AI Updates
  • Latest News
  • Models & Research
    • AGI & Alignment
    • AI Agents
    • Foundation Models
    • Generative AI
    • Open Source AI
    • Research & Papers
    • Rankings & Benchmarks
  • Infrastructure
    • Chips & Semiconductors
    • Cloud & Networking
    • Data Centers & Neoclouds
    • Developer Platforms
    • Quantum Computing
  • Business
    • Big Tech Strategy
    • Mergers & Acquisitions
    • Public Markets
    • Startups & Funding
    • Talent & Leadership
    • Market Analysis
  • Applications
    • Consumer & Creative
    • Cybersecurity
    • Education & Media
    • Enterprise & Productivity
    • Finance & Legal
    • Healthcare & Life Sciences
    • Industry & Manufacturing
    • Science & Discovery
  • Robotics
    • Autonomous Vehicles
    • Drones & Defense
    • Edge AI & Embodied Intelligence
    • Robotics
  • Energy
    • Cooling & Water
    • Efficiency & Emissions
    • Electricity & Power Grids
    • Nuclear & Renewables
  • Policy & Society
    • AI Safety & Security
    • Copyright & Misinformation
    • Geopolitics
    • Privacy & Human Rights
    • Regulation & Government
    • Work & Society
Stay Ahead of AI

Get the AI developments that matter, delivered to your inbox.

Follow AI Updates
Facebook
Twitter
Instagram
  • Home
  • About
  • News
  • Contact
  • Newsletter
0
0
0
AI Updates AI Updates
AI Updates
  • Latest News
  • Models & Research
    • AGI & Alignment
    • AI Agents
    • Foundation Models
    • Generative AI
    • Open Source AI
    • Research & Papers
    • Rankings & Benchmarks
  • Infrastructure
    • Chips & Semiconductors
    • Cloud & Networking
    • Data Centers & Neoclouds
    • Developer Platforms
    • Quantum Computing
  • Business
    • Big Tech Strategy
    • Mergers & Acquisitions
    • Public Markets
    • Startups & Funding
    • Talent & Leadership
    • Market Analysis
  • Applications
    • Consumer & Creative
    • Cybersecurity
    • Education & Media
    • Enterprise & Productivity
    • Finance & Legal
    • Healthcare & Life Sciences
    • Industry & Manufacturing
    • Science & Discovery
  • Robotics
    • Autonomous Vehicles
    • Drones & Defense
    • Edge AI & Embodied Intelligence
    • Robotics
  • Energy
    • Cooling & Water
    • Efficiency & Emissions
    • Electricity & Power Grids
    • Nuclear & Renewables
  • Policy & Society
    • AI Safety & Security
    • Copyright & Misinformation
    • Geopolitics
    • Privacy & Human Rights
    • Regulation & Government
    • Work & Society
A cybersecurity analyst weighing rapid containment against the continuity of a hospital service
  • Cybersecurity

Ethical Cybersecurity Balances Containment With Consequence

  • September 26, 2025
  • No comments
Total
0
Shares
0
0
0
0

An automated response can stop ransomware quickly and still cause serious harm if it disconnects a hospital computer or a bank workstation at the wrong moment. Romanus Prabhu Raymond of ManageEngine uses that tension to explain why ethical cybersecurity is an operational requirement rather than an abstract statement of values.

His approach extends security beyond defending systems to protecting organisations, individuals, and society responsibly. Privacy, transparency, fairness, and human oversight must shape how data is collected and how controls act, especially as AI increases the speed and reach of detection and containment.

Security teams regularly make choices between confidentiality, availability, safety, and privacy rather than maximising one value without limit. Ethical practice gives those trade-offs a repeatable process, ensuring exceptional emergency powers are justified, recorded, time-limited, and reviewed once the immediate threat has passed.

Fast Containment Can Create New Harm

Customers wanted aggressive responses to ransomware families such as Akira and Ryuk, but automatic quarantine can interrupt clinical care, payments, or other critical operations. The security event and the defensive action therefore belong in the same risk calculation. Scale makes the surrounding controls more important, since a small error rate can still create substantial operational work when the system handles millions of interactions. Sampling should therefore continue after launch, with high-consequence cases receiving more scrutiny than routine low-risk outputs.

Organisations can classify assets by operational criticality and predefine proportionate responses. Isolation may be immediate for an ordinary endpoint, while a critical device triggers rapid human approval, network segmentation, or a restricted operating mode that preserves essential service. Evaluation should include total operating cost, correction effort, and recovery time alongside speed or benchmark results. Otherwise, apparent efficiency can simply move work to another team or a later stage. Finance and operations should agree the calculation so favourable activity measures do not substitute for realised value.

Ethical by Design Extends Beyond Compliance

Raymond described ethical cybersecurity as responsible protection of systems, people, and society. ManageEngine says it embeds fairness, transparency, and accountability during product design and does not treat customer data as something to monetise or monitor without purpose. The development is best understood as a reallocation of work across software, infrastructure, and people rather than as the removal of human responsibility. Job design and training should change deliberately so staff retain the knowledge needed to recognise and resolve unusual cases.

Principles need observable implementation: data minimisation, documented model inputs, access reviews, meaningful notices, and test results for false positives. Procurement teams should ask for those artefacts instead of accepting broad assurances about trustworthy AI. Human review should be concentrated where consequences are highest rather than added as a ceremonial final click. Reviewers need context, authority, and enough time to recognise when automation has crossed a boundary. Their corrections should improve rules and tests, turning oversight into an active learning mechanism instead of hidden rework.

