A current survey of 500 safety professionals by HackerOne, a safety analysis platform, discovered that 48% imagine AI poses probably the most important safety danger to their group. Amongst their biggest considerations associated to AI embrace:
- Leaked coaching knowledge (35%).
- Unauthorized utilization (33%).
- The hacking of AI fashions by outsiders (32%).
These fears spotlight the pressing want for corporations to reassess their AI safety methods earlier than vulnerabilities turn out to be actual threats.
AI tends to generate false positives for safety groups
Whereas the complete Hacker Powered Safety Report gained’t be obtainable till later this fall, additional analysis from a HackerOne-sponsored SANS Institute report revealed that 58% of safety professionals imagine that safety groups and risk actors may discover themselves in an “arms race” to leverage generative AI techniques and methods of their work.
Safety professionals within the SANS survey mentioned they’ve discovered success utilizing AI to automate tedious duties (71%). Nonetheless, the identical contributors acknowledged that risk actors may exploit AI to make their operations extra environment friendly. Particularly, respondents “have been most involved with AI-powered phishing campaigns (79%) and automatic vulnerability exploitation (74%).”
SEE: Safety leaders are getting annoyed with AI-generated code.
“Safety groups should discover the perfect purposes for AI to maintain up with adversaries whereas additionally contemplating its present limitations — or danger creating extra work for themselves,” Matt Bromiley, an analyst on the SANS Institute, mentioned in a press launch.
The answer? AI implementations ought to endure an exterior overview. Greater than two-thirds of these surveyed (68%) selected “exterior overview” as the simplest strategy to determine AI security and safety points.
“Groups at the moment are extra practical about AI’s present limitations” than they have been final 12 months, mentioned HackerOne Senior Options Architect Dane Sherrets in an e-mail to TechRepublic. “People deliver a number of vital context to each defensive and offensive safety that AI can’t replicate fairly but. Issues like hallucinations have additionally made groups hesitant to deploy the know-how in vital methods. Nonetheless, AI remains to be nice for growing productiveness and performing duties that don’t require deep context.”
Additional findings from the SANS 2024 AI Survey, launched this month, embrace:
- 38% plan to undertake AI inside their safety technique sooner or later.
- 38.6% of respondents mentioned they’ve confronted shortcomings when utilizing AI to detect or reply to cyber threats.
- 40% cite authorized and moral implications as a problem to AI adoption.
- 41.8% of corporations have confronted pushback from staff who don’t belief AI selections, which SANS speculates is “because of lack of transparency.”
- 43% of organizations presently use AI inside their safety technique.
- AI know-how inside safety operations is most frequently utilized in anomaly detection methods (56.9%), malware detection (50.5%), and automatic incident response (48.9%).
- 58% of respondents mentioned AI methods battle to detect new threats or reply to outlier indicators, which SANS attributes to an absence of coaching knowledge.
- Of those that reported shortcomings with utilizing AI to detect or reply to cyber threats, 71% mentioned AI generated false positives.
Anthropic seeks enter from safety researchers on AI security measures
Generative AI maker Anthropic expanded its bug bounty program on HackerOne in August.
Particularly, Anthropic desires the hacker neighborhood to stress-test “the mitigations we use to forestall misuse of our fashions,” together with attempting to interrupt by means of the guardrails supposed to forestall AI from offering recipes for explosives or cyberattacks. Anthropic says it should award as much as $15,000 to those that efficiently determine new jailbreaking assaults and can present HackerOne safety researchers with early entry to its subsequent security mitigation system.
