Technology, data and AI. Chief Information Security Officer
AI for the CISO Office
Attackers already use AI. Your own agents are the new attack surface.
Alerts arrive faster than analysts can read them. Fake voices approve payments. And every new AI agent in the company is one more identity with access to data. We map the CISO Office the way your security team actually works, then put agents where they speed up defence and keep the company’s own agents safe.
The short answer
It helps you keep up with attackers who already use AI. Agents enrich, group and rank alerts before an analyst looks, detect deepfake voices and video, rank vulnerabilities by real exposure, review supplier security reports and draft incident reports as events unfold.
Your team keeps the judgment and the response. And because every agent is also a new identity with access, securing the company’s own agents is now part of the job. We help with both.
The mandate
Protect people, systems, data and agents. And keep the business running if an attack lands.
What the board measures you on
Time to detect
And time to respond
Critical vulnerabilities
Open past their deadline
Privileged access
People and agents
Third party risk
Across critical suppliers
Phishing click rate
And fraud attempts stopped
Compliance
NIS2, DORA and ISO 27001
The canvas of the CISO Office
Most security AI is a faster SIEM. The new risk sits in fraud that looks human and agents that act on their own, and the reporting rules that leave no time to spare.
Canvas 1
What you run
The defence, every day.
Security operations
SOC, detection and incident response.
Identity and access
Who and what can access which systems, including agents.
Vulnerability management
Finding and fixing weaknesses across the estate.
Fraud and impersonation
Deepfakes, payment fraud and social engineering.
Security awareness
Training and testing people.
Canvas 2
What you answer for
The things the board and regulators hold you to.
Security of AI agents
Permissions, prompt injection, data leakage and agent identity.
Third party security
Suppliers, their access and their incidents.
Regulatory compliance
NIS2, DORA, ISO 27001 and sector rules.
Incident reporting
Early warnings and notifications on time, with evidence.
Where value leaks
Each one gives an attacker a little more time, or the business a little more exposure, than it needs to.
01
Alert fatigue
Analysts drown in alerts and miss the real ones.
Triage agents. Enrich, group and rank alerts by real risk before a person looks.
Time to detect
Analyst hours per case
02
Deepfake and impersonation fraud
Fake voices and video used to approve payments.
Detection agents. Check calls, video and media for synthetic content and flag them in real time.
Fraud attempts stopped
Losses avoided
03
Over privileged agents
AI agents with more access than their job needs.
Agent security. Least privilege per agent, run time rules, injection tests and a full action log.
Over privileged agents
Agent incidents
04
Supplier reviews by hand
Questionnaires and audit reports read one by one.
Review agents. Read security reports and questionnaires, score suppliers and flag gaps.
Review time per supplier
Suppliers reviewed
05
Patch backlog
Critical fixes wait behind low risk ones.
Prioritisation agents. Rank fixes by exploitability and business impact and route them to owners.
Critical vulns past deadline
Time to patch
06
Incident reports under pressure
The clock for regulators starts while the team is still fighting the incident.
Reporting agents. Build the timeline and evidence as events happen and draft NIS2 and DORA reports for review.
Reports on time
Hours spent reporting
Process lifecycles
We start from your security stack. The orange steps are where an agent takes on the work, and people stay in charge of every containment and response decision.
Detect to respond
Every alert
Detect
Triage
Enriched and ranked
Agent
Contain
Eradicate
Recover
Report
Timeline and evidence
Agent
Typical systems. Splunk, Microsoft Sentinel, CrowdStrike, SOAR
Identity lifecycle
Every person and agent
Joiner
Mover
Leaver
Access review
Unused rights flagged
Agent
Agent review
Permissions checked
Agent
Typical systems. Okta, Microsoft Entra, SailPoint
Third party risk
Every critical supplier
Assess
Reports and questionnaires read
Agent
Approve
Monitor
Ratings and incidents
Agent
Offboard
Typical systems. OneTrust, BitSight, SecurityScorecard
Agent security
Every AI agent
Register
Set permissions
Least privilege
Agent
Test
Injection and leakage
Agent
Monitor
Every action logged
Agent
Revoke
Typical systems. Agent registry, IAM, Cortex, AI security testing tools
Agent intervention point
The CISO control tower
Not a monthly risk heatmap. A live view of what’s being attacked, what’s exposed and which agents have more access than they should.
Illustrative
CISO control tower
Sample data to show the view. Not client results.
