Resources
Research and guidance for secure enterprise AI.
Executive briefs, security guides, and technical notes for teams governing AI usage, deploying agents, and validating GenAI risk.
Blog
Latest AI security thinking from Kavalan.
Detailed field notes, executive briefs, technical guides, and industry playbooks for securing workforce AI, AI agents, RAG systems, GenAI gateways, and red teaming programs.
Guide
9 min read
The enterprise guide to AI agent runtime security
A practical security model for agents that retrieve context, reason over data, call tools, and act across business systems.
For CISO, Head of AI, Security Engineering
Executive Brief
8 min read
How CISOs can govern workforce AI without slowing adoption
Policy patterns for shadow AI discovery, prompt DLP, app governance, and employee enablement.
For CISO, CIO, Risk and Compliance
Research Note
10 min read
Red teaming RAG systems for poisoned context and over-disclosure
Testing approaches for retrieval abuse, source trust, sensitive context leakage, and model response drift.
For Security Engineering, AI Product Teams
Technical Guide
9 min read
Prompt injection defense for production GenAI applications
A layered approach to defending copilots, chatbots, RAG apps, and agents from direct and indirect prompt attacks.
For AI Product Teams, Security Engineering
Playbook
7 min read
Building a shadow AI discovery program
How to identify unmanaged AI usage and convert it into a governed adoption program.
For CISO, CIO
Architecture
8 min read
GenAI gateway security patterns for enterprise teams
Where gateways help with model traffic inspection, policy enforcement, and central governance.
For Security Engineering, CIO
Guide
8 min read
Stopping sensitive data leakage in AI workflows
How sensitive data moves through prompts, files, retrieval context, responses, and tool outputs.
For Risk and Compliance, Security Engineering
Playbook
7 min read
Designing approvals for unsafe AI agent actions
How to decide when agents can act automatically and when humans should approve.
For Head of AI, AI Product Teams
Research Note
8 min read
Monitoring model behavior drift in enterprise AI systems
How changing prompts, models, context, and tools can shift AI behavior after launch.
For Head of AI, Risk and Compliance
Executive Brief
6 min read
AI risk reporting for boards and executive committees
The metrics executives need to understand AI adoption, control effectiveness, and residual risk.
For CISO, CIO, Risk and Compliance
Framework
9 min read
Mapping OWASP LLM risks to enterprise controls
How security teams can translate LLM risks into runtime, workforce, gateway, and red team controls.
For Security Engineering, Risk and Compliance
Framework
8 min read
Operationalizing AI security with the NIST AI RMF
A practical way to connect AI governance principles to policy enforcement and evidence.
For Risk and Compliance, CISO
Industry Brief
7 min read
Securing AI copilots in financial services
Controls for copilots that touch customer records, regulated communications, research, and operational workflows.
For Financial Services, CISO
Industry Brief
7 min read
Protecting PHI in healthcare AI workflows
How healthcare teams can govern AI usage while protecting patient data and clinical context.
For Healthcare, Risk and Compliance
Industry Brief
7 min read
AI confidentiality controls for legal and professional services
Protecting client material, privileged work product, and confidential research as advisory teams adopt AI.
For Legal and Professional Services
Industry Brief
6 min read
Securing retail AI in customer support automation
Controls for AI assistants and agents that touch customer accounts, refunds, loyalty data, and support policy.
For Retail, AI Product Teams
Industry Brief
8 min read
AI product security for technology companies
How AI-native product teams can ship GenAI features with runtime controls and continuous testing.
For Technology, AI Product Teams
Technical Guide
8 min read
RAG source trust scoring for enterprise knowledge assistants
How to decide which sources should be retrieved, trusted, summarized, or blocked.
For Security Engineering, AI Product Teams
Technical Guide
8 min read
Preventing tool and API abuse by AI agents
Controls for agents that call APIs, trigger workflows, send messages, query databases, or update records.
For Security Engineering
Checklist
6 min read
AI security questions for procurement and vendor risk teams
What to ask when evaluating AI tools, copilots, model providers, and agent platforms.
For Risk and Compliance, CIO
Playbook
9 min read
Designing a continuous AI red teaming program
How to move from point-in-time GenAI testing to ongoing validation and remediation.
For CISO, Security Engineering
Compliance
7 min read
Creating AI governance evidence auditors can use
How to turn AI policy decisions, runtime events, and red team findings into reviewable evidence.
For Risk and Compliance
Technical Guide
7 min read
Browser governance for employee AI usage
Why browser and app-level controls matter for the AI tools employees actually use.
For CISO, Security Engineering
Checklist
6 min read
Executive AI security readiness checklist
A concise checklist for leaders preparing to scale GenAI across employees, products, and operations.
For CISO, CIO, Head of AI
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