SaaS AI
- Typical examples
- Public generative AI, AI office tools
- Main risks
- Shadow AI, data leakage, account misuse
- Priority controls
- Discovery, usage rules, logging and DLP
Security for AI & AI for Security
Use AI with confidence. Run security with AI.
See and protect how your people use AI — and make security operations stronger with AI.
Sound familiar?
AI is convenient — but these worries are growing
Employees use AI on their own
Unknown is spreading.
Is confidential data going into AI?
Customer data or designs may be sent to outside AI services.
Copilot can see files it should not
Loose permissions let answers include information that should stay hidden.
AI agents have too much access
can reach more data and actions than they need.
No record of AI use for audits
You cannot check later who sent what to AI, and when.
Not enough security staff
Alerts and logs keep growing, but there are not enough people to watch them.
In a nutshell
「Start with the security already built into each AI tool.」
Permissions, sensitivity labels and audit logs already come with AI products such as Copilot. ARGIS takes those records and watches for risky use, 24/7.
Four stages of AI adoption
As AI use matures, what you must protect changes
- 1
Personal use
SaaS AI for translation and writing. Main risks: data leaving the company and shadow AI.
- 2
Embedded in business
AI enters CRM and business systems. Permission inheritance and misconfiguration grow.
- 3
In-house AI
Private AI and internal search go live. Over-broad access to documents becomes the issue.
- 4
AI agents
AI uses tools and acts on its own. You must guard against wrong actions and takeover.
Risk by AI usage pattern
Each way of using AI needs different controls
No single product covers everything — controls must match each pattern.
Private AI
- Typical examples
- Own models, internal search, internal AI apps
- Main risks
- Attacks on AI, over-broad retrieval
- Priority controls
- Runtime defense, retrieval permissions
AI agents
- Typical examples
- Agents, , automation tools
- Main risks
- Identity abuse, tool misuse, autonomous actions
- Priority controls
- Least privilege, tool allow-lists, approval before action
How we work
We start by finding out how AI is used today
- 01
AI usage discovery
Inventory shadow AI, data flows and agents.
- 02
Risk assessment
Rank risks by usage pattern.
- 03
Control design
Design rules, permissions and audit.
- 04
Deployment
Connect each AI tool’s built-in security to ARGIS and collect the logs.
- 05
24/7 operations
AI agents and experts watch and keep improving.
How it works
One system that controls AI and watches over it
Security built into each AI tool records usage, ARGIS analyzes those logs, and our 24/7 SOC decides and responds.
What we protect
In-house AI
- Private models
- Internal search (RAG)
- Internal apps
SaaS & agent AI
- Copilot
- Generative AI
- MCP and more
Existing security tools
- EDR
- Identity
- Firewall
- Cloud
Usage and audit logs from each AI tool
Control & analysis
Security built into the AI tools
- Access control in the product
- Labels and data protection
- Content filtering
- Audit logs
- Admin policies
- Limits on what it can reach
ARGIS (unified security operations)
- Find shadow AI
- Investigate sensitive data
- Watch for misuse of AI
- Detect abnormal accounts
- Correlate with endpoints
AI security logs → ARGIS → SOC decision & response
Operations
24/7 SOC
- AI agents handle first response
- Experts handle second line
Six control areas
Know. Limit. Block. Prove.
We protect AI from six angles at once.
Visibility
List every AI app, agent and shadow AI.
Identity
Manage identities and permissions for people and agents.
Data
Find and mask sensitive data, limit what AI can see.
Runtime control
Stop risky prompts and tool actions as they happen.
Governance
Set approved AI, budgets and rules, and keep evidence.
Operations
Collect and analyze AI logs and watch 24/7.
Six typical scenarios
From spotting to stopping — every time
Shadow AI
- What happens
- Unapproved AI is used
- How we detect
- Continuous discovery, matched to identities and data flows
- How we stop it
- Block access and guide users to approved services
Prompt injection
- What happens
- Hidden instructions hijack the AI
- How we detect
- Inspect every prompt and response; classify the attack
- How we stop it
- Reject the prompt and end the session
Sensitive data leakage
- What happens
- Confidential data goes into or out of AI
- How we detect
- Trace sensitive data in prompts, retrieval and output
- How we stop it
- Mask it, cut the path and open a ticket
Rogue agents
- What happens
- An agent uses tools it should not
- How we detect
- Watch tool calls and privilege changes; detect lateral movement
- How we stop it
- Revoke its identity; deny risky actions by default
Abnormal accounts
- What happens
- An account behaves unusually
- How we detect
- Compare with normal behavior and rebuild the sequence
- How we stop it
- Suspend and require extra verification
Runaway AI cost
- What happens
- AI usage and cost suddenly spike
- How we detect
- Track usage per agent and team in real time
- How we stop it
- Enforce quotas; throttle or stop the workload
What you gain
Get the most from AI — safely
Adopt AI faster, without stopping
Instead of banning AI, set rules that make it safe to use.
Run critical AI safely and reliably
Protect business-critical AI from attacks and malfunction.
Grow usage, keep risk and cost in check
Keep permissions, records and spend under control as use grows.
FAQ
Q.Do we have to ban AI?
No. We make AI use visible and control only what needs protecting, so staff can keep using safe AI.
Q.We already use Copilot. Where do we start?
Start by reviewing permissions and sharing so Copilot cannot surface files it should not.
Q.Can we keep our current security tools?
Yes. We connect logs from your EDR, firewall and other tools to ARGIS and analyze them alongside AI logs.
Q.Can we try it for free?
ARGIS-SOC offers a 1-month free trial (conditions apply). Start with a free consultation.
Start by seeing how AI is used in your company today.
In a free 30-minute call, we will map where you are and what to fix first.