Kognitos — agentic threat model

Not certain from the listing — The specific foundation models powering Kognitos are not disclosed. Threats include adversarial prompt injection bypassing automation logic, or model-level vulnerabilities leading to incorrect code generation.

Kognitos ingests business process documents to generate automations. Threats include document poisoning (malicious instructions embedded in process docs) and unauthorized data exfiltration during execution of data-heavy workflows.

The platform translates English to executable automation and features 'self-healing' (auto-debugging). Threats include logic flaws in the self-healing loop that could cause infinite execution loops, unintended tool calls, or unauthorized system modifications.

Not certain from the listing — The hosting infrastructure, sandboxing of generated automation code, and secrets management for third-party integrations are not detailed, presenting risks of privilege escalation if the execution environment is compromised.

Features 'comprehensive agent memory & AI audit' and 'conversational exception handling'. This provides strong observability, but threats remain if an attacker can manipulate the audit logs or exploit blind spots in the exception handling flow.

Not certain from the listing — While Kognitos emphasizes transparency and 'AI audit' for business/IT trust, specific compliance certifications (e.g., SOC2, ISO 27001) and fine-grained access controls are not explicitly detailed.

Not certain from the listing — The platform uses 'pre-trained agents' to handle tasks, but it is unclear if these agents interact in a multi-agent ecosystem or marketplace, which would introduce risks of cascading failures or agent-to-agent trust abuse.