What is Agent Security?
Agent Security is a platform and knowledge base for securing autonomous AI agents, RAG pipelines, and LLM-based APIs. It provides threat models, playbooks, and policy templates for risks unique to non-deterministic AI systems, plus deployment options across on-prem, private cloud, and hybrid environments. The focus is enterprises that already run AI in production and need governance aligned with GDPR, NIST, ISO 42002, and OWASP.
Why Agent Security works
Traditional cybersecurity tools assume deterministic systems and trusted code paths, neither of which apply to agents that call tools, edit memory, and choose actions at runtime. Agent Security centralizes the controls and reference material teams need to monitor those systems, set permissions, and detect drift, which lets a security org govern AI without inventing a stack from scratch.
Agent Security features
- Threat models and playbooks. Reference frameworks cover prompt injection chains, privilege escalation, data exfiltration, tool abuse, and memory poisoning so teams have a starting checklist for each risk.
- Tool execution and permission controls. The platform addresses securing tool execution and governing what an agent is allowed to do at runtime, which is the gap most prompt-only safety layers miss.
- Memory protection. Long-term memory stores are treated as a security surface, with controls against memory poisoning rather than only input filtering.
- Autonomous drift monitoring. Monitoring for autonomous drift, defined as agents gradually deviating from original objectives, is listed as a core protection.
- Compliance alignment. Mappings to GDPR, NIST, ISO 42002, and OWASP plus support for SOC 2 and ISO 27001 give security leads an audit-friendly starting point.
Who Agent Security is for
- Heads of AI security at regulated enterprises rolling out agents who need a defensible governance story before production.
- Platform engineering teams running multi-agent systems and RAG pipelines who want runtime guardrails layered on top of model providers.
- Compliance and risk officers responsible for new AI frameworks like ISO 42002 who want pre-mapped controls rather than custom write-ups.
- AI red teams looking for a shared reference library of agent-specific attack patterns and case studies.
Similar micro SaaS ideas you can build
- Agent action audit log. Tool for SOC teams that records every tool call and permission change an agent makes with searchable replay, billed per agent monitored.
- Prompt injection test suite. Service for AI platform teams that runs a regularly updated battery of prompt injection probes against their deployed agents and reports regressions, sold per environment.
- RAG data leakage scanner. App for data security leads that scans RAG corpora and embeddings for PII and secrets before indexing, priced per gigabyte scanned.
