Whether you operate in the cloud, on-premises, or a hybrid setup, Tonic collects and harmonizes massive volumes of structured and unstructured data from business applications, IT systems, security controls, and homegrown apps and files.
Reveal “hidden” context from tribal knowledge in business applications. Quickly assess potential business impact, operational dependencies, ownership, likelihood of exploitation, and other contextual factors with Tonic’s security graph.
Tonic’s Contextualized Risk indicator goes beyond generic scoring by pinpointing which vulnerabilities truly matter, factoring in asset criticality, real-world exploitability, and business impact. Prioritize smarter, act faster, and align security decisions directly with business outcomes.
Manage and automate remediation with powerful agentic workflows. Let intelligent agents open tickets, enforce policies, track progress, manage exceptions, and deploy targeted mitigating controls. Automate meaningful reports tailored for executives and regulators. Enrich your CMDBs and SIEMs with useful context.
The Tonic Platform is powered by an AI Data Fabric that seamlessly integrates data across diverse tools, locations, and types. It normalizes, aggregates, correlates and deduplicates vast volumes of structured and unstructured data, while extracting deep, meaningful context from the organization’s knowledge base (like Sharepoint, Confluence, Jira, and Slack) and threat intelligence.
The more complex your digital environment is, the more our AI Data Fabric can help make sense of enterprise data - breaking siloes, establishing coherence, and delivering rich context to enable security teams to act fast with clarity and confidence.
Exposure Management is an evolution of Vulnerability Management that broadens the scope to cover new areas of the attack surface, encompasses disparate types of findings, and continuously enriches them with multi-dimensional context.
Tonic leverages Agentic AI to enable security teams to proactively discover, assess, prioritize, and remediate findings and risks. Our AI agents can independently perform tasks, offer insights, and recommend or make decisions across the Exposure Management lifecycle - from scoping, discovery, prioritization, validation, to mobilization. This approach enhances efficiency, accuracy, and speed while minimizing manual intervention, but keeping the human in the loop as needed.
Determine how critical the asset is, the business processes it supports, and the potential impact if compromised.
Identify which department, team and individuals “own” the asset and are responsible for fixing issues on it.
Geographical context pinpoint where the asset is located and how specific physical and local circumstances affect its security.
Ascertain the function of the asset in daily operations, how resilient is it, and what are its interdependencies with other entities.
Know the lifecycle stage of the asset, and its history of vulnerabilities, incidents and configuration changes.
Assess the likelihood that a threat actor will be able to reach the asset and cause harm.
Tonic’s reasoning is transparent, and its context is explainable. Every finding contains an indication of the level of confidence in the context that it attributes to an asset.
At Tonic, we prioritize trust through unwavering adherence to the latest security and privacy regulations and industry standards. Our platform is aligned with frameworks such as SOC 2, ISO 27001, GDPR, CCPA and emerging standards, ensuring your data remains protected and compliant amid rapidly evolving threats and expanding attack surface.
