Security for AI
Secure, govern, and continuously assure AI systems across models, data, prompts, agents, and AI supply chains.
Operational control for CISOs. Trust and accountability for leaders. Continuous assurance for regulators.
Why Security For AI Matters
CISO
- Enforce AI security controls across models, prompts, agents, and data pipelines
- Detect and prevent prompt injection, jailbreaks, misuse, and runtime abuse
- Reduce operational risk from unmanaged GenAI deployments
Executive / Board
- Ensure AI systems are trustworthy, predictable, and business-safe
- Prevent AI failures that could impact revenue, reputation, or customer trust
- Establish clear accountability for AI risk across the organization
Regulator / CRO
- Demonstrate continuous AI risk oversight and control effectiveness
- Maintain audit-ready evidence for AI governance and compliance
- Reduce supervisory and compliance exposure from AI systems
Core AI Risk Challenges
CISO
- AI-specific threats bypass traditional AppSec and DevSecOps controls
- Lack of visibility into AI behavior post-deployment
- Fragmented tools across AI security, governance, and compliance
Executive / Board
- Limited visibility into where AI is used and how it behaves
- Difficulty translating AI risk into business impact
- Inconsistent governance across teams and geographies
Regulator / CRO
- Periodic assessments cannot keep pace with continuously learning AI
- Manual controls lack traceability and scale
- Gaps between policy intent and operational enforcement
Continuous testing | AI governance | Compliance evidence | Runtime monitoring
The AI Risk Surface Has Changed
- AI introduces new exploit paths: prompt injection, jailbreaks, agent misuse, hallucinations
- Data and training exposure: poisoning, bias injection, leakage
- Lifecycle and supply chain: third-party models, plugins, APIs
- Governance pressure: auditability, explainability, continuous compliance
⚠️Traditional AppSec/DevSecOps does not cover LLM and agentic risks.
Continuous testing | AI governance | Compliance evidence | Runtime monitoring
AISecDevOps: Security + Governance
Built into the AI Lifecycle
Embed assurance into build, deploy, and runtime, continuously.
Cygeniq provides a unified system to assess, test, enforce guardrails,
monitor drift/misbehavior, and maintain audit evidence.
monitor drift/misbehavior, and maintain audit evidence.
- AI introduces new exploit paths: prompt injection, jailbreaks, agent misuse, hallucinations
- Data and training exposure: poisoning, bias injection, leakage
- Lifecycle and supply chain: third-party models, plugins, APIs
- Governance pressure: auditability, explainability, continuous compliance
Single source of truth for assurance and compliance across the AI lifecycle.
How Cygeniq Delivers Security For AI
CISO
- Continuous AI red teaming, guardrails, and runtime monitoring
- CI/CD-integrated security gates for AI models and prompts
- Centralized risk telemetry and incident readiness
Executive / Board
- End-to-end AI lifecycle oversight from design to runtime
- Clear ownership, controls, and escalation paths
- Board-ready dashboards on AI risk and compliance posture
Regulator / CRO
- Embedded governance and policy enforcement
- Continuous assurance aligned to regulatory expectations
- Evidence-backed controls and audit trails across AI systems
Continuous testing | AI governance | Compliance evidence | Runtime monitoring
Capabilities Across the Full AI Stack
AI Asset Inventory & Risk Classification
Threat Modelling for AI model/prompt/ agent/RAG)
Automated AI Red Teaming & Adversarial Testing
Guardrails, Policies, and Secure Deployment Gates (CI/CD)
Runtime Monitoring (drift, toxicity, hallucination, abuse)
Compliance Evidence & Audit-Ready Reporting
Powered By
HexaShield AI
AI Risk Management Platform
GRCortex AI
AI Governance & Compliance Suite
Outcomes That Executives Can Defend
65% Reduced
AI Vulnerability Exposure
50% Fewer
Misbehaviour incidents
3X Faster
Secure AI Releases
70% Reduced
Audit Preparation Time
50% Lower
Security Ops Overhead
CISO
- Reduced AI vulnerability exposure and misbehavior incidents
- Faster, safer AI releases
- Improved operational control over AI risk
Executive / Board
- Confident AI adoption with measurable risk reduction
- Improved business resilience and trust
- Defensible AI governance decisions
Regulator / CRO
- Continuous compliance and supervisory readiness
- Transparent, explainable AI oversight
- Reduced regulatory and compliance risk
Services to Stand Up, Mature, and Operate AI Security
Foundation
- Baseline maturity assessment
- AI asset inventory & classification
- Threat modelling & initial control mapping
- Implementation blueprint
Advisory / Transformation
- Red-team cycles and remediation planning
- Guardrail & policy engineering
- Secure AI architecture patterns (RAG/agents)
- Compliance uplift and readiness
Continuous Operations
- Continuous testing + monitoring
- Risk scoring & governance reporting
- Audit evidence management
- Incident readiness and response for AI systems
Engagement Models
Assessment + Roadmap
(2–4 weeks)
- AI security baseline
- Critical risk prioritization
- Strategic security roadmap
Implementation Sprint
(4–12 weeks)
- Rapid integration work
- Policy and guardrail setup
- Initial AI security hardening
Managed Assurance
(Quarterly / Continuous)
- Full lifecycle protection
- Ongoing testing and governance
- Assurance reporting and optimization
Addons
Red Team as a Service
Regulatory Readiness Pack
Board Reporting Pack
Partnering with Industry Leaders
We work with the best of the best, creating a powerful ecosystem of partners that
share our commitment to securing AI innovation.
Built for Enterprise and Regulated Industries
Banking • Financial Services • Healthcare • Life Sciences • Retail • Telecom • E-Commerce
Insight- leading the way
AI has become a material business and regulatory risk. Cygeniq was purpose-built for this convergence, where AI itself must be secured, and AI must be leveraged to defend the enterprise at machine speed. Our focus is simple: trust, control, and resilience for AI-driven enterprises.
AI security can no longer rely on static rules, point tools, or post-fact audits. At Cygeniq, we built a context-aware Large Security Model that understands AI behaviour, risk, and intent in real time, so enterprises can secure AI systems continuously, not retrospectively.
Enterprises don’t just need more security tools, they need clarity, accountability, and measurable outcomes. Cygeniq unifies AI security, governance, and cyber defense into a single operating layer, enabling CISOs and leaders to make confident, defensible decisions at scale.
At enterprise scale, security success is defined by execution, not intent. Cygeniq operationalizes AI security and AI-driven defense through governed workflows, explainable automation, and measurable outcomes—ensuring resilience across global operations and regulated environments.
Global enterprises demand security platforms that adapt to regional regulations, industry realities, and business priorities. Cygeniq was designed to scale across markets—delivering consistent value, faster adoption, and customer-centric outcomes across the US, EU, GCC, India, and APAC.
AI security must evolve as fast as AI itself. Cygeniq’s platform architecture brings together LSM-powered intelligence, explainable automation, and lifecycle governance, enabling enterprises to innovate with AI while maintaining control, transparency, and compliance.
Make AI Safe and Compliant
Before It Becomes a Breach or Board Issue
Start Securing Your Business Today!
We’re a full-stack platform for AI for security and security for AI.
- marketing@cygeniq.com
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