Compare Data Theorem vs. Safeguard

Take stock of your applications, APIs, and hidden assets within your expansive multi-cloud framework. Develop tailored policies for various asset categories, utilize automated attack tools, and evaluate security weaknesses. Address security concerns prior to launching into production, ensuring compliance for both applications and cloud data. Implement automatic remediation processes for vulnerabilities, with options to revert changes to prevent data leaks. Effective security identifies issues swiftly, while exceptional security eliminates them entirely. Data Theorem is dedicated to creating outstanding products that streamline the most complex aspects of contemporary application security. At the heart of Data Theorem lies the Analyzer Engine, which empowers users to continuously exploit and penetrate application vulnerabilities using both the analyzer engine and proprietary attack tools. Furthermore, Data Theorem has created the leading open-source SDK, TrustKit, which is utilized by countless developers. As our technology ecosystem expands, we enable customers to easily safeguard their entire Application Security (AppSec) stack. By prioritizing innovative solutions, we aim to stay at the forefront of security advancements.

Safeguard is a software supply chain security and compliance platform built around autonomous detection, validation, and remediation of security risks. Rather than stopping at vulnerability alerts, the platform uses Griffin AI to trace call graphs and determine whether vulnerable code can actually be reached and exploited. An adversarial verification process can challenge findings before they reach security teams, helping reduce false positives and unnecessary triage work. When a vulnerability requires action, Safeguard can create a compatible patch, open a pull request, run the organization's CI and tests, and merge the fix according to configured policies. The platform generates and maintains SBOMs, tracks SLSA provenance, monitors containers and dependencies, and records evidence for regulatory and compliance requirements. Its Eagle model is designed to discover previously unknown vulnerabilities and coordinate mitigations before public CVEs or upstream patches become available. Safeguard also provides runtime guardrails for LLM applications, a zero-CVE component registry, public Trust Centers, vendor risk capabilities, and security-focused coding tools. A tenant-scoped MCP server allows platforms such as Claude, Cursor, and custom AI agents to query vulnerabilities, run scans, create remediation plans, and trigger approved security actions. Organizations can deploy Safeguard in cloud, private, on-premises, or fully air-gapped environments while using one centralized policy and audit system across software security and compliance workflows.