Adept
The Precision Defenders
Engineering SpecializationAI & Cybersecurity

AI & Cybersecurity

Artificial intelligence expands your attack surface with novel, unconstrained threat vectors. Adept provides military-grade red-teaming, indirect prompt injection defense, and the real-time Kawas security proxy to protect your models and confidential data.

Technical Architecture & Rationale

The New Adversarial Frontier: Defending Non-Deterministic Execution Surfaces

The integration of large language models and autonomous agent swarms into enterprise software creates unprecedented cybersecurity vulnerabilities. Attackers no longer need to exploit memory buffer overflows or SQL injection vulnerabilities; instead, they exploit the fundamental nature of natural language processing itself. Through direct prompt injection, indirect prompt injection via untrusted ingested documents, multi-turn cognitive roleplay jailbreaks, and vector database poisoning, malicious actors can hijack system logic, exfiltrate confidential enterprise data, and execute unauthorized internal actions.

Traditional web application firewalls (WAFs) and static regex pattern matchers are fundamentally blind to semantic-level attacks. An adversarial payload can be encoded in multilingual ciphers, hidden in white-on-white text inside uploaded PDF resumes, or fragmented across benign-looking conversational turns. System prompt instructions ("You must never reveal...") provide zero mathematical defense against determined adversaries.

Adept delivers comprehensive, military-grade defense-in-depth for AI infrastructure. Our defensive suite centers on Adept Kawas, our real-time semantic token inspection firewall. Kawas intercepts inbound user prompts, ingested retrieval documents, and outbound model responses in sub-15ms, using deep semantic anomaly detectors and embedding distance classifiers to neutralize jailbreaks, data exfiltration attempts, and unauthorized tool commands before they reach model context.

Complementing our runtime software defense, the Adept cybersecurity team conducts continuous automated and human-led adversarial red-teaming. We subject your models, RAG vector stores, tool bridges, and agentic workflows to over 100,000 synthetic attack vectors based on the OWASP Top 10 for LLMs and real-world nation-state threat intelligence, providing verifiable assurance that your intelligent infrastructure is impervious to compromise.

Capabilities & Deliverables

What Is Included

Real-Time Semantic Prompt Injection and Jailbreak Interception via Adept Kawas Proxy
Indirect Prompt Injection Defense for enterprise RAG, document parsing, and web crawlers
Automated & Human-Directed Adversarial Red-Teaming across 100k+ exploit vectors
OWASP Top 10 for LLM Applications Vulnerability Auditing and Remediation
Zero-Trust Inference Architecture and Confidential Compute Enclave Engineering
Model Inversion, Membership Inference, and Training Data Extraction Countermeasures
Cryptographic Tool-Calling Authorization and Output Exfiltration Boundary Sandboxing
Vector Store and Knowledge Base Poisoning Detection and Embedding Hygiene
Continuous Threat Intelligence Feeds updating Kawas firewall rulebases dynamically
Execution Protocol

Four-Phase Deployment Process

01

Threat Modeling & Surface Mapping

We audit your complete AI architecture—including user inputs, RAG pipelines, external tool hooks, and agent communications—to catalog all latent attack vectors.

02

Adversarial Fuzzing & Red-Teaming

Our security engineers execute exhaustive automated fuzzing and bespoke manual jailbreak campaigns to uncover behavioral vulnerabilities and boundary failures.

03

Adept Kawas Firewall Deployment

We insert the Adept Kawas inspection proxy into your inference and ingestion paths, establishing sub-15ms real-time semantic sanitization and anomaly blocking.

04

Continuous Verification & Threat Updates

Your deployment receives continuous automated vulnerability probes and dynamic threat signatures reflecting emerging global zero-day jailbreaks.

Enterprise B2B SaaS & Knowledge Management

Enterprise SaaS Knowledge Automation Security

100% Indirect Injection Interception
Verified Outcome

Neutralized all 850 adversarial injection payloads across customer red-team audits and protected 200,000 active enterprise user seats.

Technical Clarity

Frequently Asked Questions

System prompts are mixed into the same token stream as user data. Language models cannot mathematically distinguish between developer instructions and adversarial commands embedded in user input without architectural boundary isolation.