Pondurance Launches Pondurance Kanati(™): The Industry’s First Agentic AI SOC Designed for Autonomous Operations in a Next-Generation Managed Detection and Response Service

Why It Matters

Kanati’s autonomous approach slashes response times and operational costs, giving mid‑market firms security that matches the speed of AI‑enabled adversaries. Its governance model also addresses regulatory concerns around AI‑driven cyber defenses.

Key Takeaways

• Agentic AI SOC automates high‑confidence threat containment.
• Response times 90% faster, under two minutes average.
• False positives cut by 80%, boosting analyst efficiency.
• Processes over 60 TB daily across multiple environments.
• Data stays within Amazon Bedrock, ensuring tenant isolation.

Pulse Analysis

The rise of agentic AI marks a turning point for security operations, moving beyond rule‑based automation to systems that can make independent, high‑confidence decisions. Traditional SOCs rely on human analysts to triage alerts, a process that often creates bottlenecks and extends dwell time. Pondurance’s Kanati introduces an AI‑native operating model where machine‑speed defense is the baseline, allowing analysts to act as supervisors rather than first responders. This shift reflects a broader industry trend toward autonomous threat containment to keep pace with adversaries that already leverage AI.

Kanati’s performance claims—90% faster threat analysis, average investigation times under two minutes, and an 80% reduction in false‑positive tickets—translate into tangible cost savings and higher analyst productivity for mid‑market organizations. By ingesting and normalizing over 60 TB of daily telemetry across endpoints, networks, cloud, and identity platforms, the platform delivers ten‑fold improvements in contextual enrichment. Its use of Amazon Bedrock ensures that customer data remains isolated within a single tenant, addressing compliance worries while avoiding the pitfalls of AI drift and hallucinations that plague many AI‑only SIEM solutions.

Beyond immediate operational gains, Kanati sets a new benchmark for trust, governance, and transparency in AI‑driven cybersecurity. Every automated decision is logged, policy‑bound, and auditable, providing an explainable AI trail that satisfies regulatory scrutiny. As more enterprises seek to modernize their SOCs, the balance between autonomous action and human oversight demonstrated by Kanati will likely become a template for future MDR offerings. Companies that adopt such agentic solutions can expect faster breach containment, lower operational overhead, and a more resilient security posture in an increasingly AI‑powered threat landscape.