Privacy and Security Are Not Opposites

The source compared responsible monitoring with security cameras that protect a neighbourhood without pointing into residents’ windows. Effective defence can focus on relevant signals and behaviour rather than collecting every available piece of employee or customer information. Its value will vary by workload, which makes segmented measurement more useful than a single average drawn from the easiest or most visible use cases. Reporting should include weak segments and abstentions, not only the aggregate that presents the system most favourably.

Privacy-preserving design reduces breach impact and can improve signal quality by forcing teams to justify collection. Security analysts still need enough context to investigate, so purpose-specific access and time-limited escalation are preferable to either unlimited surveillance or deliberate blindness. Distributional checks are essential: averages can hide weak performance for a language, location, customer group, or unusual workload. Feedback from people closest to the process should shape the next deployment decision. Publishing known limitations internally also helps users choose when another tool or a human specialist is more appropriate.

Humans Need Authority Over Automation

AI systems can correlate alerts and act faster than analysts, but their confidence may not reflect the real-world cost of a mistake. Ethical deployment keeps people involved where business continuity, rights, or safety can be affected. What appears to be one product decision is consequently a chain of choices about data access, integration, monitoring, escalation, and long-term maintenance. Mapping those choices early gives decision-makers a realistic budget and reveals where a reversible trial is preferable to a broad commitment.

Oversight must be operational: named responders, reachable escalation channels, rehearsed playbooks, and interfaces that explain why a control recommends action. A human who lacks time or authority to intervene is not a meaningful safeguard. The deciding factor is likely to be execution discipline: realistic baselines, clear ownership, routine monitoring, and a workable exit path. Those elements convert an impressive capability into dependable infrastructure. They also give leaders a common language for comparing competing proposals whose marketing claims otherwise use incompatible measures.

Independent measurement will be particularly valuable where suppliers define the headline metric or where future specifications remain subject to change. Ethical security is not softer security. It asks a harder question: whether a control reduces total harm in the environment where it operates. The answer requires technical evidence, local context, and people authorised to choose continuity or containment when neither option is risk-free.

Post Views: 54
Total
0
Shares
Share 0
Tweet 0
Pin it 0
Share 0
Topics
  • Cybersecurity
  • Ethics
  • ManageEngine
  • Privacy
  • Ransomware
Previous Article
A retail employee using an approved AI assistant beside softly lit shelves and a clear privacy shield
  • Cybersecurity

Retail’s Generative AI Boom Expands the Security Surface

  • September 24, 2025
View Post
Next Article
Five distinct application security instruments arranged around a clean software delivery pipeline
  • Cybersecurity

Five AI AppSec Tools Target Modern Software Risk

  • October 1, 2025
View Post

Stay Ahead of AI

Get the AI developments that matter, delivered to your inbox.

More AI News
AI-generated conceptual still life of a smartphone and two ceramic bowls, one containing unmarked coins, illustrating questions about users and paying customers
View Post
  • 3 min
  • Business & Markets

Olivia Moore’s Consumer AI Outlook Raises a Question: Who Pays?

  • October 9, 2026
AI-generated illustrative photograph of an anonymous civilian researcher examining papers in an archive, not an actual US Army facility or a named person
View Post
  • 3 min
  • Research & Papers

Thread AI’s Army Research Agreement Is Not Yet a Performance Result

  • October 9, 2026
AI-generated illustrative photograph of an anonymous adult designer sketching abstract curves in a studio, not a portrait of Jessica Hische or an image of the Muse logo
View Post
  • 3 min
  • Consumer & Creative

Human-Made AI Branding and the Limits of Client Endorsement

  • October 9, 2026
AI-generated conceptual editorial illustration of a digital workflow passing through a controlled gate with a separate return receipt, without readable text
View Post
  • 3 min
  • AI Agents

SAS Interview Puts the Lifetime of Agent Permissions Under Scrutiny

  • October 9, 2026
AI-generated conceptual editorial illustration of an open rulebook and balanced geometric AI nodes in a civic architectural setting, with no readable text
View Post
  • 3 min
  • Regulation & Government

CFR’s AI Oversight Proposal Puts the Rules for Writing Rules in Focus

  • October 9, 2026
AI-generated editorial illustration in a photographic style of adult learners using laptops in a bright Abu Dhabi-inspired training room, not a photograph of the actual programme
View Post
  • 3 min
  • Education & Media

Abu Dhabi Targets 20,000 Employees With AiNative Training as Capability Becomes the Test

  • October 9, 2026
Illustrative photograph of an unbranded compact sedan in an empty parking lot with cameras and an attentive adult safety observer, representing supervised driving research
View Post
  • 3 min
  • Autonomous Vehicles

AI Driving Experiment Shows Physical Control While a Parking-Lot Test Reveals Limits

  • October 7, 2026
Illustrative scene of a fictional adolescent talking with an adult caregiver at a kitchen table with a phone set aside, representing human support beyond a chatbot
View Post
  • 3 min
  • AI Safety & Security

Teen Chatbot Safety Study Questions Engagement Cues as OpenAI Disputes Its Methods

  • October 7, 2026

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Subscribe

Subscribe now to our newsletter

AI Updates
  • About
  • Newsletter
  • Contact
  • Privacy Policy
  • Terms of Use
Artificial Intelligence News

Input your search keywords and press Enter.

Go to mobile version