

Incident response: speed up threat triage with CIRCL

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