AI And Cyber Security Challenge
Technology will never stop progressing, ever since we witnessed those famous early cryptanalysts Alan Turing and Marian Rejewski crack the Nazi Enigma machine during World War II. Their brilliance determined the test of when a computer is “intelligent” in conversation if it was impossible to tell the difference between the computer and the human then that computer passed as AI and Cyber Security challenge.
AI and cybersecurity continually evolving
Since the mid-1990s, AI and cybersecurity have intertwined in assisting organizations in awareness of vulnerabilities in time before an incident materializes. For businesses, the assistance AI provides for IT infrastructure instabilities such as data breach and detection is imperative. With these continuous and growing cyber-attacks, the biggest fear is keeping up, keeping ahead and staying in control. Technological advances can help – tools such as
- machine learning,
- automation,
- and artificial intelligence.
These are enabling organizations to stay on top of existing and emerging threats.
Emergences of machine learning in recent times
Chronicle is Google’s security offshoot (from Alphabet). A platform to allow organizations to manage and make sense of all their data. It offers security intelligence and analytic tools enabling the elimination of vulnerable areas, rapid detection of security threats, and generally providing a clear picture of an organization’s security stance.
Magnifier is a contribution from Palo Alto Networks. Magnifier offers an improved threat detection platform based upon a behavioral analyzing tool, analyzing structured and unstructured data with machine learning. Other options to enhance security with machine learning technology is to add top up apps onto existing security measures.
For example, the Bay Dynamics Artificial Intelligence tool is partnered with Symantec to help reduce security threats. Also for creating proactive technology to detect and expose risks, helping businesses to protect the integrity of their data. Other combinations of AI offering security solutions are IBM QRadar and Watson, Splunk and Caspida.
These advances in cyber protection are a timely reaction to an expensive and destructive phase of data breaches. Organizations not only need to protect their wallets but also their data. The lifeblood of organizations and AI is no longer viewed as a niche security measure, but rather available for all.
The take-up on AI-based cyber-risk compliance with GDPR measures has increased during the past six months with SMEs demanding AI-based technology-powered security solutions. Forecasters are predicting the IoT will see an increase in domestic demand for security for our cars and household appliances and devices.
The presence of hackers will always worry about technology experts. It will still be possible for cybercriminals to trick individuals. For example using AI and machine learning for phishing attacks, creating fake accounts using imagery to impersonate.
Future of AI?
It is going to be interesting to see what the future holds for AI and machine learning security measures. GDPR has played a role in creating awareness for individuals who are encouraged to take their security measures seriously, to protect themselves from cybercrime.
Organizations facing harsh financial penalties, loss of reputation and sanctions for failure to manage the data they manage correctly are a further step. The war will continue, and the good machines are winning battles. There remains a great deal of work and investment for the future protection of data.
