Offensive artificial intelligence (AI) is creating new threats in global organizations, with a recent Forrester study showing that almost 80% of cyber security specialists expect offensive AI to increase the scope and velocity of its security attacks. AI attacks will be unexpected and difficult to detect – since they are increasingly relying on new approaches that evade traditional security measures.
If your organization has sensitive data you need to protect, the use of AI in your own security strategy can help detect suspicious activity more efficiently.
Managed IT Services
The speed and scale of new AI attacks indicate the extent to which organizations already need to take steps to manage their cybersecurity in this, the age of the ‘fourth industrial revolution’ (known as Industry 4.0). As stated by Taylored Systems, modern businesses are increasingly reliant on digital tools such as AI, the IoT, mobile advancements, robotics, quantum computing, and nanotechnology (to name just a handful of new technologies).
Medium to large-scale organizations and any businesses handling substantial amounts of sensitive data should essentially rely on a team that evolves in line with the latest cybersecurity tech tools and AI hacking trends. If you have your own IT team, then providing continual training is key if they are to keep up with the vertiginous rise of AI cyberattack teams.
Current Flaws in the System
The Forrester report shows that it takes 44% of companies over three hours to discover that a cyber infection has taken place. Around 60% of them will take over three hours to understand the exact scope and effect of the attack, yet only 40% can remove the threat from the environment in less than three hours.
The authors argue that reliance on purely human solutions is a key issue, since AI is simply too quick to detect and react to in this manner. They add, “Without faster and more autonomously enhanced analytics, organizations shift the balance of power to the attacker.”
Unified Solutions are Key
In order to defend themselves against AI attacks, organizations need to adopt a unified defense that covers IoT, email, the cloud, and the corporate network, covering all bases with equal effectiveness.
Their strategy must be precise and speedy enough to keep pace with AI-produced threats. In order to do so, they will need to augment their AI use so as to adapt to shifting vectors, to reduce detection time, and to shorten the time required to understand the scope of the attack.
Just one example of how AI can help organizations is through behavioral analytics of how company devices are used (by whom and at what times? Deviations from standard use can alert security systems to the existence of a possible threat.
AI threats are faster and wider in scope than ever before – a fact that organizations with data to protect need to take into account when designing new security strategies.
The only way to fight AI attacks is the adoption of augmented AI defenses that cover the full gamut of the organization’s online use. Through tactics such as behavioral-based analytics, security can become increasingly speedier, more sophisticated, and more efficient.