Agentic AI in Cybersecurity: The VistaroAI Shift

Discover how agentic AI with pre-programmed skills transforms SOC operations, reduces MTTR, and ensures security compliance.

12 min read
February 2026
Agentic AI in Cybersecurity: The VistaroAI Shift illustration

This week, Forescout launched VistaroAI, and it signals a critical pivot in how we think about autonomous systems in production. Unlike the wave of general-purpose "copilots" that simply chat with your data, VistaroAI introduces agentic AI with pre-programmed security skills and human-in-the-loop control.

Plavno’s Take: What Most Teams Miss

At Plavno, we see a recurring failure pattern when teams try to build internal security agents: they wrap a generic LLM (like GPT-4 or Claude) around their SIEM API and call it a day. This is a dangerous oversimplification.

What This Means in Real Systems

Architecturally, the launch of VistaroAI validates the "Hybrid Agent" pattern we have been advocating.

  • Ingestion & Normalization: Logs from endpoints, firewalls, and cloud providers are normalized.
  • The Orchestrator: The LLM acts as an orchestrator, not an executor.
  • The Execution Layer: The agent passes parameters to the Skill.
  • Human-in-the-Loop (HITL): Execution is gated by analyst approval.

Why the Market Is Moving This Way

The market is shifting toward pre-programmed skills because the "Prompt Engineering" phase has hit a wall in enterprise security.

Business Value

MTTR Reduction: Agents can perform enrichment in seconds.

Cost Efficiency: Automating Tier 1 triage doubles throughput.

Risk Reduction: Pre‑programmed, vetted skills prevent rogue actions.

Real-World Application

1. Automated Incident Triage and Enrichment – A financial services client implements an agent that monitors their SIEM.

2. Patch Management Prioritization – An agent scans the environment for unpatched software.

3. Cloud Misconfiguration Remediation – An agent monitors AWS infrastructure.

How We Approach This at Plavno

We treat AI agents as software components that require the same rigor as a payment gateway.

First, we define the "Blast Radius." Every agent has a strictly scoped IAM role.

Second, we implement the "Plan-Review-Execute" loop.

Finally, we focus heavily on observability.

What to Do If You’re Evaluating This Now

Audit your APIs, demand skill transparency, test the "No" scenario, and build for idempotency.

Conclusion

The launch of Forescout’s VistaroAI is a clear signal that the industry is maturing past the hype of generic chatbots.

We implement similar rigorous patterns in our AI security solutions to ensure that every action can be rolled back and reviewed.

Our expertise in custom software development enables us to build the necessary integrations.

Through AI automation, we streamline repetitive tasks.

Our team also offers cybersecurity and penetration testing services.

Renata Sarvary

Renata Sarvary

Sales Manager

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Frequently Asked Questions

Agentic AI in Cybersecurity FAQs

Common questions about agentic AI in security operations and how to implement it safely.

What is the difference between generic LLMs and agentic AI in cybersecurity?

Generic LLMs are probabilistic engines designed for chat and analysis, often prone to hallucinations. Agentic AI uses pre-programmed, deterministic skills to execute specific security actions, ensuring precision and safety in high-stakes environments.

How does agentic AI reduce Mean Time to Respond (MTTR)?

Agentic AI automates Tier 1 triage tasks, such as querying threat intelligence APIs and correlating logs. This allows systems to enrich alerts and suggest remediation in seconds rather than the 15-30 minutes a human analyst might take.

What are pre-programmed skills in AI security agents?

Pre-programmed skills are hard-coded, tested subroutines (like containerized microservices or Python scripts) that an AI agent can call upon. They perform specific actions, such as isolating an IP or revoking a session, ensuring the agent operates within verified constraints.

Why is human-in-the-loop (HITL) control important for AI agents?

HITL control acts as a safety gate where critical actions generated by the AI must be approved by a human analyst before execution. This prevents 'rogue AI' actions, ensures accountability, and aligns with regulatory requirements like GDPR and SOC2.

What are the business benefits of deploying agentic AI in SOC operations?

The primary benefits include significant reductions in MTTR, operational cost efficiency by automating routine triage, and risk reduction by restricting AI capabilities to vetted, auditable skills.