AI and Machine Learning’s Contribution to Improving Data Security

By Michael Byrne

August 19, 2024 3 Min Read

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Artificial intelligence is changing how defenders spot and stop threats. Instead of waiting for alerts to fire, models watch behaviour, score risk, and act in near real time. For business file sharing and storage, that means fewer blind spots, fewer false positives, and faster recovery. My MX Data focuses on secure, traceable exchange between named users, with full audit trails and the ASR quantum secure patented methodology. These capabilities feed high quality signals to AI tooling and facilitate GDPR friendly operations.

Table Of Content

What AI gets right for data security
Signals and outcomes you can measure
Where AI fits in secure file exchange
Common questions about AI in security
Will AI eliminate false positives?
Can AI protect against future decryption?
What about data privacy when training?
Four steps to add AI safely
Start with clean signals
Define action boundaries
Measure drift and bias
Automate evidence packs
What this looks like with My MX Data
A clear takeaway
Essential Reads
Sources

What AI gets right for data security

In one sentence: AI turns noisy telemetry into focused action.

Anomaly detection: Models learn normal logins, devices, and data access, then flag unusual behaviour via UEBA User and Entity Behaviour Analytics, used to baseline typical activity and score deviations. .
Malware and phishing classification: File heuristics, sandbox outputs, and link features are scored to reduce dwell time.
Policy automation: AI suggests or applies least privilege, expiry, and data access approvals.
Triage and response: Events are clustered, prioritised, and enriched, so humans focus on the incidents that matter.

Signals and outcomes you can measure

Good security programmes track time to detect, time to respond, and policy adherence. AI improves each by reducing noise and accelerating investigation.

39%

Cloud Data

Used for file sharing

258

Days

Find and contain breaches

9.3%

Growth

Secure transfer market

Sources: 6sense, TechTarget, Market sizing, Datamation.

Where AI fits in secure file exchange

Here is a compact map of AI use cases for business sharing, plus how My MX Data provides clean inputs and controls.

AI use case	Security outcome	How MX Data helps
Behaviour analytics	Flags unusual access and transfers	Named users and end to end logs provide high quality signals
Automated policy checks	Enforces expiry and least privilege	Granular permissions, expiry and revocation support AI decisions
Threat scoring	Prioritises phishing and malware	Version control and auditability speed investigation and rollback

AI use case Behaviour analytics

Outcome Unusual access flagged

MX Named users, full logs

AI use case Policy checks

Outcome Expiry enforced

MX Permissions, revocation

Common questions about AI in security

Short answers that keep projects grounded.

It reduces noise, not reality. Models still need feedback loops Analysts mark outcomes so the model learns which patterns are benign or malicious. and policy guardrails.

AI does not change cryptography. My MX Data’s ASR methodology supports long term confidentiality, and AI can help verify correct control usage.

Use data minimisation Keep only what you need for the stated purpose, for the shortest time required. , pseudonymisation, and strong access controls. MX facilitates these practices with named users and audit trails.

Four steps to add AI safely

A compact rollout that respects risk and privacy.

Start with clean signals

Enable end to end audit in MX, standardise metadata, and ensure named user access.

Define action boundaries

Allow AI to suggest, then require human approval for critical changes at first.

Measure drift and bias

Track model performance and add periodic reviews of false positives and misses.

Automate evidence packs

Export MX logs and AI decision trails so audits are fast and transparent.

What this looks like with My MX Data

MX provides unlimited file size transfer, regional shard placement for data sovereignty, full audit trails, and the ASR methodology. These controls give AI tools reliable context and facilitate responsible governance. Explore encrypted file sharing, features, and our note on quantum aware protection.

A clear takeaway

AI makes security faster and sharper by detecting anomalies, prioritising threats, and automating guardrails. Pair it with named user access, full audit trails, strong encryption, and the ASR methodology in My MX Data to keep confidentiality high and audits quick.

Begin with clean signals and clear boundaries, then automate the evidence.

Essential Reads

Sources

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AI and Machine Learning’s Contribution to Improving Data Security

Table Of Content

What AI gets right for data security

Signals and outcomes you can measure

Where AI fits in secure file exchange

Common questions about AI in security

Will AI eliminate false positives?

Can AI protect against future decryption?

What about data privacy when training?

Four steps to add AI safely

Start with clean signals

Define action boundaries

Measure drift and bias

Automate evidence packs

What this looks like with My MX Data

A clear takeaway

Essential Reads

Sources

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