AI-powered penetration testing and agentic defense. We don't just find vulnerabilities — we deploy defender agents trained in our RAID lab that learn, adapt, and counter-attack. Swarm vs swarm. Every action cryptographically logged.
Our agentic defense platform. Defender agents are trained in the RAID lab — a closed combat arena where offensive swarms attack and defensive swarms learn to repel them. The result: a deployable defense fleet that adapts to threats in real time.
Defender agents are trained in the RAID lab — a closed arena where Cipher (attack swarm) and Aegis (defense swarm) battle continuously. Every engagement feeds ParviALMA threat memory. The defenders that survive get deployed.
Modern attackers deploy AI agent swarms. Signature-based defenses lose. We answer with governed agent swarms that coordinate, adapt, and counter-attack in real time. Not static rules — living defenders that evolve with the threat landscape.
Soon: deploy a fleet of defender agents into your environment. Each defender uses the full Parvi family as its toolkit — and every defensive action is cryptographically chained and witnessed via ParviGov.
Authorized security testing where agents — not just humans — surface vulnerabilities, chain findings, and report. Automated reconnaissance combined with manual verification. Real-time vulnerability detection across dev, staging, and production environments.
Surface reconnaissance — maps attack surface, identifies exposed services and misconfigurations.
Deep exploitation — chains vulnerabilities, escalates privileges, validates real-world impact.
Patch verification — retests fixes on engagement, confirms remediation with evidence.
Every agent action is cryptographically logged via ParviGov. Audit-grade evidence is generated automatically — not after-the-fact logs, but governance-native records built into every action.
"Designed to meet" — our architecture is built to satisfy these frameworks. ParviGov's cryptographic audit trails provide the evidence layer. Formal certification is in progress.
What separates us is the full Parvi family — a governed agent stack where every action is cryptographically chained, witnessed, and receipted. Pentest plus agentic defenders that learn from every engagement. Not static rules — living defenders that evolve with the threat landscape.
A cryptographic governance hub we built ourselves. Every agent action — offensive or defensive — flows through ParviGov's LAG chain (tamper-evident ordering), AWP witness (offline-verifiable results), and PayBotFin receipts (durable evidence). Audit-grade governance by default, not an afterthought.
A full agentic browser with 26 MCP tools that we engineered. Defenders and attackers operate through one governed engine — not bolted-on scripts. Native browser visibility and action, every step witnessed and logged.
Our own multi-LLM execution engine. Master→workers architecture spawns agent sessions across environments with governance baked in. The right model for the right task — reasoning, extraction, or security-specialized — every session chained and witnessed.
Agents that remember. Every threat, every defense, every outcome feeds ParviALMA — our governance-aware memory layer. Defenders get smarter with every engagement: threat intelligence that compounds, not static rules.
We didn't license this — we built it. The entire Parvi suite (ParviGov, ParviSight, ParviClaw-core, ParviALMA) is our own technology, engineered from the ground up for governed agentic security. This is what sets AgenticTestari apart.
Our defenders and pentest agents are built on the Parvi stack — the same governed agent platform that powers FriendlyAI. Each Parvi component is a force multiplier for security operations.
The governance core. Every agent action — click, exploit, defense — flows through ParviGov producing tamper-evident audit trails (LAG chain + AWP witness + PayBotFin receipt). The foundation of our compliance story.
Rust-first agentic browser with 26 MCP tools. Dual projection (human + machine). All offensive tools fire through ParviSight under Rules of Engagement — one canonical, governed engine.
Multi-terminal, multi-LLM execution engine. Master→workers architecture spawns agent sessions across environments. The right model for the right task — reasoning, extraction, or security-specialized.
Agent memory built on open-source ALMA (MIT). Defenders recall past threat patterns, learn from every engagement, and improve over time. Threat intelligence that compounds.
Surface Pulse (€2,500 one-time + VAT) = one public website, L3 Max, automated. Unlimited (€1,995/month paid yearly · €23,940/year + VAT) = unlimited use with your own AI API. Behind login / SaaS / CRM / intranet = planning + RoE + custom quote. Offensive is separate and quote-only.
A FriendlyAI brand. FriendlyAI is a Finnish high-tech company building the next generation of governed agentic systems. AgenticTestari is led by a senior software tester turned AI developer with 15+ years in quality assurance and security testing — combining deep QA and security expertise with cutting-edge AI agent technology.
A FriendlyAI brand, based in Finland — built on trust, transparency, and engineering rigor.
Led by a senior software tester turned AI developer with over 15 years in quality assurance and security testing.
Deep testing and security expertise applied to cutting-edge agentic defense — finding what others miss, by design.
AgenticTestari is led by Renata Baldissara-Kunnela, a senior software tester turned AI developer with over 15 years in quality assurance and security testing. Finnish engineering precision meets agentic defense.
Book a pentest, request a Sentinel-Hub demo, or ask about our compliance evidence. We'll get back to you within 48 hours.
AgenticTestari