Illumant helps CISOs and engineering leaders secure the AI systems their businesses now depend on — from shadow Copilot deployments to customer-facing chatbots to autonomous agents with production access.
The data is stark. Most organizations have rolled out AI before establishing access controls, governance, or adversarial testing. Attackers are taking advantage.
Prompt injection, system prompt leakage, and agent hijacking stopped being hypothetical a long time ago. Here's a small sample from the past year.
A crafted email triggered data exfiltration from Microsoft 365 Copilot without any user interaction — bypassing traditional defenses by leveraging content the AI automatically processed.
Attackers manipulated an AI banking assistant into bypassing transaction verification. The assistant approved fraudulent transfers because it interpreted attacker-supplied instructions as legitimate rules.
An independent researcher demonstrated that an autonomous coding agent could be manipulated through prompts to expose ports, leak access tokens, and install command-and-control malware.
Researchers built a proof-of-concept that propagates between autonomous agents through prompt injection embedded in normal messages — the first credible "AI worm" capable of self-spreading across systems.
Whether you're assessing AI risk for the first time or red-teaming a production agent, we have the depth to help — and engage only where it creates value.
Top-down strategy work: building the policies, inventories, and risk frameworks your board, auditors, and regulators expect. Foundation work that unblocks the rest of your AI program.
Evaluate how securely AI is deployed inside your environment. Copilot oversharing, over-permissioned agents, integration risks, and the shadow AI tools you didn't know were there.
Adversarial testing of AI-powered products — chatbots, assistants, and RAG pipelines. Structured around the OWASP LLM Top 10 (2025) so you get a defensible, auditor-ready deliverable.
Purpose-built testing for AI that takes action — tool-using agents, autonomous systems, and MCP integrations. Built on the new OWASP Agentic Top 10 (2026). When your AI can spend money, write to production, and coordinate with other agents, retrofitted chatbot testing isn't enough.
Full-scope adversary simulation targeting AI systems, pipelines, and the humans who trust them. AI-assisted social engineering, multi-step attack chains, and supply chain abuse — modeled after the threats you actually face.
Every engagement is structured against an industry-standard OWASP framework. LLM testing follows the LLM Top 10 (2025). Agentic testing follows the newly-released Agentic Applications Top 10 (2026), purpose-built for autonomous AI. Your auditors, boards, and regulators get deliverables they recognize — and your engineering teams get findings they can act on.
For AI that takes action — tool-using agents, autonomous systems, multi-agent orchestration. The ASI prefix stands for Agentic Security Issue. Each item below is mapped to documented 2025 production incidents.
Fines reach €35M or 7% of global annual turnover — higher than GDPR. Over half of organizations still lack a basic inventory of their production AI systems. The gap between readiness and reality is widening.
A 30-minute scoping call with one of our AI security leads. No commitment, no generic sales deck — we'll discuss your specific AI footprint and where the meaningful risks live.