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Introducing Sera for safer Healthcare AI

Next-gen red teaming that hardens Healthcare & Life Sciences AI against real-world failures—technical, ethical, and regulatory.

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In 2024, 66% of physicians reported using health care AI in their practices, up from 38% who said they used it just a year earlier.

Top 10 Healthcare AI Risks

Patient Safety Failures & Misdiagnoses

Incorrect diagnoses, unsafe treatment recommendations, or missed critical alerts due to AI errors or hallucinations

Data Privacy & HIPAA Violations

AI systems mishandling PHI (Protected Health Information) through training data leaks, insecure prompts, or unintended outputs.

Model Bias & Health Inequities

Biased training data leading to unequal treatment across demographics (e.g., misdiagnosis rates higher for women or minorities).

Adversarial & Prompt Injection

Malicious inputs (text, voice, or images) that manipulate AI into revealing sensitive data or producing harmful actions.

Supply Chain & Model Integrity Risks

Compromised open-source models, third-party APIs, or poisoned datasets introducing backdoors or unsafe behavior.

Lack of Explainability & Auditability

Black-box outputs that clinicians cannot validate or regulators cannot audit.

Workflow Drift & Human Over-Reliance

Clinicians deferring too much to AI, or AI performance degrading over time as clinical workflows change.

Data Quality & Provenance Issues

Using incomplete, outdated, or poorly labeled datasets for training or fine-tuning.

Sera AI Red Teaming Platform

Sera gives you state-of-the-art AI red teaming and security testing, combining automated attack simulation with evaluation and audit compliance to keep your models safe, reliable, and compliant.

Automated Agentic Red Teaming

Simulate real-world adversarial attacks against your AI systems with no manual setup required.

Access a wide range of pre-built and evolving adversarial techniques (OWASP, MITRE ATLAS & domain specific)

Extensive Threat & Attack Library

Integrate into your DevSecOps pipeline to detect vulnerabilities early and often.

Continuous Testing During Development

Research Powered Intelligence

Stay ahead of attackers with continuously updated insights from cutting-edge adversarial research.

Multi-Turn / Multi-Step Attack Simulation

Uncover risks from sophisticated adversarial scenarios that go beyond single-prompt tests.

Audit Ready Compliance

Instantly generate clear reports aligned with regulatory and governance requirements.

AI Red Teaming Coverage

Automated adversarial testing and vulnerability assessment for healthcare AI systems with continuous security validation.

Diagnostic AI

Adversarial attack generation against medical imaging and clinical decision models. Features FGSM/PGD attacks, model inversion techniques, and bias detection across protected health attributes.

Generative AI

Prompt injection testing, hallucination detection, and extended conversation drift analysis for healthcare LLMs. Implements automated jailbreak sequences, RAG poisoning attacks, multi-turn conversation state tracking, and clinical accuracy benchmarking against medical knowledge bases.

Agentic AI

Security orchestration for autonomous healthcare workflows. Includes decision boundary manipulation, multi-agent coordination attacks, and OWASP Top 10 compliance testing with remediation workflows.

Value Proposition

AI Risk Mitigation

Uncover exploitable AI failures and reduce operational risk

Cost Efficiency

Cuts Red Teaming costs by >75% and reduces reliance on manual testing

Accelerated Go-live

Shortened validation cycles with integrated regression and edge case testing

Audit Readiness

50% less effort on compliance reporting

Our 3 step approach

Our approach is built on a solid framework

Book a demo

Discover how our AI Red Teaming platform helps you uncover hidden risks, strengthen defenses, and meet compliance with confidence. Reach out to learn more or schedule a personalized walkthrough.