Effectively secure your AI solutions against evolving cyber threats across the complete AI journey.
AI adoption has become a strategic priority for most organizations, but this rapid integration often outpaces governance, introducing significant security risks. Shadow AI and employee use of unvetted AI tools create new pathways for sensitive data exposure and unauthorized access. These risks also extend through partners and supply chains, adding operational complexity and regulatory liability.
Compounding this challenge, adversaries are leveraging AI to accelerate their own attack methods, which increases the susceptibility of AI-related compromise for defenders.
How Sygnia Can Help
Sygnia’s AI Cybersecurity Services provide modular options to help organizations secure new, existing, and custom-built AI solutions against cyber threats with offerings that assess and improve security posture, response readiness, governance, and controls effectiveness across the complete AI lifecycle.
Our services guide the implementation of AI-related security best practices that enable confident adoption and deployment while maintaining user trust and reliability. This approach protects rapidly evolving cyber threats and strengthens your organization’s operations and reputation as a responsible enterprise.
Early Risk Identification
Increase visibility of risks introduced by shadow AI, unauthorized AI usage, and unmanaged AI integrations that bypass existing security controls
Security Readiness
Assess your organization’s AI security posture to test AI adoption plans for proper safeguarding
Vulnerability Management
Implement security best practices into your software development lifecycle to mitigate hidden security risks introduced by AI tools
Scalable Governance
Establish a comprehensive governance framework for secure onboarding and management of AI across your organization
Trusted Applications
Strengthen the security of new and existing AI applications to enhance user trust and support market credibility
Enhanced Visibility
Receive evidence-based AI risk data to minimize your organization’s attack surface and protect its crown jewels
Why Cybersecurity Teams Choose Sygnia
Lifecycle Support
Choose from modular services that meet your needs across the complete AI journey from application development, adoption, and deployment
Vast Experience
Rely on a partner with decades of expertise in IT and OT environments, and protecting disruptive enterprise technologies like Cloud, Blockchain, and AI
True Experts
Work with frontline responders who remediate some of the world’s most sophisticated and persistent cyber incidents
Attacker Perspective
Acquire best practices built from unmatched knowledge of today’s attacker mindset and evolving TTPs to identify your security gaps before the adversaries do
Our Approach
Sygnia helps protect your organization’s critical assets from AI-related security risks through a set of proactive service modules that address emerging AI regulatory requirements, align AI security controls with business goals, develop processes for strong AI development, and set guardrails for secure AI software integration.
AI Cyber Posture Assessment
Assess and secure your AI systems across infrastructure, applications, data flows, and prompt behavior spanning the complete AI lifecycle.
Service components include:
- AI attack surface mapping
- Security controls evaluation
- AI-specific threat analysis
- Domain remediations roadmap
Two service options available:
- Enterprise AI Security Posture Assessment – Full spectrum evaluation across an organization
- Focused AI Security Posture Assessment – Targeted evaluation of selected AI risk domains
AI Governance Framework
Establish a comprehensive framework for AI onboarding and managing AI usage across your organization.
Service components include:
- AI ethical usage policy
- AI cyber risk statements and appetite
- AI cyber risk framework
- AI cyber risk evaluation scorecards
AI Governance Assessment
Evaluate your existing framework for AI onboarding and governing AI usage across the organization.
Service components include:
- Identify current AI control strengths
- Pinpoint current AI control gaps
- Guided AI security controls enhancements
- Prioritized implementations roadmap
AI Application Penetration Testing
Assess the security and resilience of internally developed or customer-facing AI applications through adversarial testing.
Service components include:
- Hands-on testing for AI vulnerabilities
- Identification of application, API, and infrastructure security risks
- Evaluation of data exposure and access control weaknesses
- AI risk prioritization and mitigation plan
Related Resources
FAQs
The timeline varies based on the scope, complexity, and maturity of your organization’s AI environment. Most assessments are completed within a few weeks, while larger or more complex environments may require additional time to ensure a comprehensive evaluation.