04AI for Cyber

Defend at
machine speed.

AI-driven threat detection, autonomous response, and machine-speed containment form the backbone of a modern defensive posture — built to operate continuously, across every layer, with complete coverage across the full vulnerability estate.

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The Threat Landscape

The gap between disclosure and exploit has collapsed.

In 2020, attackers needed an average of 1.3 years to weaponize a disclosed vulnerability. In 2026, that window is 1.6 days. Mean time-to-exploit has compressed by orders of magnitude — and the organizations best positioned to respond are those that have already shifted detection, triage, and containment to machine-speed execution.

OrwyTech delivers AI-augmented security operations designed for this compressed threat window — continuous detection, automated enrichment and triage, and containment that responds across the full vulnerability estate in real time.

1.6
days mean time-to-exploit after disclosure
// down from 1.3 years in 2020 / Source: industry threat intelligence, 2026
32%
of all 2025 intrusions via vulnerability exploits — the #1 vector, 6 years running
// global threat intelligence, 2025
6hr
automated attacks begin within 6 hours of CVE assignment
// before most enterprise patch cycles even begin
"OrwyTech designs security operations for the current threat environment — AI-augmented detection, autonomous triage, and machine-speed containment that operate continuously across the full vulnerability estate."
Strategic Framework

Our 3-Pillar AI Security Strategy.

Every AI for Cyber engagement is structured around our three-pillar model — a comprehensive framework for organizations operating at the intersection of AI and cyber defense. We implement all three simultaneously, because they're interdependent.

PILLAR 01
Secure Your AI
Agent governance: visibility into what your AI systems are doing, guardrails that prevent unsafe actions, and runtime protection that catches anomalous behavior as it happens. Your AI deployment surface secured from the inside.
PILLAR 02
Secure With AI
AI-augmented SOC: threat intelligence fused into detection in real time, AI agents that triage, correlate, and respond to alerts end-to-end. Active control validation that proves your defenses hold against current attacker behavior — not last year's.
PILLAR 03
Secure From AI
Adversarial threat detection tuned for AI-powered attacks: machine-generated phishing, automated exploitation chains, LLM-assisted intrusion. Machine-speed containment that isolates and blocks before the blast radius spreads.
The Roadmap

Eight milestones from hygiene to autonomous defense.

Our Modern AI Integrated Defensive Roadmap maps the maturity path from baseline security hygiene to an autonomous, AI-augmented defense posture. We implement this roadmap sequentially — each step builds on the last, and each step is independently auditable.

STEP 01
Secure Code and Pipeline
Harden the software supply chain and CI/CD environment before anything reaches production. SAST, DAST, SCA, secrets detection, and dependency pinning. Prevent the compromise at the source.
STEP 02
Dynamic, AI-Driven Security Operations
Shift from static rules to adaptive, AI-led detection and response. Alert triage and enrichment automated. Mean-time-to-respond measured in minutes, not hours. Human analysts supervise; AI operates.
STEP 03
Reduce Attack Surface / Contain Blast Radius
Network segmentation, least-privilege enforcement, and blast-radius design so a single compromised credential cannot become a full breach. Microsegmentation where warranted.
STEP 04
Continuous Asset Discovery & Posture Management
Always-on inventory and posture monitoring so every asset is accounted for and nothing is defended in the dark. Shadow IT surfaces. Unknown attack surfaces are named and managed.
STEP 05
Expand Automated Scanning Coverage
Vulnerability and misconfiguration scanning scaled across the full estate. No gaps, no out-of-scope assets, no quarterly-scan theater. Continuous, automated, comprehensive.
STEP 06
Network Patching & Limit Connectivity
Fast patching cadence on network devices, restricted reachability to reduce exposure, and network architecture that limits what an attacker can reach if they're inside.
STEP 07
Formalize Emergency Remediation SLAs
Pre-agreed, time-boxed remediation SLAs by severity tier. Critical fixes ship in hours, not weeks. The SLA is contractual, not aspirational — and the workflow that enforces it is automated.
STEP 08
Secure AI Agents + Governance
Bring your AI systems under a formal Secure AI Framework as they enter the defense stack. This connects directly to Service 05: Cyber for AI.
Framework Alignment

Built on recognized standards.

Every AI for Cyber engagement maps to the frameworks your auditors and regulators already use — global best practice and KSA mandate together. We don't invent our own checklist; we build to the standards that define the field.

NIST CSF 2.0 AI ProfileUSA / NIST IR 8596
Extends your existing NIST posture to cover securing AI systems, AI-enabled defense, and countering AI-enabled attacks.
NSA / CISA — Secure AI in OTCritical Infrastructure
Principles for secure-by-design AI in OT and ICS environments — the backbone for IT/OT defense engagements.
NCA ECC-2:2024KSA / Mandatory
Saudi National Cybersecurity Authority controls covering AI and MLOps environments for government and CNI operators.
MITRE ATLASThreat Modeling
The adversarial TTP taxonomy for AI systems — the reference for red-teaming and detection engineering against AI threats.
Featured Capability

LLM Security Gateway: proxy defense for every model.

Our LLM Security Gateway is a security proxy that sits between your users and any LLM deployment — commercial or open-source. Every prompt passes through it. Every response passes through it. It evaluates policy in real time, blocks prompt injection attempts before they reach the model, and prevents sensitive data from leaking out through model outputs.

For organizations running multiple LLM deployments across business functions, the gateway is the single security control layer — one policy engine, consistent enforcement, full audit trail regardless of which model is being called.

CAPABILITY 01
Prompt Injection Defense
Intercepts and evaluates every user prompt before it reaches the model. Blocks known injection patterns, flags anomalous prompt structures, and enforces policy on what instructions models are allowed to receive.
CAPABILITY 02
Data Leakage Prevention
Filters model outputs for sensitive data patterns — PII, credentials, internal system references — before they reach the end user. Prevents exfiltration-via-LLM attacks where the model becomes an unwitting data channel.
CAPABILITY 03
Universal LLM Coverage
Compatible with any major LLM, commercial or open-source. One proxy, one policy engine, one audit log — across your entire LLM deployment surface.
CAPABILITY 04
Real-Time Policy Enforcement
Policy evaluation happens in the request path — not as a post-hoc audit. Blocks happen before damage. Logs capture the full context of every blocked interaction for incident analysis and policy refinement.
AI-Augmented SOC Threat Detection Autonomous Response LLM Security Gateway Prompt Injection Defense Zero-Day Defense Machine-Speed Containment
Take Action

Your adversary doesn't sleep.
Your defense shouldn't either.

Let's assess where your security operations stand against machine-speed threats and map the steps to close the gap — starting with the highest-risk exposure.

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