Agentic NetOps
Speed is the new risk. AI is the equalizer.
Feeling the pressure of machine-speed exploits, complexity at scale, and resource scarcity? Trustworthy AI is your competitive edge.
Reshape Network Operations with AI
Advance your NetOps team from basic automation to AI-powered, human-in-the-loop operations with Kilter AI.
- Enriched Data Aggregation
- Kilter provides a normalized, AI-curated data feed that combines CVE data from CISA, NCD, NIST, and numerous vendor advisories, replacing fragmented, manual lookups.
- CVE Workaround Insights & Remediation
- AI translates vendor-published workarounds into context-aware remediation guidance. A "Build Chain" action creates an editable workflow to accelerate remediation with human approval.
- Mapped & Unmapped CVE Visibility
- View mapped CVEs (affecting your devices now) alongside unmapped CVEs (potential future vulnerabilities), enabling proactive risk management instead of reactive firefighting.
- Multi-vendor Compliance Checks
- Automatically evaluate device configurations across all managed vendors against policies, and identify when a fix for one device type should be applied to similar devices from other vendors.
- Automation Creation Assistant
- Kilter AI quickly generates production-ready automation tasks and workflows from CLI commands to simplify automation creation while ensuring human approval before execution.
Trusted by
Our customers can’t stop talking about us
“BackBox simplifies and automates configuration management for network devices, addressing challenges associated with manual processes, diverse vendor environments, efficiency, compliance, risk reduction, and capacity optimization.”
— Enterprise, >1,000 employees “The vulnerability intelligence capability in BackBox is also valuable, as it identified a CVE on our edge firewalls even before our last pen test.”
— Sr. Network Engineer, IT services, Mid-market, 51-1000 employees “BackBox maintains an accurate log of every change, providing a safety net for our team and allowing newer technicians to handle tricky tasks confidently.”
— System admin, Higher Ed, >1,000 employees “BackBox provides reliability and security without extra complexity, which is important for keeping the network healthy.”
— Network engineer, Computer Hardware, 50 or fewer employees “Manual configurations are error-prone, and BackBox solves that. Repetitive jobs like backups, audits, and checks can be fully automated with minimal effort.”
— Mid-market, 51-1000 employees
FAQs
Frequently Asked Questions About Agentic NetOps
How do I know if I can trust BackBox’s approach to AI?
BackBox has approached AI with four guiding principles that reflect our unwavering commitment to the ethical development and deployment of AI:
- Building trustworthy AI that emphasizes responsibility, safety, and security.
- Providing consistent and accurate results while continuously enhancing the AI's performance and the reliability of its outputs.
- Ensuring human-centered control by viewing AI as a trusted advisor rather than the sole decision-maker.
- Providing transparency and clarity about how AI generates responses and recommendations, understanding what data is being used, and making this information accessible and understandable to all users and stakeholders.
What sets Kilter AI apart from other agentic NetOps offerings?
BackBox has been developing the data foundation and automation engine that agentic NetOps needs for over a decade. Through this process, we have developed a deep understanding of the AI journey for network infrastructure teams, including specific use cases and requirements. The Kilter platform combines AI-enriched vulnerability data, multi-vendor automation, and a human-in-the-loop design philosophy to responsibly drive network teams toward autonomous operations.
This approach to agentic NetOps enables Kilter to:
- Create AI agents to perform complex tasks across multi-vendor environments.
- Ensure AI agents deliver high-quality data for fast, trusted decision-making.
- Offer a phased model with human-in-the-loop and human-on-the-loop network actions.
- Support intent-based networking so that users can interact with no coding required, and agents translate intents into specific actions.
In contrast:
- Some device manufacturers offer agentic NetOps capabilities, but only for their own devices and lack multi-vendor support.
- Do-it-yourself approaches require providing clear and trustworthy data with context about the network so that AI can be useful. Nearly 70% of enterprise data leaders say this is a point of failure.
What are some of the top use cases for AI?
As organizations transition to agentic NetOps, they tend to start with the following high-ROI use cases:
Cybersecurity risk management. Security teams often receive messy, inconsistent vulnerability reports. Kilter makes vulnerability reports actionable, by normalizing data, automatically verifying which CVEs impact your specific devices, surfacing workarounds, and generating remediation chains, reducing effort from weeks to hours.
Automation creation at scale. Multi-vendor networks lack a universal standard. Kilter's Automation Creation Assistant turns CLI commands into structured, vendor-aware automation tasks and chains. This enables engineers without extensive scripting skills to create production-ready workflows.
Multi-vendor risk management. When a vulnerable configuration is identified on a device, Kilter quickly surfaces similar configurations across your environment to help guide further investigation. This helps teams to prioritize what to review next and take informed action, while keeping validation and decision-making in human control.
Want to see Kilter in action?
Contact us to schedule a demo and discuss what your organization can do with Kilter