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Robowise // AI Security Practice

AI models got smarter.
So did the adversaries.

The same breakthroughs powering enterprise AI are being weaponized at scale. We build AI products — which means we know exactly where they break.

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3,000%
increase in AI-powered phishing since 2024
67%
of organizations hit by AI-assisted attacks in 2025
<4 min
average time for an AI agent to find a critical vuln
$12.4B
estimated losses from AI-enabled fraud in 2025

Threat landscape

What you're up against

AI capabilities compound quarterly. Adversaries adopt them faster than defenders. These aren't theoretical risks — they're in-the-wild attack patterns.

Autonomous Hacking Agents

AI agents that chain exploits, pivot through networks, and adapt to defenses in real-time — no human operator required.

Deepfake Impersonation

Voice clones and video synthesis targeting executive communications, wire transfers, and access control.

Model Poisoning

Adversarial manipulation of training data and model weights to embed backdoors or degrade performance on critical tasks.

AI-Scale Phishing

Personalized, context-aware phishing generated at scale — indistinguishable from legitimate communications.

Prompt Injection

Exploiting LLM integrations to exfiltrate data, bypass controls, or execute unauthorized actions through crafted inputs.

Capability Escalation

Each model generation amplifies offensive capabilities. What required a team last year now takes a single agent minutes.

Services

Full-spectrum AI security

Offense-informed defense across the AI lifecycle — from model development to production deployment.

AI Red Teaming

We attack your AI systems the way real adversaries will — autonomous agents, prompt injection chains, model extraction — before they do.

Model Security Audits

End-to-end review of ML pipelines: training data integrity, model weights, inference endpoints, and supply chain dependencies.

LLM Hardening

Guardrails, output validation, prompt injection defense, and jailbreak resistance for production language model deployments.

AI Threat Intelligence

Continuous monitoring of AI-powered threat actors, emerging attack toolkits, and adversarial technique evolution.

Secure AI Infrastructure

Architecture review and hardening for ML-ops: model registries, training clusters, GPU environments, and data pipelines.

Incident Response

Rapid containment and forensics for AI-related breaches — model compromise, data exfiltration via AI agents, and deepfake incidents.

Methodology

Builders who break things

We're an AI venture studio. We ship models, agents, and products daily. That hands-on offensive understanding is what makes our defense work different.

01

Threat Model

Map your AI attack surface — models, data flows, integrations, and human touchpoints.

02

Adversarial Simulation

Test with real-world AI attack techniques, not theoretical checklists.

03

Harden & Implement

Deploy defenses calibrated to your risk profile and operational constraints.

04

Continuous Monitoring

Detect model drift, adversarial probes, and anomalous behavior in real-time.

Why us

We don't just audit AI — we build it

Studio pedigree

Active AI product portfolio means our security team works with real models, real deployments, real attack surfaces — daily.

Offense-first mindset

We think like attackers because we build the same tooling they use. Checklists miss what adversarial thinking catches.

Execution, not theater

No 200-page reports that collect dust. Actionable findings, prioritized remediations, and hands-on implementation support.

Don't wait for the breach

The threat surface is expanding with every model release. Let's assess your exposure before adversaries do.

security@robowise.ai