The guidelines were developed by the UK’s National Cyber Security Centre (NCSC) and the US’ Cybersecurity and Infrastructure Security Agency (CISA). They have already secured endorsements from 17 other countries, including all G7 members.

The guidelines provide recommendations for developers and organisations using AI to incorporate cybersecurity at every stage. This “secure by design” approach advises baking in security from the initial design phase through development, deployment, and ongoing operations.  

Specific guidelines cover four key areas: secure design, secure development, secure deployment, and secure operation and maintenance. They suggest security behaviours and best practices for each phase.

The launch event in London convened over 100 industry, government, and international partners. Speakers included reps from Microsoft, the Alan Turing Institute, and cyber agencies from the US, Canada, Germany, and the UK.  

NCSC CEO Lindy Cameron stressed the need for proactive security amidst AI’s rapid pace of development. She said, “security is not a postscript to development but a core requirement throughout.”

The guidelines build on existing UK leadership in AI safety. Last month, the UK hosted the first international summit on AI safety at Bletchley Park.

US Secretary of Homeland Security Alejandro Mayorkas said: “We are at an inflection point in the development of artificial intelligence, which may well be the most consequential technology of our time. Cybersecurity is key to building AI systems that are safe, secure, and trustworthy.

“The guidelines jointly issued today by CISA, NCSC, and our other international partners, provide a common-sense path to designing, developing, deploying, and operating AI with cybersecurity at its core.”

The 18 endorsing countries span Europe, Asia-Pacific, Africa, and the Americas. Here is the full list of international signatories:

• Australia – Australian Signals Directorate’s Australian Cyber Security Centre (ACSC)
• Canada – Canadian Centre for Cyber Security (CCCS) 
• Chile – Chile’s Government CSIRT
• Czechia – Czechia’s National Cyber and Information Security Agency (NUKIB)
• Estonia – Information System Authority of Estonia (RIA) and National Cyber Security Centre of Estonia (NCSC-EE)
• France – French Cybersecurity Agency (ANSSI)
• Germany – Germany’s Federal Office for Information Security (BSI)
• Israel – Israeli National Cyber Directorate (INCD)
• Italy – Italian National Cybersecurity Agency (ACN)
• Japan – Japan’s National Center of Incident Readiness and Strategy for Cybersecurity (NISC; Japan’s Secretariat of Science, Technology and Innovation Policy, Cabinet Office
• New Zealand – New Zealand National Cyber Security Centre
• Nigeria – Nigeria’s National Information Technology Development Agency (NITDA)
• Norway – Norwegian National Cyber Security Centre (NCSC-NO)
• Poland – Poland’s NASK National Research Institute (NASK)
• Republic of Korea – Republic of Korea National Intelligence Service (NIS)
• Singapore – Cyber Security Agency of Singapore (CSA)
• United Kingdom – National Cyber Security Centre (NCSC)
• United States of America – Cybersecurity and Infrastructure Agency (CISA); National Security Agency (NSA; Federal Bureau of Investigations (FBI)

UK Science and Technology Secretary Michelle Donelan positioned the new guidelines as cementing the UK’s role as “an international standard bearer on the safe use of AI.”

“Just weeks after we brought world leaders together at Bletchley Park to reach the first international agreement on safe and responsible AI, we are once again uniting nations and companies in this truly global effort,” adds Donelan.

The guidelines are now published on the NCSC website alongside explanatory blogs. Developer uptake will be key to translating the secure by design vision into real-world improvements in AI security.

(Photo by Jan Antonin Kolar on Unsplash)

See also: Paul O’Sullivan, Salesforce: Transforming work in the GenAI era

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Cyber Security & Cloud Expo and Digital Transformation Week.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Now, AI is integrating into commercial security systems and starting to revolutionise technology. Modern security systems with AI technology can help security teams better detect threats and provide faster responses to protect your business more effectively. 

Enterprises can leverage AI to enable security operators to analyse data more efficiently and streamline operations, allowing teams to adjust their focuses to more critical matters and better detect anomalies as they occur.

Altogether, AI empowers your security teams to provide better and faster responses to threats, strengthening your security systems for the safety of your enterprise. 

Use data to adopt and automate learned behaviours

One use case for AI is leveraging its learning capabilities to automate responses. AI can be used to evaluate patterns of data over time, and learn from it. By formulating automated responses, AI streamlines necessary processes, allowing security teams to focus on the most critical matters.

In many cases, AI empowers users to perform necessary tasks more efficiently, while maintaining the data safety and organisational standards required for optimal operations. 

