Why SAFE’s AI Is Ahead of the Industry

From leading in data security to engineering for accuracy to autonomous, agentic AI

By Hitesh Sethi

While most companies are still figuring out how to bolt AI onto their existing systems, SAFE has built something fundamentally different: 100% autonomous cyber risk management powered by AI agents, starting with our third-party risk management (TPRM) solution. Our agentic AI doesn’t just process data—it reasons, collaborates, and delivers enterprise-grade risk-management outcomes.

Author Hitesh Sethi is Director of Engineering and leader of AI development for SAFE. 

What sets SAFE apart isn’t just AI technology—it’s also a unique approach that blends innovation with responsibility. SAFE is an industry leader on the four critical pillars of AI: data privacy and security, bias and fairness, ethical considerations and accountability, and regulatory compliance. 

1. Data Privacy and Security: Built-In Protection, Not Afterthought Add-Ons

When it comes to cybersecurity, SAFE doesn’t just check the box—it redefines the standard. Most organizations treat data privacy as an afterthought, but SAFE builds it into the DNA of every AI agent. This proactive approach ensures that sensitive data remains protected but also actionable and aligned with risk workflows.

Here’s how SAFE sets itself apart: 

Zero-Trust Architecture for AI

SAFE isolates each client’s data from the others and never uses client data to train AI models. Data is always kept encrypted. The large language models (LLMs) do not retain client inputs or use them for training. 

The Multi-Agent Advantage

SAFE’s approach to data security becomes even more sophisticated when you consider our multi-agent architecture. Unlike monolithic AI systems that process everything through a single model, SAFE’s specialized agents—from the Public Records Agent to the Contract Intelligence Agent—each handle specific data types with tailored security protocols.

This means sensitive contract data never mingles with public threat intelligence, and your vendor assessments remain isolated from external scanning data. It’s compartmentalization at the AI level, something most competitors haven’t even considered.

AI agent assessment of a vendor on the SAFE TPRM platform

2. Bias and Fairness: Engineering Accuracy, Not Assumptions

The dirty secret of most AI systems is that they’re inconsistent. A vendor risk assessment might yield different results depending on when it’s run, which model processes it, or even how the prompt is phrased. SAFE solves the problem of bias and fairness with an approach that treats accuracy as an engineering discipline, not a happy accident.

Built-In Accuracy Checks

Accuracy isn’t an afterthought; it’s engineered from the start. SAFE agents are built on predefined output types, gold standards (ground truths) for accuracy on every task, and evaluation logic. This ensures that responses are measured against clear benchmarks, leaving no room for performance gaps that could introduce bias. 

Steps to test for accuracy 

Versioning and Precision Tracking

Every prompt modification is handled with the care of a software update. Changes are versioned, tested, and evaluated for precision and reproducibility. This rigorous process keeps bias in check and ensures reliable outcomes every time. 

SAFE’s commitment to fairness doesn’t stop at technical safeguards. By benchmarking every step of the process, SAFE maintains AI systems that are as unbiased as they are effective.

3. Ethical Considerations and Accountability: Human-in-the-Loop by Design 

The out-of-control AI systems are the ones that operate without human oversight. SAFE has designed our agentic AI to augment human expertise, not replace it—a philosophy that’s baked into the architecture.

Real user feedback is actively gathered and factored into our evaluations to ensure that changes improve performance in the wild, not just in theory. This continuous feedback loop helps us catch edge cases, validate improvements, and detect unintended regressions early.

SAFE’s AI Policy: Read the Frequently Asked Questions

Reproducibility as Non-Negotiable

Trustworthy AI isn’t a one-and-done deal. SAFE runs agents multiple times to ensure consistent and hallucination-free outputs. This focus on reproducibility guarantees ethical decision-making that’s not dependent on a lucky roll of the dice. 

Structured Output for Human Review

While other AI systems dump unstructured text summaries that are impossible to validate, SAFE’s agents return structured fields that plug directly into risk workflows. This means humans can quickly review, validate, and act on AI recommendations without wading through paragraphs of AI-generated prose.

Coverage Across the Risk Lifecycle

Ethics in AI isn’t just about oversight; it’s about providing end-to-end solutions that actually solve problems. SAFE tackles the entire risk lifecycle—from initial intake to evidence analysis to control evaluation—with clarity and actionable guidance. Imagine having reliable expertise at every point, ensuring nothing falls through the cracks. 

The Multi-Agent Collaboration Model

SAFE’s agents don’t work in isolation—they collaborate. The Fourth-Party Agent uncovers hidden dependencies that the Monitoring Agent will track over time.

This collaborative approach creates natural checks and balances. If one agent’s assessment seems off, other agents in the workflow can flag inconsistencies or provide additional context.

Learn more in this post from Hitesh Sethi, SAFE’s Director of Engineering: Building Trustworthy AI Agents: A Deep Dive into Measuring Accuracy

Standards compliance assessment on the SAFE platform

4. Regulatory Compliance: Future-Proof by Design

SAFE’s agents are fine tuned with expertise in cybersecurity standards and regulations like GDPR and SOC 2. Their domain-specific focus gives SAFE a huge advantage over general-purpose AI, as it aligns every action with real-world compliance needs. Think of it as an AI agent that’s also your compliance SME. 

Multi-Framework Compliance

SAFE’s AI is designed to support GDPR compliance by operating within a framework that emphasizes data minimization, access controls, and transparency. But it doesn’t stop there:

>>SOC 2 Type 2 and ISO 27001: SAFE’s AI uses infrastructure, processes, and code that’s governed by SOC 2 Type 2 and ISO 27001 certified controls

>>Data protection: We follow principles of GDPR, CCPA and other privacy regulations in how we handle data. 

>>Industry standards: Alignment with NIST AI Risk Management Framework principles

Vendor Compliance Automation

With SAFE, you can generate compliance reports with financial impact data for vendor risks across stages and receive AI-powered insights on key findings and recommended actions for audits. SAFE’s agents don’t just assess vendor compliance—they help you demonstrate your own compliance to auditors and regulators, while saving valuable time. 

See SAFE TPRM in action in this video introduction. 

Risk-Based Prioritization

SAFE doesn’t treat all vendors equally—and that’s a good thing. By focusing on actual risk exposure, SAFE ensures your compliance efforts are targeted where they’re needed most. When time is short and stakes are high, this level of prioritization is invaluable. 

The Agentic AI Advantage: Why SAFE Leads the Industry

What makes SAFE’s approach truly revolutionary isn’t any single feature—it’s the integration of specialized AI agents that work together to deliver outcomes that no single AI system could achieve. While competitors focus on automating existing processes, SAFE’s agentic AI creates new capabilities, such as autonomous discovery and continuous learning. The entire system benefits from a network effect as more agents and more data are added. 

The Future Is Agentic

SAFE’s leadership in AI isn’t just about having better technology—it’s about having a fundamentally different approach to how AI should work in enterprise security. By building specialized agents that collaborate, maintain rigorous accuracy standards, and ensure privacy and compliance from the ground up, SAFE offers an AI platform that doesn’t just process data—it reasons, collaborates, and delivers outcomes.

In an environment where trust is everything, SAFE has built AI that organizations can actually trust. We’re not just ahead of the industry, we’re defining what the industry should become.

Ready to experience the next generation of AI-powered security? Learn more about SAFE’s agentic AI platform and see how autonomous TPRM can transform your organization’s risk management approach. Schedule your demo now!