CISOs Must Scale Phishing Detection With Interactive Sandboxes
Phishing is no longer obvious bait. Modern campaigns hide behind legitimate services, encrypted traffic, and polished messages, and they move faster than many SOC workflows can handle, researchers and vendors warn.
Why phishing is harder to catch
The Cybersecurity and Infrastructure Security Agency (CISA) has said that phishing remains a leading initial access vector for cyberattacks, and a Columbia University team led by Wei Hao found that AI is now being used to improve email quality and make phishing messages more convincing. “Our results show that attackers are primarily using AI to improve email quality rather than altering attack strategies,” Wei Hao said, adding that this makes spam harder to detect.
The IBM Institute for Business Value reported a sharp rise in malware that steals information delivered via phishing, and said, “Phishing has emerged as a shadow infection vector for valid account compromises.” Those trends make early, accurate detection critical for CISOs who want to prevent credential theft, account takeover, and lateral movement across cloud and SaaS systems.
Three practical steps CISOs can take now
Security teams that struggle with volume and encrypted phishing should focus on three changes to scale detection and investigation.
1) Safe interaction: Static indicators like domain reputation or file hashes often miss multi-step phishing flows. Interactive sandboxing lets analysts execute suspicious links or attachments in a controlled environment, click through redirects, and test credential capture pages without risking users. Sandbox vendor ANY.RUN said interactive sessions can reveal complete attack chains that static checks miss, producing actionable indicators for faster containment.
2) Automation that mimics human interaction: Volume is the enemy of timely response. MANY phishing pages include CAPTCHAs, QR gates, or multi-step redirects that break simple automation. ANY.RUN told its customers that combining automated execution with safe interactivity increases throughput: automated runs can follow redirects and solve interaction gates, returning a verdict in seconds in many cases and reducing manual analyst workload.
3) Breaking encrypted opacity: Phishing increasingly operates inside HTTPS sessions on legitimate domains, so decryption during analysis is essential. Vendors that extract keys from process memory in a sandbox can decrypt and inspect encrypted flows during execution, exposing credential capture, token theft, and redirect activity that network monitoring alone cannot see. ANY.RUN and similar analysis platforms highlight SSL decryption during sandbox runs as a key enabler of earlier detection.
Together those three approaches let SOCs validate suspicious messages faster, cut false positives, and escalate incidents with behavioral evidence rather than guesswork. ANY.RUN and other providers say customers see measurable efficiency gains from this hybrid model, including faster verdicts and lower Tier 1 workload.
Phishing is not just an email problem anymore. Attackers use SMS, voice, QR codes, collaboration tools, and social media to harvest credentials and deliver infostealers. IBM’s report shows information-stealing malware rose sharply, and Columbia’s research shows AI is powering more convincing campaigns. That combination means CISOs must pair technology changes with continuous training, adaptive authentication, and zero trust controls to reduce impact if a compromise happens.
As phishing grows more sophisticated, the organizations that win are those that test suspicious content safely, automate interaction when possible, and decrypt sessions during analysis so the SOC sees the real behavior. Those steps give CISOs a practical path to stop credential theft and account takeover before business impact occurs.
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