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MSP Security: Can AI and Machine Learning Predict the Future?

Cybercrime is a lucrative business—so much so that criminal organizations work tirelessly to innovate and develop new forms of malware, phishing emails, ransomware, embedded code, and attack strategies that can avoid detection by security solutions.

Consider the following stats that demonstrate the increases in speed and execution we’re seeing: As you probably already know, these increases don’t involve the same old malware and phishing emails from, say, two years ago;

Instead, the protection you offer needs to work predictively, using both historical data and cutting edge tech to discover trends and determine potential threats before they have a negative impact on your customers.

But the real question here is, “can AI actually predict the future?” While AI and ML-based cybersecurity solutions can’t tell you when to buy a lottery ticket or what the winning numbers might be, they absolutely can accurately calculate and anticipate future of security incidents.

Legal Sector Sees Spike in Cyber Crime

Leading industry expert, Darktrace Director of Threat Hunting Max Heinemeyer discusses why the legal sector is becoming one of the most frequently targeted by cyber criminals in the Asia Pacific region.

Rising cyber-attacks in law firms are partly due to inadequate cyber awareness and preparedness, perhaps in part due to continued reliance on legacy security tools focused only on defending the network perimeter.

For small security teams, AI technologies are a game changer that can rank genuine threats by their level of deviation from ‘normal’ and alert security teams to genuine threats, resulting in hours saved and a more effective workflow.

After recovering from a near-miss cyber-attack almost two years ago, ONC Lawyers revamped its security strategy by deploying our cyber AI platform to autonomously identify and neutralise unpredictable cyber threats before they become fullblown attacks.

Law firms have a lot at stake in the event of a disastrous data breach or if their email servers are used to send fraudulent emails – they face not only significant reputational damage but also a loss of confidentiality, a core tenet that their clients covet.

While no organisation is immune to cyber-attacks in today’s digital age, using multi-factor authentication for email access, ensuring computers and mobile devices stay up to date, and tapping on technologies like AI and machine learning to immediately detect and respond to emerging dangers go a long way towards improving security.

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