In today's digital age, cybersecurity and compliance requirements have become an increasingly crucial aspect of running any business. The use of artificial intelligence (AI) in cybersecurity has emerged as a popular solution for many organizations looking to improve their security posture, or just to create cheap efficiency. However, this technology has also introduced new dangers. As a CISO, CEO, or CFO, it is critical to be aware of the potential risks AI poses to both cybersecurity and compliance.
False Positives and the Inability to Discern Intent
One common danger of AI in cybersecurity is its tendency to produce false positives. AI may flag benign activities as suspicious or malicious, leading to unnecessary and costly investigations. Additionally, AI's inability to discern intent can cause it to misinterpret human behavior as malicious, resulting in unnecessary actions. Ultimately, these false positive alerts can lead to alert fatigue, reducing efficiency and effectiveness in security teams.
Unforeseen Consequences from AI System Failures
Another risk of AI in cybersecurity is the potential for system failures leading to unforeseen consequences. AI relies heavily on machine learning algorithms, which can be manipulated or disrupted by attackers or well-meaning programmers. A successful breach may go unnoticed, allowing attackers to covertly leverage the organization's AI algorithms to infiltrate other systems and data. Furthermore, AI systems may occasionally produce unexpected results, creating new security vulnerabilities and compliance risks that your organization is still held accountable for…
Use of AI Technology by threat actors
Hackers have begun to exploit the power of AI to elevate their attacks and evade detection. AI-powered attacks can learn from and adapt to current cybersecurity technologies, making them highly effective. Attackers can use AI algorithms to scan networks and steal data more efficiently, plan attacks more strategically, and cover their tracks better, making them difficult to detect. This will morph even the script kitties into highly effective threat actors. Obviously, the implications of these AI-driven attacks can be dangerous for any organization, leading to severe consequences strategically, technically, reputationally and financially.
AI technology's use in cybersecurity compliance performance has its advantages. It can help organizations automatically track and manage their security protocols, report on vulnerabilities, and provide alerts when threats emerge. Nevertheless, AI introduces unique risks to compliance, including the possibility of AI algorithms making decisions contrary to compliance, security, legal, or privacy regulations. Not to mention there is no stop-gap for the moral implications regarding decision making on the use of the ever-changing definition of Personally Identifiable information (PII). Additionally, if a vulnerability or attack is missed due to AI as a single point of failure in security monitoring, the organization may be found to violate laws like 201 CMR 17 (Massachusetts) or compliance standards like ISO/IEC 27001:2022 or FEDRAMP.
Automation without oversight
Finally, a significant danger of relying solely on AI in cybersecurity is the potential risk in transfer to a fully automated security infrastructure. As we humans are lazy, an entirely automated security environment may lead to overreliance on that automation or algorithms, decreasing the importance of human oversight. In such cases, attackers or cybercriminals can exploit what AI misses and bypass security measures all together. With this reliance, organizations and governments will fail to recognize that AI systems (ironically much like humans) have limitations, which will have disastrous consequences.
We are currently in a paradigm shift. Please heed my warning… AI will revolutionize cybersecurity much like the way robots impacted manufacturing. That shift will present new dangers and risks including false positives, unforeseen consequences, hacking, compliance issues, and over-reliance. Organizations must weigh the benefits of artificial intelligence in cybersecurity carefully both technologically and strategically. It is essential to have regular oversight and testing to determine whether AI algorithms are effective. We will need constant communication with human interaction to ensure that no aspect of cybersecurity and compliance is overlooked or misunderstood. By taking these steps, organizations can benefit from using AI and make informed decisions that protect their stakeholders and meet compliance regulations.
Lastly remember this – Automation and AI are exceptional tools to offload human fallacy and create efficiency. However, as my friend Reg Harnish has stated: “You can’t transfer accountability.”