Time to detect
14 min
▼ from 3 hours
Time to respond
2.1 h
▼ 61%
Past deadline
9
Critical vulns
Agent access
3
Over privileged
Deepfakes stopped
4
This quarter
Phishing clicks
3.8%
▼ 2.1 pts
This week’s security brief
Fraud
Synthetic voice call imitating the CFO asked for an urgent transfer
Flagged in real time. Payment held for verification
Agents
Three agents hold write access they haven’t used in 60 days
Access reduction proposed to owners
Supplier
Critical payroll supplier reported a breach
Exposure mapped. Questions sent. DORA log updated
Faster
Phishing cases now triaged in under 5 minutes
Down from 40. Triage agent
From alerts to real incidents, this week
Raw alerts
48k
Cases
310
To analysts
42
Incidents
6
Analysts saw 42 ranked cases, not 48,000 alerts. All six real incidents were in the top ten.
Illustrative example. Figures are invented to show how the view works. In discovery we build it on your own data and KPIs.
Your industry changes the agenda
The canvas stays the same. What attackers want, and what regulators expect, does not. Here’s the question we hear most from security leaders in each industry, and where agents help first.
CPG
How do we protect brand and supply chain from fraud and attack?
Supplier risk and impersonation detection
FMCG
How do we secure many markets with one small central team?
Alert triage across regions
Retail
How do we protect payments and customer data at peak?
Fraud detection and alert triage
D2C
How do we secure a SaaS heavy stack with no SOC of our own?
Triage agents and identity reviews
Automotive
How do we secure connected vehicles and plants together?
Vulnerability ranking across IT and OT
Healthcare
How do we stop ransomware without disrupting care?
Faster detection and patch prioritisation
Energy
How do we meet NIS2 as essential infrastructure?
Incident reporting and OT alert triage
Manufacturing
How do we protect plants that run on old systems?
Exposure ranking for legacy assets
Logistics
How do we secure hundreds of partner connections?
Third party reviews and access monitoring
BFSI
How do we meet DORA and stop deepfake payment fraud?
Deepfake detection and incident reporting
B2B technology
How do we prove security to customers who audit us constantly?
Questionnaire answering and evidence agents
How the CISO Office connects
Every system the CIO runs, every product the CTO ships and every agent the Chief AI Office approves becomes the CISO’s problem the moment it goes live. The agents that serve the CISO Office share the same registry and controls as those offices, so security is built in, not bolted on.
How we’d start
Pilot 1
Alert triage on one SOC queue
↳
Triage agents on your noisiest alert source
↳
Alerts enriched, grouped and ranked before analysts see them
↳
Measured on time to detect, analyst hours and missed incidents
Your decision
Which queues and sources to add next.
Pilot 2
Every agent’s access, checked
↳
Every AI agent and tool in use found, with the access it holds
↳
Unused and excessive permissions flagged with owners
↳
Injection and data leakage tests on the highest risk agents
Your decision
The standard every agent must meet before it goes live.
Both run under our Validation First Framework. They’re tested on your own data before you commit a larger budget, and if the numbers don’t hold, we tell you.
Your intervention map
Bring your SOC metrics, your top risks and the incident you never want to repeat. We bring the CISO Office canvas. In one session we map it to your stack and team, and mark where agents would cut risk first.
01
Your CISO Office canvas
What you run and answer for, checked against how your SOC, identity and risk teams really work.
02
Your value chain
The canvas placed on your industry and company, showing which assets and suppliers matter most.
03
Your intervention points
Each leak with an agent design, its controls and the KPI it moves. Delivered as a mind map, an architecture view or an interactive dashboard.
AI for the CISO Office, answered
What can AI do for the CISO Office?
Agentic AI helps security teams keep up with attackers who already use AI. Agents enrich, group and rank alerts before an analyst looks, detect deepfake voices and video, rank vulnerabilities by real exposure, review supplier security reports and draft incident reports. They also need securing themselves, which is now part of the CISO’s job.
How can AI reduce alert fatigue in the SOC?
Triage agents read every alert, add context from identity, asset and threat data, group related alerts into one case and rank them by real risk. Analysts start from a short list of cases with the evidence attached, instead of thousands of raw alerts.
How do you secure AI agents?
Treat every agent as an identity. Give it only the access its job needs, set run time rules for what it can do, test it against prompt injection and data leakage, log every action and review its permissions regularly. An agent registry makes this manageable at scale.
Can AI detect deepfake fraud?
Yes. Detection agents analyse voice, video and media for signs of synthetic content, for example on payment approval calls or video meetings with executives. They flag suspicious interactions in real time so a person can verify before money moves.
How can AI help with NIS2 and DORA?
Both rules demand fast, accurate incident reporting and close control of third parties. Agents assemble the incident timeline and evidence as it happens, so early warnings and notifications go out on time, and they keep supplier risk reviews current with every report and questionnaire read.
Where should a CISO start with agentic AI?
With alert triage on one SOC queue, measured on time to detect and analyst hours. In parallel, review the permissions of every AI agent already running in the company. Both cut risk quickly and build the foundation for the rest.
