Continuous AI Testing & Risk Management - Holistic AI

Know the risks before they reach production.

Holistic AI Protect performs deep technical testing, risk assessment, bias auditing, red teaming, and continuous monitoring — ensuring every AI system is safe, fair, and ready for deployment.

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Bias 92% Efficacy 88% Qualitative 85% Quantitative 91% Transparency 78%

THE CHALLENGE

AI risk is invisible - until it isn't

Without rigorous testing and continuous oversight, AI systems fail in ways traditional controls can't catch.

Undetected AI risks

AI systems fail silently. Bias creeps in. Models drift. Hallucinations slip through. By the time you notice, the damage is done.

Security blind spots

LLMs and agents have attack surfaces traditional security tools miss. Without adversarial testing, vulnerabilities stay hidden.

No standard approach

Every team measures AI risk differently — or not at all. Without a standard approach, blind spots multiply.

THE SOLUTION

Four pillars of AI Risk Management

Protect delivers end-to-end risk assessment, testing, and monitoring so every AI system meets your safety, security, and regulatory standards throughout its lifecycle.

01

Assess

Comprehensive Risk Analysis
Evaluate every AI system against a consistent framework—efficacy, robustness, bias, privacy, and explainability—all in one place.

02

Test

Deep Technical Validation
100+ automated tests catch what manual reviews miss: jailbreaks, prompt injections, hallucinations, toxic outputs, and more.

03

Mitigate

Guided Remediation
Every risk comes with a clear remediation path. Apply guardrails, adjust thresholds, or flag for human review.

04

Monitor

Continuous Assurance
Real-time observability catches drift, anomalies, and emerging risks as they happen—not weeks later.

HOW IT WORKS

How Protect Works

01

Connect AI assets

Link AI systems from your inventory to Protect for risk assessment.

02

Run risk analysis

Automated scanning identifies bias, security, privacy, and compliance risks.

03

Execute tests

100+ automated tests validate performance, safety, and robustness.

04

Review & remediate

Get actionable recommendations and track mitigation to completion.

CAPABILITIES

Complete Risk Management Features

Everything you need to assess, test, and secure your AI portfolio—from standalone models to autonomous agents.

Risk Assessment

Comprehensive risk analysis across models and agents

Multi-Dimensional Risk Scoring

Evaluate bias, security, privacy, robustness, and efficacy.

Regulatory Alignment

Map risks to EU AI Act, NIST AI RMF, ISO 42001.

Risk Heat Maps

Visual dashboards for enterprise-wide risk visibility.

Continuous Risk Monitoring

Real-time alerts when risk thresholds are exceeded.

Agent Risk Profiles

Assess autonomous agent decision-making and tool use risks.

Risk Trend Analysis

Track risk evolution over time across AI portfolio.

TESTING SUITE

100+ automated tests

Comprehensive testing coverage for LLMs, traditional ML, multimodal systems, and agentic workflows.

LLM Testing

Automated tests for large language model capabilities.

RED TEAMING

Adversarial security testing

Our AI red team proactively attacks your systems to find vulnerabilities before bad actors do.

Critical

Prompt Injection

Test resistance to malicious prompts designed to override system instructions.

Critical

Jailbreaking

Attempt to bypass safety guardrails and content policies.

High

Data Exfiltration

Probe for vulnerabilities that could leak sensitive training data.

High

Tool Misuse

Test for unauthorized actions when AI has access to external tools.

Medium

Mental Manipulation

Assess resistance to social engineering and persuasion attacks.

High

Adversarial Inputs

Test robustness against carefully crafted malicious inputs.

VALUE

What Protect enables

PLATFORM

Why Protect is essential

Risk Scoring

Score every AI system across bias, security, privacy, and performance—automatically.

100+ Automated Tests

LLM evaluation, bias detection, security probes, and ML metrics—all in one suite.

Red Teaming

Attack your AI before bad actors do. Find vulnerabilities first.

Bias Auditing

Fairness testing that meets regulatory standards and catches discrimination.

Fix What You Find

Every risk comes with a fix. Track progress. Verify results.

Always Watching

Catch drift, anomalies, and failures the moment they happen—not weeks later.

Enterprise AI Governance That Actually Works

Join the organizations that turned governance from a blocker into an enabler. Full visibility, continuous risk testing, and compliance proof — on autopilot.