Respectfully yours – Wil Seiler
Katika enzi ya leo ya dijiti, mahitaji ya usalama wa mtandao na kufuata yamekuwa sehemu muhimu ya kuendesha biashara yoyote. Matumizi ya akili bandia (AI) katika usalama wa mtandao yameibuka kama suluhisho maarufu kwa mashirika mengi yanayotafuta kuboresha msimamo wao wa usalama, au tu kuunda ufanisi wa bei nafuu. Hata hivyo, teknolojia hiyo imeleta pia hatari mpya. Kama CISO, Mkurugenzi Mtendaji, au CFO, ni muhimu kuwa na ufahamu wa hatari zinazowezekana za AI kwa usalama wa mtandao na kufuata. Uwezo wa kutofautisha na kutofautisha: Uwezo wa kutofautisha na kutofautisha ni moja ya hatari za kawaida za AI katika usalama wa mtandao, na ni mwelekeo wake wa kutengeneza matokeo ya uwongo. AI inaweza alama shughuli za wema kama mashaka au mbaya, na kusababisha uchunguzi usio wa lazima na wa gharama kubwa. Kwa kuongezea, kutokuwa na uwezo wa AI kutambua nia kunaweza kusababisha uelewaji mbaya wa tabia ya kibinadamu kama uovu, na kusababisha vitendo visivyo muhimu. Hatimaye, tahadhari hizi za uwongo za chanya zinaweza kusababisha uchovu wa tahadhari, kupunguza ufanisi na ufanisi katika timu za usalama. Matokeo yasiyotazamiwa ya Kushindwa kwa Mfumo wa AI: Hatari nyingine ya AI katika usalama wa mtandao ni uwezekano wa kushindwa kwa mfumo kuongoza kwa matokeo yasiyotazamiwa. AI inategemea sana algorithms za kujifunza mashine, ambazo zinaweza kudhibitiwa au kuvurugwa na washambuliaji au waandaaji wa programu wenye nia nzuri. Uvunjaji wa mafanikio unaweza kwenda bila kuonekana, na kuruhusu washambuliaji kutumia algorithms ya AI ya shirika ili kuingilia mifumo mingine na data. Kwa kuongezea, mifumo ya AI inaweza wakati mwingine kuzalisha matokeo yasiyotarajiwa, kuunda udhaifu mpya wa usalama na hatari za kufuata ambazo shirika lako bado linawajibika kwa... Kutumia Teknolojia ya AI na Watendaji wa Tisho: Hackers wameanza kutumia nguvu ya AI kuongeza mashambulizi yao na kuepuka kugunduliwa. Mashambulizi ya AI yanaweza kujifunza kutoka na kukabiliana na teknolojia za sasa za usalama wa mtandao, na kuifanya iwe na ufanisi mkubwa. Watendaji wanaweza kutumia algorithms za AI kuchunguza mitandao na kuiba data kwa ufanisi zaidi, kupanga mashambulizi kwa mkakati zaidi, na kufunika alama zao vizuri, na kufanya iwe vigumu kugundua. Hii itabadilisha hata kitties script katika watendaji tishio ufanisi sana. "Kwa kweli, athari za mashambulizi haya yanayoendeshwa na AI yanaweza kuwa hatari kwa shirika lolote, na kusababisha matokeo mabaya ya kimkakati, kiufundi, sifa na kifedha. """ Utekelezaji wa teknolojia ya AI katika utendaji wa kufuata usalama wa mtandao una faida zake. Inaweza kusaidia mashirika kufuatilia na kusimamia itifaki zao za usalama, kuripoti juu ya udhaifu, na kutoa tahadhari wakati vitisho vinapoibuka. Hata hivyo, AI inaanzisha hatari za kipekee kwa kufuata, ikiwa ni pamoja na uwezekano wa algorithms za AI kufanya maamuzi yanayopingana na kufuata, usalama, kisheria, au kanuni za faragha. "Hakuna ""kuzuia"" kwa athari za maadili kuhusu maamuzi ya matumizi ya ufafanuzi unaobadilika daima wa habari ya kibinafsi inayoweza kutambuliwa." Kwa kuongezea, ikiwa udhaifu au shambulio linakosa kwa sababu ya AI kama hatua moja ya kushindwa katika ufuatiliaji wa usalama, shirika linaweza kupatikana kukiuka sheria kama 201 CMR 17 (Massachusetts) au viwango vya kufuata kama ISO 27002 au FEDRAM. Mwishowe, hatari kubwa ya kutegemea tu AI katika usalama wa mtandao ni hatari ya uwezekano katika uhamisho wa miundombinu ya usalama ya moja kwa moja. Kama sisi wanadamu ni mvivu, mazingira ya usalama ya kiotomatiki inaweza kusababisha kutegemea sana juu ya automatisering au algorithms, kupunguza umuhimu wa usimamizi wa binadamu. Katika kesi kama hizo, washambuliaji au wahalifu wa mtandao wanaweza kutumia kile AI hupoteza na kuzunguka hatua za usalama pamoja. Kwa kutegemea hii, mashirika na serikali zitashindwa kutambua kwamba mifumo ya AI (kwa kushangaza kama wanadamu) ina mipaka, ambayo itakuwa na matokeo mabaya. Kwa sasa tuko katika mabadiliko ya mfano. Tafadhali sikiliza onyo langu... AI itabadilisha usalama wa mtandao kama vile roboti zilivyoathiri utengenezaji. Mabadiliko hayo yataleta hatari mpya na hatari ikiwa ni pamoja na athari za uwongo, matokeo yasiyotazamiwa, hacking, masuala ya kufuata, na kutegemea kupita kiasi. Mashirika lazima kupima faida ya akili bandia katika usalama wa mtandao kwa uangalifu wote teknolojia na kimkakati. Ni muhimu kuwa na usimamizi wa kawaida na kupima ili kuamua kama algorithms AI ni ufanisi. """Tutahitaji mawasiliano ya mara kwa mara na mwingiliano wa kibinadamu ili kuhakikisha kwamba hakuna kipengele cha usalama wa mtandao na kufuata kinapuuzwa au kufahamika vibaya." Kwa kuchukua hatua hizi, mashirika yanaweza kufaidika na kutumia AI na kufanya maamuzi ya habari ambayo yanalinda wadau wao na kukidhi kanuni za kufuata. Mwisho kumbuka hii <unk> Automation na AI ni zana ya kipekee ya offload makosa ya binadamu na kujenga ufanisi. Hata hivyo, kama rafiki yangu Reg Harnish amesema: <unk>Huwezi <unk> kuhamisha uwajibikaji. <unk> Kwa heshima yako <unk> Wil Seiler