When converging physical and cybersecurity systems, AI technology is useful for analysing combined data streams.

Learned behaviours can make managing the millions of data points coming from across an enterprise network of systems more streamlined, helping security teams pinpoint areas of concern with automated alerts, as well as facilitating efficient audits for security trends over time.

For example, if your security team repeatedly dismisses a specific alert on their video security system, over time a pattern will form that AI technology will recognise. It can trigger an automated response to dismiss this alert, reducing the number of unnecessary alerts.

AI interprets data and uses it to inform its responses, streamlining your system effectively. However, it’s important that your system maintains a record of all alerts and activity so the system can be audited regularly to ensure optimal functionality. 

Increased productivity and accuracy 

AI’s automated responses and workflows can substantially impact your converged security system’s productivity and accuracy.

With workforces adopting more hybrid schedules, there is a need for security teams to be increasingly flexible and available. AI can help cyber and physical security teams be more agile and efficient even as more data and information comes their way.

This reduces unnecessary burdens on your converged security team, allowing them to move their focus onto more critical matters and complete work productively. 

Take a look at how the Openpath Video Intercom Reader Pro leverages AI to facilitate visitor access.

When a visitor, delivery courier, or vendor initiates a call using the doorbell on the reader, the intelligent voice system routes the call to the correct person based on the responses from the guest.

The system can even be programmed to route calls to secondary teams or a voicemail service based on tenant availability and door schedules. 

With access control, video security, and cybersecurity systems, AI can be used to help security operators determine which areas need immediate focus, provide real-time alerts, and help security teams increase their productivity to ensure that your enterprise remains safe and performs to the best of its ability. 

Ability to detect anomalies

A good example of using AI to strengthen commercial security systems is detecting anomalies in the security network and behaviours.

Especially in large enterprises, it can be difficult for security staff to monitor every single instance across the network, so data-driven AI learns to recognise specific changes or patterns.

These anomalies may come in the form of user behaviours, data packages sent over the network, or hacking attempts on cybersecurity systems. 

AI can detect abnormal network behaviour using a baseline of what is common and what isn’t. For example, Ava Aware uses AI in their video security software to alert security staff to detect unusual motion or behaviour.

If the AI does notice an anomaly, an automated response alerts security staff to the threat, allowing them to evaluate and take appropriate action. Remote access and real-time notifications help keep your on-prem and cloud-based security systems safe even when your security team is away from the office. 

While AI is helpful in detecting anomalies to common patterns and attacks, it’s not fool proof. Sophisticated attacks can hide their signature and trick AI systems into ignoring the threat.

Human monitoring and intervention is still necessary, and you should never depend solely on AI to protect your security systems.

Overall, AI can assist your team in detecting threats and anomalies across your security system on a large scale, and allow security teams to act proactively and productively to protect your enterprise. 

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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The world’s largest tech exhibition, CES is taking place at the Las Vegas Convention Centre (LVCC) from 5-7 January this year.

MicroAI has partnered with communications solutions provider iBASIS to showcase Launchpad’s management capabilities at booth 12318.

Using connectivity provided by iBASIS, the demo will show how Launchpad manages MicroAI software running on embedded devices and handles data from multiple sensors.

It will also highlight Launchpad’s ability to securely administer a fleet of SIM cards within the same portal, thus simplifying mobile device management for customers.

MicroAI CEO, Yasser Khan, said: “Edge-native AI enables embedded AI software to run on microcontrollers and microprocessors in endpoint devices, transforming how AI can be made available right where data is captured.

Launchpad provides a straightforward way for companies to manage this – opening up new opportunities across many industry sectors.”

The company’s new security software will also be on show at its booth. MicroAI Security uses a proprietary embedded AI algorithm to detect, alert, and visualise cyber security attacks in real-time, running directly on edge and endpoint connected devices.

Use cases range from standard cyber attack mitigation to protecting critical assets, IoT devices, and industrial systems.

MicroAI will be demonstrating how its software can be used by manufacturers at the Trump International Tower a mile west of the LVCC.

By collaborating with KDDI, who are providing an LTE network for the system, MicroAI will show how its software enables data from sensors in a factory to be analysed by edge AI algorithms.

MicroAI Grid then enables a manufacturer to link this with multiple sites around the world, automatically sharing data and intelligence.

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo. The next events in the series will be held in Santa Clara on 11-12 May 2022, Amsterdam on 20-21 September 2022, and London on 1-2 December 2022.

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