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SolarWinds Introduces Avior to Bring Deterministic, Agentic AI to IT Environments

SolarWinds has announced Avior, a standalone, goal-oriented agentic AI platform engineered for mission-critical IT infrastructure. Built directly on the SolarWinds platform, Avior empowers IT departments to set explicit objectives, deploy specialized autonomous agents, and monitor verifiable outcomes across complex hybrid estates.

Modern technology environments have grown increasingly intricate and vital to daily business functions. Unpredictable or hallucinated AI outputs present genuine hazards and steep hidden expenses—burdens organizations routinely bear through downtime, compliance violations, and lost engineering productivity. In operations where uptime and security are non-negotiable, enterprise AI must deliver quantifiable improvements in cost efficiency, reliability, and risk mitigation.

Avior addresses this challenge by handling frontline operational workloads, freeing engineers to focus on higher-level initiatives while systematically maintaining the health of growing digital estates. Running as an independent application across multi-vendor tools and architectures, Avior evaluates incidents through an operator’s lens, diagnosing issues and achieving cross-environment objectives using deep root-cause analysis.

Enterprise AI Centered on Control and Trust
Engineered with stringent safety mechanisms, Avior incorporates tiered autonomy to mandate explicit human authorization before executing high-impact or potentially disruptive changes. Anchored in SolarWinds’ AI by Design framework for responsible development, the platform protects production environments while keeping engineers in command via complete audit logging, objective monitoring, automated rollback triggers, sensitive data masking, and role-based, least-privilege tool execution.

The architecture relies on three core tenets to maintain safety in mission-critical deployments:

  • Goal-Oriented: Operates within a continuous feedback loop geared toward measurable operational targets.
  • Transparent: Expresses logic, diagnostic findings, and planned interventions in plain, auditable language that operators can verify.
  • Controlled: Provides fine-grained policy governance over agent autonomy at every level of operation.

Key Capabilities for Enterprise Operations
Avior unites the analytical power of AI with deterministic execution pipelines that carry out predefined goals within auditable boundaries. This approach gives engineering teams a reliable, repeatable bridge between diagnosis and action. Avior immediately enables teams to automate several critical IT workflows:

  1. Suppress Alert Fatigue: Group related operational signals into single actionable incidents, allowing teams to address root causes rather than triaging alert backlogs.
  2. Enforce Compliance Policies: Continuously audit network configurations and host baselines against regulatory standards, surfacing deviations with full change logs.
  3. Resolve Configuration Drift: Identify unapproved out-of-band updates and automatically restore the last-known-good state on critical systems.
  4. Guarantee Backup Coverage: Schedule automatic snapshots and backups of live device configurations, alerting administrators if any asset drops out of policy.
  5. Optimize Capacity and Expenses: Track compute consumption and cloud expenditures against targeted headroom targets, remediating bottlenecks before they cause downtime or billing spikes.
  6. Streamline Asset Lifecycles: Decommission obsolete “ghost” records that create dashboard clutter, while continuously monitoring inventory status, firmware versions, and end-of-life timelines.

“When AI exists in mission critical IT work, enterprises need this technology to graduate from virtual assistant to trusted teammate,” said Krishna Sai, Chief Technology Officer at SolarWinds. “Avior grounds probabilistic models in deterministic execution, so operators stay in control of high-risk decisions. That is how IT shifts from managing alerts to orchestrating resilient, goal-driven operations.”

“This goes beyond model access,” Sai added. “It is operational context and governed execution. Twenty-five years of understanding how these environments actually behave is encoded in the goals, skills, and tools inside Avior.”

“IT operations have long been measured by how quickly teams can respond,” said Cullen Childress, Interim CEO and Chief Product Officer at SolarWinds. “But as environments become more complex, distributed, and noisy, reaction time alone is no longer enough. Organizations need to move proactively, reduce operational risk, and build resilience into the way IT work gets done. Avior was designed to meet this moment, helping teams shift from managing alerts to orchestrating outcomes with clear goals, guardrails, and control.”

“I’m especially excited to bring Avior to our channel partners, who drive all of our business in the Middle East. They already run the hybrid, compliance-heavy environments that the region’s largest banks, government entities and telcos rely on, and Avior’s auditable, risk-gated approach gives them a trusted way to introduce agentic AI into those estates. The guided onboarding program lets them start with clear outcomes, such as compliance and configuration control, then grow from there,” said Abdul Rehman Tariq Butt, Regional Director – Middle East at SolarWinds.

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Chris Fernando

Chris N. Fernando is an experienced media professional with over two decades of journalistic experience. He is the Editor of Arabian Reseller magazine, the authoritative guide to the regional IT industry. Follow him on Twitter (@chris508) and Instagram (@chris2508).

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