By nature, security teams are risk-averse, with most adopting the mindset that nothing can go wrong. However, this demand for total control is exposing their company to additional serious risks, as they consider overlooking new solutions and becoming overwhelmed as a result. To keep up with today’s cybercriminals, the CISO should abandon this approach. It’s time for a ‘risk reset,’ in fact.
Despite the growing number of daily alerts and threats that companies confront, many still manage their security measures using manual processes and controls. But this is why automation is so important in today’s cybersecurity. If properly implemented, technologies such as machine learning and artificial intelligence (AI) can alter threat monitoring by allowing for not just real-time identification of threats but also intelligent automated responses.
For many CISOs, delegating this responsibility to “machines” is a frightening prospect, but it’s one they can no longer avoid. Cybercriminals have already made the transition to automation, therefore overcoming this cognitive dissonance and accepting automation is more vital than ever.
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It’s time for CISOs to evolve
The problem is that businesses believe their current cybersecurity measures are adequately protecting them from everyday threats. For several reasons, CISOs are hesitant to relinquish authority in favor of automation, but one of the most significant challenges to automation adoption is a lack of trust. For security leaders, the prospect of robots making choices, taking charge of some security measures, and maybe making mistakes or interfering with operations can be intimidating. This sense of confidence extends to the third-party vendors who many people turn to for AI implementation. Businesses are skeptical that these providers are familiar enough with their organization or understand the complexities of cybersecurity.
Many people also believe that incorporating automation into cybersecurity efforts requires them to go all-in. The idea that automation should be done without human intervention, on the other hand, must be dispelled. Depending on the industry, each organization faces different types and levels of threats, and automation can be adjusted to effectively build a partnership between machine-assisted and human-led decision-making. If done correctly, this strategy will allow AI to learn from humans, allowing it to make better and more intelligent decisions — eventually to the point where humans are no longer required.
So, when it comes to approaching security, it’s time for a philosophical shift. Businesses will not be able to thrive without automation, as modern cyber-attacks are extensively automated.
Artificial intelligence is introduced
Automation, in the end, evens out the cybersecurity playing field. The most obvious application of AI is to improve the speed and efficiency of routine security tasks. With so much data available, it can be difficult for security teams to pinpoint the information that is relevant to their businesses.
AI-powered automation can help make sense of it all, freeing up staff time to focus on more pertinent threats. This is especially relevant when considering that cyber-skills are in short supply in many companies. If a new threat is discovered, automation can be utilized to provide updates and patches to protect networks faster and reduce the impact of the attack.
Even better, and crucial for staying ahead of the threat landscape, AI can forecast behaviors, allowing firms to be more prepared and respond to emerging threats faster. It also does not necessitate a “tear and replace,” contrary to popular notion. When done correctly, automated solutions can be linked with current technologies across the security ecosystem, allowing enterprises to improve their capabilities while also identifying security weaknesses without having to replace existing investments.
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