THE COMPLETE AI SOC PLATFORM

Most AI closes the alert. Panther closes the loop.

Every alert investigated. Every outcome stored. Every detection sharper than the last.

The legacy SOC was assembled, not designed.

Your stack is in pieces, and context is missing. Cloud security logs, EDR portals, and MDR consoles each exist in silos with no central view. Analysts manually piece context together, often missing critical details.

Your incumbent costs more every quarter, without showing more value. AI bolted onto legacy SIEM doesn't fix the math underneath. The bill continues to grow while value does not.

AI should make the entire system smarter, not just summarize findings. AI bolted onto fragmented data automates the work but never shrinks it. You need a platform natively built for agents.

The modern agentic SOC

Panther was built differently. Not AI bolted onto legacy SIEMs and SOARs, not agents cobbled together across fragmented data sources. Purpose-built from day one to make agents smarter and the platform stronger over time.

Detection engineering, multiplied.

Senior engineers ship faster, junior contributors build real experience, and the agent handles the repetitive work, with detection quality governed at every step.

Proactive coverage, on a schedule.

Coverage grows continuously. Agents hunt the full data lake on a regular cadence, surfacing findings that flow into new detections through a governed workflow.

Auto triage and learn.

Every alert is investigated with full context. Confirmed benign alerts close automatically, and every outcome improves the next investigation. Volume actually shrinks.

Investigation and response with full context.

When a finding escalates, the agent assembles the full investigation across multiple systems. Analysts review and guide agentic runbooks to take action.

“With Panther’s SIEM and AI SOC, we were able to stand up a fully deployed, in-house enterprise SOC in a matter of weeks.”

Spencer McGalliard

AVP, Cyber Defense & Engineering

See how Panther closes the loop in the SOC.

Watch how a single alert or hunt becomes a closed investigation, a tuned detection, and makes the entire system smarter over time.

Use natural language to auto-create detections.

Every agentic action is fully reviewable, editable, and directed by your team. No black box.

Human-in-the-Loop Control

Human approval required for every write, with every AI action logged and reviewable.

Proof from teams who’ve been there.

• 85%

Fewer alerts reaching the queue because outcomes suppress repeat alerts

• “Truly the next generation of Security Logging and Monitoring”

  Soumitr P.
  Tech Lead Security (>500 emp.)

• “Panther AI allowed our security team of 5 engineers to act as though they were 20 engineers.”

• “Best SIEM on the market”

  Kyle Jerome T.
  Solutions Architect (< 50 emp.)

• “Panther learns from how our analysts respond. That's what actually closes the loop.”

• “A SIEM That Works the Way Security Teams Do”

  Michael K.
  Engineering Manager, Security (>500 emp.)

• “A giant in the SIEM space”

  Zhel P.
  Sr. Detection & Response Engineer (>500 emp.)

Your data plane. Your choice.

Two deployment models, one platform. The choice is where your data lives, not which Panther you get.

CONNECTED

Bring your own cloud or data lake. Panther runs inside your AWS account, against your Snowflake or Databricks. Your security data stays in your warehouse, and the detection engine, workflows, and agents operate against it in place.

HOSTED

Panther operates a managed cloud. Fully managed by Panther, with your data ingested into a dedicated, isolated environment. The fastest path to value when there's no internal data warehouse mandate or when single-vendor operations matter most.

Frequently asked questions

What is Panther?

Panther is an AI SOC platform. It ingests and normalizes logs at petabyte scale, lets your team write detection rules in Python or automatically creates detections using AI / natural language, and surfaces threats in real time, without the infrastructure burden or unpredictable costs of legacy platforms.

Do we need a dedicated detection engineering team to use Panther?

No. Teams with detection engineers get the full power of Detection-as-Code — Python rules, version control, CI/CD workflows. Teams without them can start with Panther's built-in detection library and AI Detection Builder, then grow into custom rules over time.

Can Panther replace our existing SIEM / SOC?

Yes and many customers migrate from Splunk, Sumo Logic, or Elastic. Panther is particularly well-suited for AWS-heavy environments and teams who want to treat detections like software.

How does Panther handle data retention and compliance?

Panther uses a security data lake architecture, giving you flexible, cost-effective long-term retention. You own your data and can query it at any time. Retention policies are configurable to meet compliance requirements.

What integrations does Panther support?

Panther connects to cloud platforms (AWS, GCP, Azure), SaaS tools, endpoints, and network devices. Alerts route to Slack, Jira, PagerDuty, and more. For orchestration and response, Panther provides agentic workflows and runbooks or integrates with external SOAR platforms.

How long does it take to deploy?

Most teams are ingesting logs and running detections within days, not months. The main work is integrations, data validation, and tuning, not infrastructure setup.

What kind of cost savings can we expect?

Results vary, but customers have documented significant savings: Cockroach Labs cut SecOps costs by over $200K while processing 5x more data; Zapier saves $400K annually with a 3.5x increase in log monitoring coverage.

Bolt-on AI closes alerts. Panther closes the loop.

Detect, investigate, and respond to threats at cloud scale — powered by code and AI.