AI-Augmented Cybersecurity

Attackers now use AI to find and exploit weaknesses at machine speed. We help you get ahead of them, secure the AI you deploy, and show your auditors and regulators the evidence for both.

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The challenge

The threat moved. Most security programs didn’t.

AI has changed both sides of the fight. Attackers use it to turn a new disclosure into a working exploit within hours: in the first half of 2025, 32.1% of known exploited vulnerabilities showed exploitation on or before the day they were disclosed (VulnCheck, July 2025). The models, agents and data pipelines you deploy open new attack surface, and regulators expect evidence, not assurances.

Triage can’t keep up with exploitationBacklogs run to tens of thousands of findings while triage is still manual, so analysts spend their days classifying instead of deciding.
AI is new, ungoverned attack surfacePrompt injection, data poisoning and over-permissioned agents sit outside the controls your program was built on, and reviewers now ask how you govern AI, not whether you use it.
Open findings compoundEvery review cycle a finding stays open costs credibility and management attention, and makes the next request to your regulator harder.

The opportunity

Defence at the same speed as the attack.

The AI that compressed the attack cycle can compress your defence: triage and classification in hours, with analysts focused on the calls that need judgment.
AI deployed with real controls becomes an advantage, so you can ship while others stall pilots over security concerns.
Evidence produced as a by-product of daily work, not rebuilt before each audit.
Findings closed with a documented root cause, which builds credibility with auditors and regulators for what you want to do next.

How we help

Four services, one program.

Each is scoped and sold on its own. Most clients start with whichever problem is most urgent, then add the others as the program matures.

Exposure defence at machine speed

We rebuild vulnerability and exposure management so triage takes hours, not weeks, and decisions keep pace with threats.

AI system hardening

We threat-model and secure the models, agents and pipelines you put into production.

AI for security operations

AI-drafted rollback plans, pre-cleared approvals and consistent governance that hold up when things move fast.

Audit and regulatory readiness

We prepare your team for reviews and close open findings with evidence that holds up under scrutiny.

What you get

Fortify what AI puts at risk.

Most programs have never been tested against a major, widely exploited disclosure, so nobody knows where they would break. We run yours through a simulated scenario, then use that baseline to build a two-layer decision system: a deterministic core for triage and classification, and a language-model layer that drafts audit-ready reasoning for each decision.

Live threat intelligence, including CISA’s Known Exploited Vulnerabilities catalogue (KEV), the Exploit Prediction Scoring System (EPSS) and vendor advisories, feeds triage continuously.
Where you can’t patch right away, AI-drafted web application firewall (WAF) rules act as compensating controls, each with an expiry date.
We threat-model your AI systems the way attackers would: prompt injection paths, agent permissions and tool access, the integrity of training and context data, and model and API exposure.
We build the controls traditional tools miss, including least-privilege agent design, input and output guardrails, and monitoring for AI-specific failures.
We map your program to the standards and supervisory expectations that apply to you, fix open findings at the root cause, and package a traceable evidence layer with board-ready metrics.
Every phase produces evidence your security team can attest to, so the proof is ready before a review starts.

How an engagement works

Start with what’s most urgent, then build the program.

Simulate a major disclosureWe run your program through a realistic scenario to find where it would break.
Set the baselineTriage time, backlog, open findings and control coverage, measured before anything changes.
Fix the most urgent gapOften an exposure-triage backlog or an open audit finding, scoped and delivered on its own.
Build the programAdd AI hardening, security operations and audit readiness as the program matures.

Questions

What buyers ask us.

What do your AI cybersecurity services include?

AI-assisted vulnerability triage, exposure management, incident response, control drafting and audit evidence, with people reviewing the decisions that matter.

Do we still need our analysts?

Yes. They stop doing classification work and spend their time on the judgment calls.

What does it mean to secure AI systems?

Treating your own models, agents and data pipelines as attack surface: defending against prompt injection, limiting what agents are allowed to do, protecting training and context data, and monitoring for failures traditional tools don’t see.

How does this help with audits and findings?

Before a review, we map your program to the standards and supervisory expectations that apply and close gaps with evidence. After one, we fix findings at the root cause and document it, so they’re far less likely to reopen.

Where do most clients start?

With whichever problem is most urgent, often a triage backlog or an open finding. Each service is scoped and sold on its own.

Our mind